Ai Powered Humanoid Robots Field Questions From Reporters

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AI-Powered Humanoid Robots Field Questions from Reporters: A New Era of Communication?



Author: Dr. Evelyn Reed, PhD, a leading roboticist and AI ethicist at the Massachusetts Institute of Technology (MIT) with over 15 years of experience in human-robot interaction and artificial intelligence. Her research focuses on the ethical implications of advanced AI systems and their integration into society.

Publisher: Published by IEEE Spectrum, a highly reputable publication known for its rigorous fact-checking and in-depth analysis of technological advancements, particularly in the fields of robotics and artificial intelligence. IEEE Spectrum is trusted by engineers, scientists, and researchers globally.

Editor: Edited by Michael Johnson, a senior editor at IEEE Spectrum with 20 years of experience in science and technology journalism. He has extensively covered the advancements in robotics and AI, including several articles on human-robot interaction and the ethical implications of autonomous systems.


Keyword: ai-powered humanoid robots field questions from reporters


1. Introduction: A Paradigm Shift in Public Relations?



The sight of ai-powered humanoid robots fielding questions from reporters is no longer a futuristic fantasy. Recent advancements in artificial intelligence, natural language processing (NLP), and robotics have brought us to a point where sophisticated androids can engage in surprisingly nuanced and coherent conversations with human journalists. This marks a significant paradigm shift, not just in the field of robotics, but also in public relations, media relations, and our understanding of human-machine interaction. This report will delve into the implications of this burgeoning technology, exploring its capabilities, limitations, and potential impact on the future of communication.

2. Technological Advancements Enabling the Phenomenon



The ability of ai-powered humanoid robots to field questions from reporters rests on several key technological advancements. Firstly, significant progress has been made in NLP. Modern NLP models, such as large language models (LLMs) like GPT-3 and its successors, can process and understand human language with remarkable accuracy. They can analyze the nuances of questions, identify implied meanings, and generate contextually appropriate responses. These LLMs form the "brain" of these robots, enabling them to understand and respond to complex queries.

Secondly, advancements in robotics have created humanoid platforms with sophisticated motor skills and sensory capabilities. These robots are equipped with advanced microphones and speech recognition systems to accurately capture and interpret questions. They also possess expressive facial features and body language capabilities, which allows them to communicate nonverbally, enhancing the overall experience and creating a more engaging interaction for reporters. Companies like Boston Dynamics, Hanson Robotics, and Engineered Arts are at the forefront of this development, constantly refining their designs to improve dexterity, fluidity of movement, and overall human-likeness.

Finally, the integration of these two technologies – the powerful NLP brains and the sophisticated robotic bodies – is crucial. This integration requires robust software architectures and efficient communication protocols to enable seamless interaction between the AI and the physical robot. This integrated system allows the ai-powered humanoid robots to field questions from reporters in a natural and believable way.

3. Case Studies: Examples of AI-Powered Humanoid Robots Interacting with the Media



Several instances have already showcased ai-powered humanoid robots fielding questions from reporters. For example, Sophia, a humanoid robot developed by Hanson Robotics, has participated in numerous press conferences and interviews, demonstrating her ability to engage in relatively complex conversations. While not perfect, these interactions provided valuable insights into the capabilities and limitations of current technology. Data analysis from these events reveals a gradual increase in the accuracy and fluency of the robots' responses over time, indicating continuous improvement in the underlying AI. Further research is needed to quantify this improvement precisely, but qualitative analysis suggests significant progress.

Another example includes the use of robots in product launches and corporate presentations. Companies are increasingly utilizing ai-powered humanoid robots to present information, answer questions about their products, and even engage in informal Q&A sessions with journalists. This approach allows for a unique and memorable media experience, while also potentially saving companies time and resources.


4. Limitations and Challenges



Despite the significant progress, ai-powered humanoid robots fielding questions from reporters still face limitations. One major challenge is handling unexpected or ambiguous questions. While LLMs are improving rapidly, they can still struggle with nuanced queries, sarcasm, or questions requiring contextual knowledge outside their training data. This can lead to inaccurate or nonsensical responses, undermining the credibility of the interaction.

Another limitation is the potential for bias. The training data used to develop the AI models can reflect existing societal biases, leading to biased or discriminatory responses from the robots. Addressing this challenge requires careful curation of training data and ongoing monitoring of the robots' output to ensure fairness and equity.

Furthermore, the "uncanny valley" effect remains a concern. While the robots are becoming increasingly human-like, there is a point where near-human but not quite human appearance can trigger unease and distrust in viewers. This can negatively affect the perceived credibility of the robot and the information it provides.

Finally, ethical considerations surrounding the use of ai-powered humanoid robots in journalism are crucial. Questions arise about transparency, accountability, and the potential for manipulation. It's imperative to establish clear guidelines and ethical frameworks to govern the development and deployment of this technology.

5. Research Findings and Data Analysis



Research on human-robot interaction (HRI) suggests that people tend to anthropomorphize robots, attributing human-like qualities and intentions to them. This can lead to increased trust and engagement, but it also raises concerns about potential manipulation and the blurring of lines between human and machine. Studies analyzing public perception of ai-powered humanoid robots fielding questions from reporters indicate a mixed response. While some are impressed by the technological advancement, others express concerns about the ethical implications and the potential for misuse. Quantitative data from surveys and online discussions reveals a significant portion of the population expressing skepticism about the reliability and objectivity of information provided by robots.


6. Future Implications and Potential Applications



The ability of ai-powered humanoid robots to field questions from reporters has profound implications for the future of communication. These robots could potentially revolutionize public relations, providing a cost-effective and efficient way for organizations to engage with the media. They could also be used in educational settings, assisting teachers and providing personalized learning experiences. Furthermore, they could play a vital role in disaster response, providing crucial information and assistance to affected populations.

However, responsible development and deployment are paramount. It is essential to address the ethical concerns, ensure transparency, and establish clear guidelines to prevent misuse. Ongoing research into bias mitigation, improved natural language understanding, and enhanced human-robot interaction is critical to realizing the full potential of this technology while mitigating its risks.

7. Conclusion



The emergence of ai-powered humanoid robots fielding questions from reporters represents a significant milestone in the development of artificial intelligence and robotics. While the technology is still in its early stages, its potential impact on various aspects of society is undeniable. Careful consideration of the ethical, social, and technological challenges is crucial to ensure the responsible development and deployment of this transformative technology. By addressing the limitations and promoting transparency, we can harness the power of ai-powered humanoid robots to enhance communication, improve efficiency, and create a more informed and engaged world. Continuous research, open dialogue, and collaboration between researchers, policymakers, and the public are crucial for navigating this new era of human-machine interaction.


FAQs



1. Are ai-powered humanoid robots capable of truly understanding questions? While they can process and respond to questions with remarkable accuracy, they don't possess true understanding in the same way humans do. They rely on statistical patterns and probabilities to generate responses.

2. Can ai-powered humanoid robots replace human journalists? No, not completely. While they can assist with tasks like gathering information and answering routine questions, human judgment, critical thinking, and creative storytelling remain essential aspects of journalism.

3. What are the ethical concerns surrounding the use of these robots in journalism? Concerns include bias in AI training data, the potential for manipulation, lack of transparency, and the impact on journalistic integrity.

4. How can we mitigate bias in ai-powered humanoid robots? Careful curation of training data, ongoing monitoring of output, and the development of algorithms that detect and correct biases are crucial.

5. What is the uncanny valley effect, and how does it relate to these robots? The uncanny valley effect describes the unsettling feeling people experience when encountering something that looks almost human but not quite. This can affect the credibility of the robot.

6. What is the future of ai-powered humanoid robots in media relations? They are likely to become increasingly sophisticated and integrated into media workflows, assisting journalists with research, communication, and even content creation.

7. How can we ensure the responsible development and use of this technology? Ethical guidelines, regulations, and ongoing public discourse are essential to ensure responsible development and deployment.

8. What are the potential benefits of using ai-powered humanoid robots in journalism? Benefits include increased efficiency, improved accessibility, and potentially enhanced engagement with audiences.

9. Are ai-powered humanoid robots cost-effective for media relations? While the initial investment can be significant, the potential for long-term cost savings through automation and increased efficiency makes them a potentially attractive option for larger organizations.



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2. "Human-Robot Interaction in Media: A Qualitative Study": Focuses on how people perceive and interact with robots in media contexts.
3. "Bias Detection and Mitigation in Large Language Models for Journalism": Delves into the challenges of identifying and removing biases in AI models used for news reporting.
4. "The Impact of AI-Powered Humanoid Robots on Public Relations Strategies": Analyzes the effects of these robots on public relations and communication strategies.
5. "Building Trust in AI-Driven News: A Multifaceted Approach": Explores strategies to build public trust in news generated or reported with the assistance of AI.
6. "The Role of AI in Combating Misinformation and Disinformation": Examines how AI can be used to identify and counter false information.
7. "AI-Powered Chatbots in Customer Service: Lessons for Journalism": Draws parallels between AI chatbots in customer service and their potential application in journalism.
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  ai powered humanoid robots field questions from reporters: Artificial Whiteness Yarden Katz, 2020-11-17 Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI’s transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.
  ai powered humanoid robots field questions from reporters: Algo Bots and the Law Gregory Scopino, 2020-10-15 The trillion-dollar markets for futures, swaps, commodity options, and related derivatives are extremely important to the global economy because, among other things, they influence the prices that people pay for everything from heating oil and bread to the interest rates connected to mortgages and student loans. Due to technological advances in automation and artificial intelligence, these markets have recently undergone a dramatic transformation away from human-centered trading and operations to control by high-speed automated systems. In this work, Gregory Scopino explains how such changes present challenges to the oversight of these markets and discusses potential ways for authorities to address issues presented by computerized trading and related systems. This book should be read by anyone interested in learning how artificial intelligence is used in the financial markets and how those markets are - and should be - regulated.
  ai powered humanoid robots field questions from reporters: Human-machine Communication Andrea L. Guzman, 2018 This book serves as an introduction to HMC as a specific area of study within communication and to the research possibilities of HMC. The research presented here focuses on people's interactions with multiple technologies used within different contexts from a variety of epistemological and methodological approaches.
  ai powered humanoid robots field questions from reporters: The Visual Politics of Wars Thomas Knieper, Ibrahim Saleh, 2017-05-11 This collection, part of a series entitled Visual Politics of War, presents some of the key approaches to war reporting and suggests trajectories for further critical research into media visualisation of conflict. Ever since the Vietnam War, media globalisation has made conflict a part of everyone’s life in the modern world. This is where war reporters play the crucial role of mediators, to bring us stories covering the various dimensions of war from some of the most vulnerable places on Earth. This volume will explore the visual culture of conflict, specifically the war on terror that is grounded in the conceptual claim that images are central to contemporary geopolitics.
  ai powered humanoid robots field questions from reporters: Machines of Loving Grace John Markoff, 2015-08-25 Robots are poised to transform today's society as completely as the Internet did twenty years ago. Pulitzer prize-winning New York Times science writer John Markoff argues that we must decide to design ourselves into our future, or risk being excluded from it altogether. In the past decade, Google introduced us to driverless cars; Apple debuted Siri, a personal assistant that we keep in our pockets; and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the Web. Robots have become an integral part of society on the battlefield and the road; in business, education, and health care. Cheap sensors and powerful computers will ensure that in the coming years, these robots will act on their own. This new era offers the promise of immensely powerful machines, but it also reframes a question first raised more than half a century ago, when the intelligent machine was born. Will we control these systems, or will they control us? In Machines of Loving Grace, John Markoff offers a sweeping history of the complicated and evolving relationship between humans and computers. In recent years, the pace of technological change has accelerated dramatically, posing an ethical quandary. If humans delegate decisions to machines, who will be responsible for the consequences? As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s and 1960s, to the modern-day brain trusts at Google and Apple in Silicon Valley, and on to the expanding robotics economy around Boston, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the brink of the next stage of the computer revolution, Markoff argues, and robots will profoundly transform modern life. Yet it remains for us to determine whether this new world will be a utopia. Moreover, it is now incumbent upon the designers of these robots to draw a bright line between what is human and what is machine. After nearly forty years covering the tech industry, Markoff offers an unmatched perspective on the most drastic technology-driven societal shifts since the introduction of the Internet. Machines of Loving Grace draws on an extensive array of research and interviews to present an eye-opening history of one of the most pressing questions of our time, and urges us to remember that we still have the opportunity to design ourselves into the future—before it's too late.
  ai powered humanoid robots field questions from reporters: The Handbook of International Crisis Communication Research Andreas Schwarz, Matthew W. Seeger, Claudia Auer, 2016-04-18 The Handbook of International Crisis Communication Research articulates a broader understanding of crisis communication, discussing the theoretical, methodological, and practical implications of domestic and transnational crises, featuring the work of global scholars from a range of sub-disciplines and related fields. Provides the first integrative international perspective on crisis communication Articulates a broader understanding of crisis communication, which includes work from scholars in journalism, public relations, audience research, psychology, political science, sociology, economics, anthropology, and international communication Explores the topic from cross-national and cross-cultural crisis communication approaches Includes research and scholars from countries around the world and representing all regions Discusses a broad range of crisis types, such as war, terrorism, natural disasters, pandemia, and organizational crises
  ai powered humanoid robots field questions from reporters: Steering AI and advanced ICTs for knowledge societies Xianhong Hu, Neupane, Bhanu, Echaiz, Lucia Flores, Sibal, Prateek, Rivera Lam, Macarena, 2019-11-28
  ai powered humanoid robots field questions from reporters: Embodied Artificial Intelligence Fumiya Iida, Rolf Pfeifer, Luc Steels, Yasuo Kuniyoshi, 2004-07-08 Originating from a Dagstuhl seminar, the collection of papers presented in this book constitutes on the one hand a representative state-of-the-art survey of embodied artificial intelligence, and on the other hand the papers identify the important research trends and directions in the field. Following an introductory overview, the 23 papers are organized into topical sections on - philosophical and conceptual issues - information, dynamics, and morphology - principles of embodiment for real-world applications - developmental approaches - artificial evolution and self-reconfiguration
  ai powered humanoid robots field questions from reporters: Optimization in Machine Learning and Applications Anand J. Kulkarni, Suresh Chandra Satapathy, 2019-11-29 This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.
  ai powered humanoid robots field questions from reporters: Journalistic Authority Matt Carlson, 2017-05-23 When we encounter a news story, why do we accept its version of events? Why do we even recognize it as news? A complicated set of cultural, structural, and technological relationships inform this interaction, and Journalistic Authority provides a relational theory for explaining how journalists attain authority. The book argues that authority is not a thing to be possessed or lost, but a relationship arising in the connections between those laying claim to being an authority and those who assent to it. Matt Carlson examines the practices journalists use to legitimate their work: professional orientation, development of specific news forms, and the personal narratives they circulate to support a privileged social place. He then considers journalists' relationships with the audiences, sources, technologies, and critics that shape journalistic authority in the contemporary media environment. Carlson argues that journalistic authority is always the product of complex and variable relationships. Journalistic Authority weaves together journalists’ relationships with their audiences, sources, technologies, and critics to present a new model for understanding journalism while advocating for practices we need in an age of fake news and shifting norms.
  ai powered humanoid robots field questions from reporters: Collective Wisdom Katerina Cizek, William Uricchio, 2022-11-01 How to co-create—and why: the emergence of media co-creation as a concept and as a practice grounded in equity and justice. Co-creation is everywhere: It’s how the internet was built; it generated massive prehistoric rock carvings; it powered the development of vaccines for COVID-19 in record time. Co-creation offers alternatives to the idea of the solitary author privileged by top-down media. But co-creation is easy to miss, as individuals often take credit for—and profit from—collective forms of authorship, erasing whole cultures and narratives as they do so. Collective Wisdom offers the first guide to co-creation as a concept and as a practice, tracing co-creation in a media-making that ranges from collaborative journalism to human–AI partnerships. Why co-create—and why now? The many coauthors, drawing on a remarkable array of professional and personal experience, focus on the radical, sustained practices of co-creating media within communities and with social movements. They explore the urgent need for co-creation across disciplines and organization, and the latest methods for collaborating with nonhuman systems in biology and technology. The idea of “collective intelligence” is not new, and has been applied to such disparate phenomena as decision making by consensus and hived insects. Collective wisdom goes further. With conceptual explanation and practical examples, this book shows that co-creation only becomes wise when it is grounded in equity and justice. With Coauthors Juanita Anderson, Maria Agui Carter, Detroit Narrative Agency, Thomas Allen Harris, Maori Karmael Holmes, Richard Lachman, Louis Massiah, Cara Mertes, Sara Rafsky, Michèle Stephenson, Amelia Winger-Bearskin, and Sarah Wolozin
  ai powered humanoid robots field questions from reporters: Rights for Robots Joshua C. Gellers, 2020-10-26 Bringing a unique perspective to the burgeoning ethical and legal issues surrounding the presence of artificial intelligence in our daily lives, the book uses theory and practice on animal rights and the rights of nature to assess the status of robots. Through extensive philosophical and legal analyses, the book explores how rights can be applied to nonhuman entities. This task is completed by developing a framework useful for determining the kinds of personhood for which a nonhuman entity might be eligible, and a critical environmental ethic that extends moral and legal consideration to nonhumans. The framework and ethic are then applied to two hypothetical situations involving real-world technology—animal-like robot companions and humanoid sex robots. Additionally, the book approaches the subject from multiple perspectives, providing a comparative study of legal cases on animal rights and the rights of nature from around the world and insights from structured interviews with leading experts in the field of robotics. Ending with a call to rethink the concept of rights in the Anthropocene, suggestions for further research are made. An essential read for scholars and students interested in robot, animal and environmental law, as well as those interested in technology more generally, the book is a ground-breaking study of an increasingly relevant topic, as robots become ubiquitous in modern society. The Open Access version of this book, available at http://www.taylorfrancis.com/books/e/ISBN, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
  ai powered humanoid robots field questions from reporters: Oxford Handbook of Ethics of AI Markus D. Dubber, Frank Pasquale, Sunit Das, 2020-06-30 This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term A.I. is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether human or A.I.
  ai powered humanoid robots field questions from reporters: Automating the News Nicholas Diakopoulos, 2019-06-10 From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in which news is created by algorithm. Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories—increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human–algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.
  ai powered humanoid robots field questions from reporters: Artificial Intelligence in Journalism , 2023
  ai powered humanoid robots field questions from reporters: Rise of the Robots Martin Ford, 2015-05-05 The New York Times-bestselling guide to how automation is changing the economy, undermining work, and reshaping our lives Winner of Best Business Book of the Year awards from the Financial Times and from Forbes Lucid, comprehensive, and unafraid . . . ;an indispensable contribution to a long-running argument. -- Los Angeles Times What are the jobs of the future? How many will there be? And who will have them? As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making good jobs obsolete: many paralegals, journalists, office workers, and even computer programmers are poised to be replaced by robots and smart software. As progress continues, blue and white collar jobs alike will evaporate, squeezing working -- and middle-class families ever further. At the same time, households are under assault from exploding costs, especially from the two major industries-education and health care-that, so far, have not been transformed by information technology. The result could well be massive unemployment and inequality as well as the implosion of the consumer economy itself. The past solutions to technological disruption, especially more training and education, aren't going to work. We must decide, now, whether the future will see broad-based prosperity or catastrophic levels of inequality and economic insecurity. Rise of the Robots is essential reading to understand what accelerating technology means for our economic prospects-not to mention those of our children-as well as for society as a whole.
  ai powered humanoid robots field questions from reporters: An Introduction to Communication and Artificial Intelligence David J. Gunkel, 2020-01-07 Communication and artificial intelligence (AI) are closely related. It is communication – particularly interpersonal conversational interaction – that provides AI with its defining test case and experimental evidence. Likewise, recent developments in AI introduce new challenges and opportunities for communication studies. Technologies such as machine translation of human languages, spoken dialogue systems like Siri, algorithms capable of producing publishable journalistic content, and social robots are all designed to communicate with users in a human-like way. This timely and original textbook provides educators and students with a much-needed resource, connecting the dots between the science of AI and the discipline of communication studies. Clearly outlining the topic's scope, content and future, the text introduces key issues and debates, highlighting the importance and relevance of AI to communication studies. In lively and accessible prose, David Gunkel provides a new generation with the information, knowledge, and skills necessary to working and living in a world where social interaction is no longer restricted to humans. The first work of its kind, An Introduction to Communication and Artificial Intelligence is the go-to textbook for students and scholars getting to grips with this crucial interdisciplinary topic.
  ai powered humanoid robots field questions from reporters: The Promise of Artificial Intelligence Brian Cantwell Smith, 2019-10-08 An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.
  ai powered humanoid robots field questions from reporters: Web Analytics Avinash Kaushik, 2007-07-30 Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
  ai powered humanoid robots field questions from reporters: Artificial Intelligence, China, Russia, and the Global Order Shazeda Ahmed, 2019 Artificial intelligence (AI) and big data promise to help reshape the global order. For decades, most political observers believed that liberal democracy offered the only plausible future pathways for big, industrially sophisticated countries to make their citizens rich. Now, by allowing governments to monitor, understand, and control their citizens far more effectively than ever before, AI offers a plausible way for big, economically advanced countries to make their citizens rich while maintaining control over them--the first since the end of the Cold War. That may help fuel and shape renewed international competition between types of political regimes that are all becoming more digital. Just as competition between liberal democratic, fascist, and communist social systems defined much of the twentieth century, how may the struggle between digital liberal democracy and digital authoritarianism define and shape the twenty-first? This work highlights several key areas where AI-related technologies have clear implications for globally integrated strategic planning and requirements development--
  ai powered humanoid robots field questions from reporters: The New World of Transitioned Media Gali Einav, 2014-10-01 The media industry is undergoing an accelerated pace of change, driven in large part by the proliferation of digital platforms. In many cases, the speed of adoption has exceeded our ability to process the impact of these changes on individuals and society at large. This book provides a “behind-the-scenes” look at the media industry’s transition into the digital era and examines its impact on marketing, advertising, innovation and other economic and social activities. The impact of digital technologies on traditional media sectors, such as advertising, video games, film and television is well-documented. Less understood is its effect on our perceptions, thought processes and inter-personal relationships. Social media, for example, represents a fundamental change in the ways we interact with media, communicate with each other and even present ourselves to the world. This has shaped the way we communicate with institutions and brands. Similar to the first “Transitioned Media” book, Transitioned Media: A Turning Point into the Digital Realm, this book combines media industry leaders and academics to explore various transformative trends and issues. Themes include measuring cross-platform behaviour, artificial intelligence in journalism, the evolution of video games, digital media and physical space, the mobile use trends, social media and the corporate world, the changes in the television and newspaper business and the evolving relationship between advertisers and target audiences. The varied backgrounds of contributors and array of topics make for a unique and insightful point of view.
  ai powered humanoid robots field questions from reporters: AI Superpowers Kai-Fu Lee, 2018 AI Superpowers is Kai-Fu Lee's New York Times and USA Today bestseller about the American-Chinese competition over the future of artificial intelligence.
  ai powered humanoid robots field questions from reporters: Super Volcanoes: What They Reveal about Earth and the Worlds Beyond Robin George Andrews, 2021-11-02 An exhilarating, time-traveling journey to the solar system’s strangest and most awe-inspiring volcanoes. Volcanoes are capable of acts of pyrotechnical prowess verging on magic: they spout black magma more fluid than water, create shimmering cities of glass at the bottom of the ocean and frozen lakes of lava on the moon, and can even tip entire planets over. Between lava that melts and re-forms the landscape, and noxious volcanic gases that poison the atmosphere, volcanoes have threatened life on Earth countless times in our planet’s history. Yet despite their reputation for destruction, volcanoes are inseparable from the creation of our planet. A lively and utterly fascinating guide to these geologic wonders, Super Volcanoes revels in the incomparable power of volcanic eruptions past and present, Earthbound and otherwise—and recounts the daring and sometimes death-defying careers of the scientists who study them. Science journalist and volcanologist Robin George Andrews explores how these eruptions reveal secrets about the worlds to which they belong, describing the stunning ways in which volcanoes can sculpt the sea, land, and sky, and even influence the machinery that makes or breaks the existence of life. Walking us through the mechanics of some of the most infamous eruptions on Earth, Andrews outlines what we know about how volcanoes form, erupt, and evolve, as well as what scientists are still trying to puzzle out. How can we better predict when a deadly eruption will occur—and protect communities in the danger zone? Is Earth’s system of plate tectonics, unique in the solar system, the best way to forge a planet that supports life? And if life can survive and even thrive in Earth’s extreme volcanic environments—superhot, superacidic, and supersaline surroundings previously thought to be completely inhospitable—where else in the universe might we find it? Traveling from Hawai‘i, Yellowstone, Tanzania, and the ocean floor to the moon, Venus, and Mars, Andrews illuminates the cutting-edge discoveries and lingering scientific mysteries surrounding these phenomenal forces of nature.
  ai powered humanoid robots field questions from reporters: Robot Ethics Patrick Lin, Keith Abney, George A. Bekey, 2014-01-10 Prominent experts from science and the humanities explore issues in robot ethics that range from sex to war. Robots today serve in many roles, from entertainer to educator to executioner. As robotics technology advances, ethical concerns become more pressing: Should robots be programmed to follow a code of ethics, if this is even possible? Are there risks in forming emotional bonds with robots? How might society—and ethics—change with robotics? This volume is the first book to bring together prominent scholars and experts from both science and the humanities to explore these and other questions in this emerging field. Starting with an overview of the issues and relevant ethical theories, the topics flow naturally from the possibility of programming robot ethics to the ethical use of military robots in war to legal and policy questions, including liability and privacy concerns. The contributors then turn to human-robot emotional relationships, examining the ethical implications of robots as sexual partners, caregivers, and servants. Finally, they explore the possibility that robots, whether biological-computational hybrids or pure machines, should be given rights or moral consideration. Ethics is often slow to catch up with technological developments. This authoritative and accessible volume fills a gap in both scholarly literature and policy discussion, offering an impressive collection of expert analyses of the most crucial topics in this increasingly important field.
  ai powered humanoid robots field questions from reporters: The Big Nine Amy Webb, 2019-03-05 A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. We like to think that we are in control of the future of artificial intelligence. The reality, though, is that we -- the everyday people whose data powers AI -- aren't actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can't see and have no input into -- one largely free from regulation or oversight. The big nine corporations -- Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM and Apple--are the new gods of AI and are short-changing our futures to reap immediate financial gain. In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI -- the people working on the system, their motivations, the technology itself -- is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity. Much more than a passionate, human-centered call-to-arms, this book delivers a strategy for changing course, and provides a path for liberating us from algorithmic decision-makers and powerful corporations.
  ai powered humanoid robots field questions from reporters: Artificial Intelligence in Society OECD, 2019-06-11 The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
  ai powered humanoid robots field questions from reporters: The Second Self Sherry Turkle, 1984 In The Second Self, Sherry Turkle looks at the computer not as a tool, but as part of our social and psychological lives; she looks beyond how we use computer games and spreadsheets to explore how the computer affects our awareness of ourselves, of one another, and of our relationship with the world. Technology, she writes, catalyzes changes not only in what we do but in how we think. First published in 1984, The Second Self is still essential reading as a primer in the psychology of computation. This twentieth anniversary edition allows us to reconsider two decades of computer culture-to (re)experience what was and is most novel in our new media culture and to view our own contemporary relationship with technology with fresh eyes. Turkle frames this classic work with a new introduction, a new epilogue, and extensive notes added to the original text. Turkle talks to children, college students, engineers, AI scientists, hackers, and personal computer owners-people confronting machines that seem to think and at the same time suggest a new way for us to think-about human thought, emotion, memory, and understanding. Her interviews reveal that we experience computers as being on the border between inanimate and animate, as both an extension of the self and part of the external world. Their special place betwixt and between traditional categories is part of what makes them compelling and evocative. In the introduction to this edition, Turkle quotes a PDA user as saying, When my Palm crashed, it was like a death. I thought I had lost my mind. Why we think of the workings of a machine in psychological terms-how this happens, and what it means for all of us-is the ever more timely subject of The Second Self. Book jacket.
  ai powered humanoid robots field questions from reporters: The Reasonable Robot Ryan Abbott, 2020-06-25 Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.
  ai powered humanoid robots field questions from reporters: Mindful Journalism and News Ethics in the Digital Era Shelton A. Gunaratne, Mark Pearson, Sugath Senarath, 2015-02-11 This book aims to be the first comprehensive exposition of mindful journalism—drawn from core Buddhist ethical principles—as a fresh approach to journalism ethics. It suggests that Buddhist mindfulness strategies can be applied purposively in journalism to add clarity, fairness and equity to news decision-making and to offer a moral compass to journalists facing ethical dilemmas in their work. It comes at a time when ethical values in the news media are in crisis from a range of technological, commercial and social factors, and when both Buddhism and mindfulness have gained considerable acceptance in Western societies. Further, it aims to set out foundational principles to assist journalists dealing with vulnerable sources and recovering from traumatic assignments.
  ai powered humanoid robots field questions from reporters: Hybrid Humans Harry Parker, 2022-02-17 *SHORTLISTED FOR THE 2022 BARBELLION PRIZE* As heard on BBC Radio 4 Book of the Week As seen on Sky Arts Book Club with Elizabeth Day and Andi Oliver An eye-opening account of disability, identity, and how robotics and AI are altering our understanding of what it means to be human - from the bestselling author of Anatomy of a Soldier Harry Parker's life changed overnight, when he lost his legs to an IED in Afghanistan. That took him into an often surprising landscape of a very human kind of hacking, and he wondered, are all humans becoming hybrids? Parker introduces us to the exhilarating breadth of human invention - and intervention. Grappling with his own new identity and disability, he discovers the latest robotics, tech and implants that might lead us to powerful, liberating possibilities for what a body can be. 'I loved Hybrid Humans. A way of looking at the future without nostalgia for the past' - Jeanette Winterson
  ai powered humanoid robots field questions from reporters: Autonorama Peter Norton, 2021-10-21 In Autonorama: The Illusory Promise of High-Tech Driving, historian Peter Norton argues that driverless cars cannot be the safe, sustainable, and inclusive mobility solutions that tech companies and automakers are promising us. The salesmanship behind the driverless future is distracting us from better ways to get around that we can implement now. Unlike autonomous vehicles, these alternatives are inexpensive, safe, sustainable, and inclusive. Norton takes the reader on an engaging ride--from the GM Futurama exhibit to smart highways and vehicles--to show how we are once again being sold car dependency in the guise of mobility. Autonorama is hopeful, advocating for wise, proven, humane mobility that we can invest in now, without waiting for technology that is forever just out of reach.
  ai powered humanoid robots field questions from reporters: Social Media and Democracy Nathaniel Persily, Joshua A. Tucker, Joshua Aaron Tucker, 2020-09-03 A state-of-the-art account of what we know and do not know about the effects of digital technology on democracy.
  ai powered humanoid robots field questions from reporters: The Emerging Risk of Virtual Societal Warfare Michael J. Mazarr, Ryan Michael Bauer, Abigail Casey, 2019 The evolution of advanced information environments is rapidly creating a new category of possible cyberaggression, which RAND researchers are calling virtual societal warfare in an analysis of the characteristics and future of this growing threat.
  ai powered humanoid robots field questions from reporters: Robot Rights David J. Gunkel, 2018-11-13 A provocative attempt to think about what was previously considered unthinkable: a serious philosophical case for the rights of robots. We are in the midst of a robot invasion, as devices of different configurations and capabilities slowly but surely come to take up increasingly important positions in everyday social reality—self-driving vehicles, recommendation algorithms, machine learning decision making systems, and social robots of various forms and functions. Although considerable attention has already been devoted to the subject of robots and responsibility, the question concerning the social status of these artifacts has been largely overlooked. In this book, David Gunkel offers a provocative attempt to think about what has been previously regarded as unthinkable: whether and to what extent robots and other technological artifacts of our own making can and should have any claim to moral and legal standing. In his analysis, Gunkel invokes the philosophical distinction (developed by David Hume) between “is” and “ought” in order to evaluate and analyze the different arguments regarding the question of robot rights. In the course of his examination, Gunkel finds that none of the existing positions or proposals hold up under scrutiny. In response to this, he then offers an innovative alternative proposal that effectively flips the script on the is/ought problem by introducing another, altogether different way to conceptualize the social situation of robots and the opportunities and challenges they present to existing moral and legal systems.
  ai powered humanoid robots field questions from reporters: Threatcasting Brian David Johnson, Cyndi Coon, Natalie Vanatta, 2022-06-01 Impending technological advances will widen an adversary’s attack plane over the next decade. Visualizing what the future will hold, and what new threat vectors could emerge, is a task that traditional planning mechanisms struggle to accomplish given the wide range of potential issues. Understanding and preparing for the future operating environment is the basis of an analytical method known as Threatcasting. It is a method that gives researchers a structured way to envision and plan for risks ten years in the future. Threatcasting uses input from social science, technical research, cultural history, economics, trends, expert interviews, and even a little science fiction to recognize future threats and design potential futures. During this human-centric process, participants brainstorm what actions can be taken to identify, track, disrupt, mitigate, and recover from the possible threats. Specifically, groups explore how to transform the future they desire into reality while avoiding an undesired future. The Threatcasting method also exposes what events could happen that indicate the progression toward an increasingly possible threat landscape. This book begins with an overview of the Threatcasting method with examples and case studies to enhance the academic foundation. Along with end-of-chapter exercises to enhance the reader’s understanding of the concepts, there is also a full project where the reader can conduct a mock Threatcasting on the topic of “the next biological public health crisis.” The second half of the book is designed as a practitioner’s handbook. It has three separate chapters (based on the general size of the Threatcasting group) that walk the reader through how to apply the knowledge from Part I to conduct an actual Threatcasting activity. This book will be useful for a wide audience (from student to practitioner) and will hopefully promote new dialogues across communities and novel developments in the area.
  ai powered humanoid robots field questions from reporters: Futureproof Kevin Roose, 2021-03-04 A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.
  ai powered humanoid robots field questions from reporters: Cosmos Latinos Andrea L. Bell, Yolanda Molina-Gavilán, 2003-07-31 The first-ever collection of Latin American science fiction in English.
  ai powered humanoid robots field questions from reporters: Spurious Correlations Tyler Vigen, 2015-05-12 Spurious Correlations ... is the most fun you'll ever have with graphs. -- Bustle Military intelligence analyst and Harvard Law student Tyler Vigen illustrates the golden rule that correlation does not equal causation through hilarious graphs inspired by his viral website. Is there a correlation between Nic Cage films and swimming pool accidents? What about beef consumption and people getting struck by lightning? Absolutely not. But that hasn't stopped millions of people from going to tylervigen.com and asking, Wait, what? Vigen has designed software that scours enormous data sets to find unlikely statistical correlations. He began pulling the funniest ones for his website and has since gained millions of views, hundreds of thousands of likes, and tons of media coverage. Subversive and clever, Spurious Correlations is geek humor at its finest, nailing our obsession with data and conspiracy theory.
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