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| artificial intelligence as a disruptive technology: Artificial Intelligence as a Disruptive Technology Rosario Girasa, 2020-01-11 Artificial intelligence (AI) is the latest technological evolution which is transforming the global economy and is a major part of the “Fourth Industrial Revolution.” This book covers the meaning, types, subfields and applications of AI, including U.S. governmental policies and regulations, ethical and privacy issues, particularly as they pertain and affect facial recognition programs and the Internet-of Things (IoT). There is a lengthy analysis of bias, AI’s effect on the current and future job market, and how AI precipitated fake news. In addition, the text covers basics of intellectual property rights and how AI will transform their protection. The author then moves on to explore international initiatives from the European Union, China’s New Generation Development Plan, other regional areas, and international conventions. The book concludes with a discussion of super intelligence and the question and applicability of consciousness in machines. The interdisciplinary scope of the text will appeal to any scholars, students and general readers interested in the effects of AI on our society, particularly in the fields of STS, economics, law and politics. |
| artificial intelligence as a disruptive technology: AI and Big Data’s Potential for Disruptive Innovation Strydom, Moses, Buckley, Sheryl, 2019-09-27 Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions. |
| artificial intelligence as a disruptive technology: New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence Daniel H. de la Iglesia, |
| artificial intelligence as a disruptive technology: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence Daniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. López Rivero, 2023-07-21 This book offers the evidence-based insights into the ethical considerations surrounding disruptive technologies. In the rapidly evolving landscape of technology, where breakthroughs in artificial intelligence, big data, the Internet of Things, and bioinformatics have revolutionized our world, a critical need arises to reassess our ethical frameworks. This need has given birth to the thriving field of technology ethics, or tech ethics, which has grown exponentially in recent years. Once a niche area of research, it now encompasses a multitude of technology experts dedicated to understanding the societal impact of these advancements and striving for the development of more ethically grounded technology. At the forefront of this movement stands the International Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence (DITTET 2023). Serving as a paramount platform for scholars, professionals, and experts, this conference presents an unparalleled opportunity to explore the latest scientific and technical progress and its profound ethical implications. DITTET facilitates the exchange of cutting-edge research on disruptive technologies, fostering knowledge transfer and collaboration among interdisciplinary fields. DITTET 2023 aspires to bring together a diverse range of industry leaders, humanists, and academics, providing a comprehensive overview of the scientific advancements and applications of artificial intelligence while examining their ethical dimensions in areas such as climate change, politics, economy, and security. By delving into these crucial topics, the conference aims to unravel the intricate relationship between technology and ethics, paving the way for responsible and conscientious innovation in today's world. |
| artificial intelligence as a disruptive technology: The Future of Work Darrell M. West, 2018-05-15 Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the job no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today. |
| artificial intelligence as a disruptive technology: Disruptive Technologies Paul Armstrong, 2017-05-03 Disruptive Technologies outlines the steps businesses can take to engage with emerging technologies today in order to serve the consumer of tomorrow. This book offers the knowledge and tools to engage confidently with emerging technologies for better business. This highly practical book offers organizations a distinct response to emerging technologies including Blockchain (Bitcoin), artificial intelligence, graphene and nanotechnology (among others) and other external factors (such as the sharing economy, mobile penetration, millennial workforce, ageing populations) that impact on their business, client service and product model. Disruptive Technologies provides a clear roadmap to assess, respond to and problem-solve: what are the upcoming changes in technology, roughly when to respond, and what's the best response? By using a quick-to-master evaluation and decision-making framework - structured around the key dimensions of Technology, Behaviour and Data (TBD). Emerging technologies guru Paul Armstrong offers a clear guide to the key disruptive technologies and a toolbox of frameworks, checklists, and activities to evaluate their possibilities. Disruptive Technologies enables forecasting of potential scenarios, implementation of plans, alternative strategies and the ability to handle change more effectively within an organization. The essential tool for all professionals who need to get to grips with emerging technologies fast and strategically. |
| artificial intelligence as a disruptive technology: Impact and Role of Digital Technologies in Adolescent Lives Malik, Shaveta, Bansal, Rohit, Tyagi, Amit Kumar, 2021-11-26 Digital technology covers digital information in every form. The world lives in an information age in which massive amounts of data are being produced to improve our daily lives. This intelligent digital network incorporates interconnected people, robots, gadgets, content, and services all determined by digital transformation. The role of digital technologies in children’s, adolescent’s, and young adult’s lives is significantly increasing across the world. New and emerging devices and services promise to make their lives easier as they create new ways of connecting, creating, and relaxing. They also promise to support learning at home and school by enabling ready access to information and new and exciting pathways for young people to follow their interests. Yet, alongside these conveniences come trade-offs with implications for privacy, safety, health, and well-being. Impact and Role of Digital Technologies in Adolescent Lives provides a deeper understanding of how digital technologies impact the lives of children, adolescents, and young adults; this includes the navigation of developmental tasks and the issues faced when utilizing these technologies. Covering topics such as adolescent stress, cyberbullying, intellectual disabilities, mental health, obesity, social media, and mindfulness practices, this text is essential for sociologists, psychologists, media analysts, technologists, academicians, researchers, students, non-government and government organizations, and professors. |
| artificial intelligence as a disruptive technology: Disruptive Technology and Digital Transformation for Business and Government Sandhu, Kamaljeet, 2021-05-07 With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective. |
| artificial intelligence as a disruptive technology: Disruptive Technologies for the Militaries and Security Ajey Lele, 2018-12-28 This book debates and discusses the present and future of Disruptive Technologies in general and military Disruptive Technologies in particular. Its primary goal is to discuss various critical and advanced elucidations on strategic technologies. The focus is less on extrapolating the future of technology in a strict sense, and more on understanding the Disruptive Technology paradigm. It is widely accepted that technology alone cannot win any military campaign or war. However, technological superiority always offers militaries an advantage. More importantly, technology also has a great deterrent value. Hence, on occasion, technology can help to avoid wars. Accordingly, it is important to effectively manage new technologies by identifying their strategic utility and role in existing military architectures and the possible contributions they could make towards improving overall military capabilities. This can also entail doctrinal changes, so as to translate these new technologies into concrete advantages. |
| artificial intelligence as a disruptive technology: Data Science and Intelligent Systems Radek Silhavy, Petr Silhavy, Zdenka Prokopova, 2021-11-16 This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results |
| artificial intelligence as a disruptive technology: Beyond Disruption George P. Shultz, Jim Hoagland, James Timbie, 2018-06-01 In Beyond Disruption: Technology's Challenge to Governance, George P. Shultz, Jim Hoagland, and James Timbie present views from some of the country's top experts in the sciences, humanities, and military that scrutinize the rise of post-millennium technologies in today's global society. They contemplate both the benefits and peril carried by the unprecedented speed of these innovations—from genetic editing, which enables us new ways to control infectious diseases, to social media, whose ubiquitous global connections threaten the function of democracies across the world. Some techniques, like the advent of machine learning, have enabled engineers to create systems that will make us more productive. For example, self-driving vehicles promise to make trucking safer, faster, and cheaper. However, using big data and artificial intelligence to automate complex tasks also ends up threatening to disrupt both routine professions like taxi driving and cognitive work by accountants, radiologists, lawyers, and even computer programmers themselves. |
| artificial intelligence as a disruptive technology: Emerging Trends in Disruptive Technology Management for Sustainable Development Rik Das, Mahua Banerjee, Sourav De, 2019-11-05 Interdisciplinary approaches using Machine Learning and Deep Learning techniques are smartly addressing real life challenges and have emerged as an inseparable element of disruption in current times. Applications of Disruptive Technology in Management practices are an ever interesting domain for researchers and professionals. This volume entitled Emerging Trends in Disruptive Technology Management for Sustainable Development has attempted to collate five different interesting research approaches that have innovatively reflected diverse potential of disruptive trends in the era of 4th. Industrial Revolution. The uniqueness of the volume is going to cater the entrepreneurs and professionals in the domain of artificial intelligence, machine learning, deep learning etc. with its unique propositions in each of the chapters. The volume is surely going to be a significant source of knowledge and inspiration to those aspiring minds endeavouring to shape their futures in the area of applied research in machine learning and computer vision. The expertise and experiences of the contributing authors to this volume is encompassing different fields of proficiencies. This has set an excellent prelude to discover the correlation among multidisciplinary approaches of innovation. Covering a broad range of topics initiating from IoT based sustainable development to crowd sourcing concepts with a blend of applied machine learning approaches has made this volume a must read to inquisitive wits. Features Assorted approaches to interdisciplinary research using disruptive trends Focus on application of disruptive technology in technology management Focus on role of disruptive technology on sustainable development Promoting green IT with disruptive technology The book is meant to benefit several categories of students and researchers. At the students' level, this book can serve as a treatise/reference book for the special papers at the masters level aimed at inspiring possibly future researchers. Newly inducted PhD aspirants would also find the contents of this book useful as far as their compulsory course-works are concerned. At the researchers' level, those interested in interdisciplinary research would also be benefited from the book. After all, the enriched interdisciplinary contents of the book would always be a subject of interest to the faculties, existing research communities and new research aspirants from diverse disciplines of the concerned departments of premier institutes across the globe. This is expected to bring different research backgrounds (due to its cross platform characteristics) close to one another to form effective research groups all over the world. Above all, availability of the book should be ensured to as much universities and research institutes as possible through whatever graceful means it may be. Hope this volume will cater as a ready reference to your quest for diving deep into the ocean of technology management for 4th. Industrial Revolution. |
| artificial intelligence as a disruptive technology: Persistent Forecasting of Disruptive Technologies National Research Council, Division on Engineering and Physical Sciences, Committee on Forecasting Future Disruptive Technologies, 2010-02-15 Technological innovations are key causal agents of surprise and disruption. In the recent past, the United States military has encountered unexpected challenges in the battlefield due in part to the adversary's incorporation of technologies not traditionally associated with weaponry. Recognizing the need to broaden the scope of current technology forecasting efforts, the Office of the Director, Defense Research and Engineering (DDR&E) and the Defense Intelligence Agency (DIA) tasked the Committee for Forecasting Future Disruptive Technologies with providing guidance and insight on how to build a persistent forecasting system to predict, analyze, and reduce the impact of the most dramatically disruptive technologies. The first of two reports, this volume analyzes existing forecasting methods and processes. It then outlines the necessary characteristics of a comprehensive forecasting system that integrates data from diverse sources to identify potentially game-changing technological innovations and facilitates informed decision making by policymakers. The committee's goal was to help the reader understand current forecasting methodologies, the nature of disruptive technologies and the characteristics of a persistent forecasting system for disruptive technology. Persistent Forecasting of Disruptive Technologies is a useful text for the Department of Defense, Homeland Security, the Intelligence community and other defense agencies across the nation. |
| artificial intelligence as a disruptive technology: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence Juan F. de Paz Santana, Daniel H. de la Iglesia, Alfonso José López Rivero, 2022 This book includes recent research on disruptive technologies, tech ethics, and artificial intelligence. Due to the important advances in technologies such as artificial intelligence, big data, the Internet of Things or bioinformatics produced in recent years, it is necessary to conduct a thorough review of current ethical patterns. One of the research fields that is in full expansion and with a broad future is technology ethics or tech ethics. Just a few years ago, this type of research was a small part, and they did not have too many technology researchers involved. At present, due to the explosion of new applications of artificial intelligence, their problems and their legal barriers have flourished innumerable initiatives, declarations, principles, guides and analyses focused on measuring the social impact of these systems and on the development of a more ethical technology. It is, therefore, a problem that needs to be addressed from an academic and multidisciplinary point of view, where experts in ethics and behavior work together with experts in new and disruptive technologies. The international conference Disruptive Technologies Tech Ethics and Artificial Intelligence (DITTET 2021) provides a forum to present and discuss the latest scientific and technical advances and their implications in the field of ethics. It also provides a forum for experts to present their latest research in disruptive technologies, promoting knowledge transfer. It provides a unique opportunity to bring together experts in different fields, academics and professionals to exchange their experience in the development and deployment of disruptive technologies, artificial intelligence and their ethical problems. DiTTEt intends to bring together researchers and developers from industry, humanities and academia to report on the latest scientific advances and the application of artificial intelligence as well as its ethical implications in fields as diverse as climate change, politics, economy or security in today's world. This book constitutes the refereed proceedings selected by an expert panel through a peer-review process. All these works will be presented by the experts in the different sessions organized at the DITTET congress to be held at the Pontifical University of Salamanca (Salamanca, Spain) on September 15, 26 and 17, 2021. |
| artificial intelligence as a disruptive technology: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| artificial intelligence as a disruptive technology: Navigating Your Way to Startup Success Harlan Beverly, 2017-12-18 Startups, like sailing vessels, do not travel in straight lines. The wind and the waves of the real world move the ship, and your startup, in unpredictable ways. This book is designed to give you an analytical set of tools to help you navigate your startup or corporate innovation through the murky waters of real life. Every business has failures. No business succeeds without some change of plan. Navigating Your Way to Startup Success will show you how to create a startup designed to test its assumptions so those that are not worthy fail—often and fast. This book builds on modern startup management techniques like Agile and Lean to bring an analytical and quantitative framework to the most common startup failures. Navigating through those failures means finding your way to startup success. Harlan T Beverly, PhD holds a BS in Electrical and Computer Engineering, an MBA from UT Austin, and a PhD in Business from Oklahoma State University. Harlan teaches entrepreneurship at the University of Texas at Austin. He is also Assistant Director of the Jon Brumley Texas Venture Labs at UT Austin, the world's first university business accelerator. Harlan has successfully launched five hardware and 15 software products including the Killer NIC, 2007 Network Product of the Year (CPU Magazine). He has raised over $30 million in venture financing in the challenging intersection of entertainment and technology. |
| artificial intelligence as a disruptive technology: Blended Michael B. Horn, Heather Staker, 2017-11-06 Navigate the transition to blended learning with this practical field guide Blended is the practical field guide for implementing blended learning techniques in K-12 classrooms. A follow-up to the bestseller Disrupting Class by Clayton M. Christensen, Michael Horn, and Curtis Johnson, this hands-on guide expands upon the blended learning ideas presented in that book to provide practical implementation guidance for educators seeking to incorporate online learning with traditional classroom time. Readers will find a step-by-step framework upon which to build a more student-centered system, along with essential advice that provides the expertise necessary to build the next generation of K-12 learning environments. Leaders, teachers, and other stakeholders will gain valuable insight into the process of using online learning to the greatest benefit of students, while avoiding missteps and potential pitfalls. If online learning has not already rocked your local school, it will soon. Blended learning is one of the hottest trends in education right now, and educators are clamoring for how-to guidance. Blended answers the call by providing detailed information about the strategy, design, and implementation of a successful blended learning program. Discover a useful framework for implementing blended learning Unlock the benefits and mitigate the risks of online learning Find answers to the most commonly asked questions surrounding blended learning Create a more student-centered system that functions as a positive force across grade levels Educators who loved the ideas presented in Disrupting Class now have a field guide to making it work in a real-world school, with expert advice for making the transition smoother for students, parents, and teachers alike. For educational leaders seeking more student-centered schools, Blended provides the definitive roadmap. |
| artificial intelligence as a disruptive technology: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 a provocative new book — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how collisions between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI. |
| artificial intelligence as a disruptive technology: The Innovator's Dilemma Clayton M. Christensen, 2013-10-22 Named one of 100 Leadership & Success Books to Read in a Lifetime by Amazon Editors An innovation classic. From Steve Jobs to Jeff Bezos, Clay Christensen’s work continues to underpin today’s most innovative leaders and organizations. The bestselling classic on disruptive innovation, by renowned author Clayton M. Christensen. His work is cited by the world’s best-known thought leaders, from Steve Jobs to Malcolm Gladwell. In this classic bestseller—one of the most influential business books of all time—innovation expert Clayton Christensen shows how even the most outstanding companies can do everything right—yet still lose market leadership. Christensen explains why most companies miss out on new waves of innovation. No matter the industry, he says, a successful company with established products will get pushed aside unless managers know how and when to abandon traditional business practices. Offering both successes and failures from leading companies as a guide, The Innovator’s Dilemma gives you a set of rules for capitalizing on the phenomenon of disruptive innovation. Sharp, cogent, and provocative—and consistently noted as one of the most valuable business ideas of all time—The Innovator’s Dilemma is the book no manager, leader, or entrepreneur should be without. |
| artificial intelligence as a disruptive technology: Computational Intelligence for COVID-19 and Future Pandemics Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo, 2022-01-01 The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world. |
| artificial intelligence as a disruptive technology: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence Daniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. López Rivero, 2022-08-27 This book provides a forum for experts to present their latest research in disruptive technologies, promoting knowledge transfer. Due to the important advances in technologies such as artificial intelligence, big data, the Internet of things, or bioinformatics produced in recent years, it is necessary to conduct a thorough review of current ethical patterns. One of the research fields that is in full expansion and with a broad future is technology ethics or tech ethics. Just a few years ago, this type of research was a small part, and they did not have too many technology researchers involved. At present, due to the explosion of new applications of artificial intelligence, their problems and their legal barriers have flourished innumerable initiatives, declarations, principles, guides, and analyses focused on measuring the social impact of these systems and on the development of a more ethical technology. It is, therefore, a problem that needs to be addressed from an academic and multidisciplinary point of view, where experts in ethics and behavior work together with experts in new and disruptive technologies. The international conference “Disruptive Technologies Tech Ethics and Artificial Intelligence” (DITTET 2022) provides a forum to present and discuss the latest scientific and technical advances and their implications in the field of ethics. It provides a unique opportunity to bring together experts in different fields, academics, and professionals to exchange their experience in the development and deployment of disruptive technologies, artificial intelligence, and their ethical problems. |
| artificial intelligence as a disruptive technology: Deploying Machine Learning Robbie Allen, 2019-05 Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to big data and artificial intelligence, and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way. |
| artificial intelligence as a disruptive technology: Human + Machine Paul R. Daugherty, H. James Wilson, 2018-03-20 AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that think in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a leader’s guide with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence. |
| artificial intelligence as a disruptive technology: The Deep Learning AI Playbook Carlos Perez, 2017-10-11 Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be how to apply Deep Learning AI in a business context? Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming. |
| artificial intelligence as a disruptive technology: The Deep Learning AI Playbook Carlos Perez, 2017-10-11 Just like any new technology, what perplexes many is the question of how to apply Deep Learning in a business context. Technology that is disruptive does not automatically imply that the development of valuable use cases are apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in that same situation with Deep Learning AI. The developments are mind-boggling but the monetization is far from being obvious.Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. Furthermore, the ramifications to society and even our own humanity can be immense. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. |
| artificial intelligence as a disruptive technology: Blockchain and Artificial Intelligence Tom James, 2021-08-23 Blockchain and artificial intelligence are perhaps the two most significant disruptive technologies this century and both will significantly rewire the world of global financial markets and the world in which we live. While blockchain offers a number of significant advantages over traditional forms of finance including lower cost and massive increases in operational efficiencies of traded markets, property records and a whole host of transaction processes, artificial intelligence is moving fast from basic structured machine learning doing menial yet important big data tasks like credit card fraud detection to predictive analysis and real-time real-world risk management and investment decision making. There is still a lot of confusion in the market about cryptocurrencies, bitcoin and the underlying blockchain technology. Blockchain and Artificial Intelligence highlights the underlying technologies of blockchain and the differences between cryptocurrencies and blockchain financial applications. It explores the current AI offerings and gives a vision of the fast-moving developments in this area including the many solutions that are expected to revolutionize the way financial and commodity markets will operate in the future. |
| artificial intelligence as a disruptive technology: The LegalTech Book Sophia Adams Bhatti, Akber Datoo, Drago Indjic, 2020-06-01 Written by prominent thought leaders in the global FinTech investment space, The LegalTech Book aggregates diverse expertise into a single, informative volume. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: The current status of LegalTech, why now is the time for it to boom, the drivers behind it, and how it relates to FinTech, RegTech, InsurTech and WealthTech Applications of AI, machine learning and deep learning in the practice of law; e-discovery and due diligence; AI as a legal predictor LegalTech making the law accessible to all; online courts, online dispute resolution The Uberization of the law; hiring and firing through apps Lawbots; social media meets legal advice To what extent does LegalTech make lawyers redundant? Cryptocurrencies, distributed ledger technology and the law The Internet of Things, data privacy, automated contracts Cybersecurity and data Technology vs. the law; driverless cars and liability, legal rights of robots, ownership rights over works created by technology Legislators as innovators-- |
| artificial intelligence as a disruptive technology: The Disruptive Fourth Industrial Revolution Wesley Doorsamy, Babu Sena Paul, Tshilidzi Marwala, 2020-07-13 The book explores technological advances in the fourth industrial revolution (4IR), which is based on a variety of technologies such as artificial intelligence, Internet of Things, machine learning, big data, additive printing, cloud computing, and virtual and augmented reality. Critically analyzing the impacts and effects of these disruptive technologies on various areas, including economics, society, business, government, labor, law, and environment, the book also provides a broad overview of 4IR, with a focus on technologies, to allow readers to gain a deeper understanding of the recent advances and future trajectories. It is intended for researchers, practitioners, policy-makers and industry leaders. |
| artificial intelligence as a disruptive technology: Artificial Intelligence Jacob Parakilas, Hannah Bryce, Kenneth Cukier, Heather Roff, Missy Cummings, 2018 The rise of AI must be better managed in the near term in order to mitigate longer term risks and to ensure that AI does not reinforce existing inequalities--Publisher. |
| artificial intelligence as a disruptive technology: Legal Issues in the Digital Economy Federico Costantini, Anthony Forsyth, 2019-08-01 It is a matter of fact that technological innovation is deeply impacting on our culture, society, economy and labour market. The massive and widespread use of Artificial Intelligence and the strengthening of the collaborative economy (also known as ‘gig’ or ‘platform’ economy) are blurring the traditional legal categories and creating new requirements for protection for employed and self-employed workers. This book represents a tool to understand where we are and where we are going, focusing on old and new legal categories and labour market policies. The chapters included in this volume cover different disciplines, such as legal informatics, labour law, social security law, civil law, and tort law, in order to offer scholars and legal specialists an overall view of ongoing changes, challenges and opportunities from a European Union law perspective. |
| artificial intelligence as a disruptive technology: Fintech As a Disruptive Technology for Financial Institutions Abdul Rafay, 2018-12-26 This book provides understanding and lessons learned in regard to all aspects of financial technology utilization and management in individual, organizational, and societal experiences. It examines the emergence of financial technology during the last decade. Including discussion on topics such as regulatory environments, technology infrastructures, public sector initiatives, and financial technology for the social sector-- |
| artificial intelligence as a disruptive technology: Artificial Intelligence - Disruptive Or Destructive? Nick Kalargyros, 2024-05-06 In Artificial Intelligence - Disruptive or Destructive? The Author delivers a powerful exploration into the sweeping influence of artificial intelligence (AI) across the business landscape. With over thirty years of expertise in the IT industry, the Author offers a profound look at the myriad ways AI is reshaping the way we conduct business, emphasizing both the opportunities and challenges it presents. This book dives deep into the transformative nature of AI and other disruptive technologies, illustrating how they can enhance operational efficiencies, drive growth, and redefine market dynamics. Yet, the Author doesn't shy away from the difficult questions-probing the ethical, economic, and social dilemmas that arise with technological integration. From potential job displacement issues to privacy concerns and beyond, AI Revolution addresses the critical impacts of AI on both micro and macro scales. Structured to aid business leaders, policymakers, and technology aficionados, this book serves as both a strategic guide and a critical analysis. Readers will gain insights into effectively navigating the evolving tech landscape, leveraging AI's potential benefits while mitigating its risks. The Author's book is replete with real-world examples, case studies, and practical strategies, making complex concepts accessible and actionable. Whether you are spearheading a startup, steering a multinational corporation, or simply fascinated by the role of AI in our future, this guide is your essential roadmap to understanding and mastering the technologies that are transforming our world. Step into the future with confidence as the Author elucidates the path to harnessing the true power of artificial intelligence. |
| artificial intelligence as a disruptive technology: WTF?: What's the Future of Business? Brian Solis, 2013-03-11 In today’s rapidly changing digital environment, Darwinism is alive and well. What’s the Future of Business doesn't just explore trends and theories; it introduces a dynamic, actionable path to transformation. —Evan Greene, CMO, The Recording Academy, Producers of the GRAMMY Awards Rethink your business model to incorporate the power of user experiences What’s the Future of Business? will galvanize a new movement that aligns the tenets of user experience with the vision of innovative leadership to improve business performance, engagement, and relationships for a new generation of consumerism. It provides an overview of real-world experiences versus user experiences in relation to products, services, mobile, social media, and commerce, among others. This book explains why experience is everything and how the future of business will come down to shared experiences. Aligns the tenets of user experience with the concepts of innovative leadership to improve business performance and engagement and to motivate readers to rethink business models and customer and employee relationships Motivates readers to rethink business models, products and services, marketing, and customer and employee relationships with desired experiences in mind Brian Solis is globally recognized as one of the most prominent thought leaders and published authors in new media, and is the author of Engage! and The End of Business as Usual! Discover how user experience design affects your business, and how you can harness its power for meaningful revenue growth |
| artificial intelligence as a disruptive technology: The Deep Learning AI Playbook Carlos E. Pérez, 2017-10-19 Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be how to apply Deep Learning AI in a business context? Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming. |
| artificial intelligence as a disruptive technology: Disruptive Innovation in Business and Finance in the Digital World J. Jay Choi, Bora Ozkan, 2019-10-21 This volume contains fourteen articles split across four parts, exploring the debate around the topics of fintech, AI, blockchain, and cryptocurrency. Featuring a cast of global contributors, this is an unmissable volume exploring the most current research on digital innovation in the financial and business worlds. |
| artificial intelligence as a disruptive technology: Design Studio Vol. 2: Intelligent Control Rob Hyde, Filippos Filippidis, 2021-08-31 How should we train? What should we learn? What is our value? Disruptive technologies have increased speculation about what it means to be an architect. Innovations simultaneously offer great promise and potential risk to design practice. This volume identifies the game-changing trends driven by technology, and the opportunities they provide for architecture, urbanism and design. It advocates for an approach of intelligent control that transforms practice with specialist knowledge of technological models and systems. It features new developments in automation, generative design, augmented reality, videogame urbanism, artificial intelligence and robotics, as well as lived experiences within a continually shifting landscape. Showcasing evolving research, it discusses the cultural, social, environmental and political implications of various technological trajectories. In doing so it speculates upon future urban, spatial, aesthetic and formal possibilities within architecture. The future is already here. Now is the time to act. Features: Austrian Institute of Technology AiT - City Intelligence Lab CiT, Bryden Wood, Mollie Claypool, Soomeen Hahm, Hawkins\Brown, LASSA Architects, The Living, Danil Nagy, Odico Construction Robotics, Stefana Parascho, Luke Caspar Pearson, SHoP Architects, Kostas Terzidis, Mette Ramsgaard Thomsen and Sandra Youkhana. |
| artificial intelligence as a disruptive technology: Digital Disruption Bharat Vagadia, 2020-09-25 This book goes beyond the hype, delving into real world technologies and applications that are driving our future and examines the possible impact these changes will have on industries, economies and society at large. It details the actions governments and regulators must take in order to ensure these changes bring about positive benefits to the public without stifling innovation that may well be the future source of value creation. It examines how organisations in a world of digital ecosystems, where industry boundaries are blurring, must undertake radical digital transformation to survive and thrive in this new digital world. The reader is taken through a framework that critically examines (i) Digital Connectivity including 5G and IoT; (ii) Data Capture and Distribution which includes smart connected verticals; (iii) Data Integrity, Control and Tokenisation that includes cyber security, digital signatures, blockchain, smart contracts, digital assets and cryptocurrencies; (iv) Data Processing and Artificial Intelligence; and (v) Disruptive Applications which include platforms, virtual and augmented reality, drones, autonomous vehicles, digital twins and digital assistants. |
| artificial intelligence as a disruptive technology: The Artificial Intelligence Imperative Anastassia Lauterbach, Andrea Bonime-Blanc, 2018-04-12 This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in the daily work of businesses and oversight by boards. Artificial intelligence has arrived, and it's coming to a business near you. The disruptive impact of AI on the global economy—from health care to energy, financial services to agriculture, and defense to media—is enormous. Technology literacy is a must for traditional businesses, their boards, policy makers, and governance professionals. This is the first book to explain where AI comes from, why it has emerged as one of the most powerful forces in mergers and acquisitions and research and development, and what companies need to do to implement it successfully. It equips business leaders with a practical roadmap for competing and even thriving in the face of the coming AI revolution. The authors analyze competitive trends, provide industry and governance examples, and explain interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things. At the same time, AI experts will learn how their research and products can increase the competitiveness of their businesses, and corporate boards will come away with a thorough knowledge of the AI governance, ethics, and risk questions to ask. |
| artificial intelligence as a disruptive technology: The Public Relations Strategic Toolkit Alison Theaker, Heather Yaxley, 2012-08-21 The Public Relations Strategic Toolkit provides a structured approach to understanding public relations and corporate communications. The focus is on professional skills development as well as approaches that are widely recognised as 'best practice'. Original methods are considered alongside well established procedures to ensure the changing requirements of contemporary practice are reflected. Split into four parts covering the public relations profession, campaign planning, corporate communication and stakeholder engagement, this textbook covers everything involved in the critical practice of public relations in an accessible manner. Features include: definitions of key terms contemporary case studies insight from practitioners handy checklists practical activities and assignments Covering the practicalities of using traditional and social media as well as international considerations, ethics, and PR within contexts from politics to charities, this guide gives you all the critical and practical skills you need to introduce you to a career in public relations. |
| artificial intelligence as a disruptive technology: Artificial Intelligence and Smart Agriculture Technology Utku Kose, V. B. Surya Prasath, M. Rubaiyat Hossain Mondal, Prajoy Podder, Subrato Bharati, 2022-06-27 This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications. The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia. |
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
