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A deep look into the multifaceted landscape of artificial intelligence, considering AI's ethical and societal implications and celebrating its diverse and innovative applications.In this edited collection Collaborative Intelligence, Mira Lane and Arathi Sethumadhavan embark on a captivating exploration of artificial intelligence. The book delves deeply into the dynamic interplay between theory and practice, shedding light on the transformative potential and complexities of AI. For practitioners deeply immersed in the world of AI, Lane and Sethumadhavan offer firsthand accounts and insights from technologists, academics, and thought leaders, as well as a series of compelling case studies, ranging from AI's impact on artistry to its role in addressing societal challenges like modern slavery and wildlife conservation. As the global AI market burgeons, this book enables collaboration, knowledge sharing, and interdisciplinary dialogue. It caters not only to the practitioners shaping the AI landscape but also to policymakers striving to navigate the intricate relationship between humans and machines, as well as academics. Divided into two parts, the first half of the book offers readers a comprehensive understanding of AI's historical context, its influence on power dynamics, human-AI interaction, and the critical role of audits in governing AI systems. The second half unfolds a series of eight case studies, unraveling AI's impact on fields as varied as healthcare, vehicular safety, conservation, human rights, and the metaverse. Each chapter in this book paints a vivid picture of AI's triumphs and challenges, providing a panoramic view of how it is reshaping our world.

Unlock the secrets to understanding yourself and others with the surprising science of the human mind's greatest power: introspection. “Are you sure?” Whether in a court room, a doctor's office, a gameshow's hot seat, or a student's desk, we are always trying to answer that question. Should we accept eyewitness testimony or a physician's diagnosis? Do we really want to risk it all on a final question? And what should we be studying in order to do as well as possible on a test? In short, how do we know what we and others know—or as importantly, don't know? As cognitive neuroscientist Stephen Fleming shows in Know Thyself, we do this with metacognition. Metacognition, or thinking about thinking, is the most important tool we have for understanding our own mind. Metacognition is an awesome power: It is what enables self-awareness as well as what lets us think about the minds of others. It is the ultimate human trait, and in its most rarefied forms is a power that neither other animals, nor our current artificial intelligences, have. Metacognition teaches us the limits of our own knowledge. Once we understand what it is and how it works, we can improve our performance and make better decisions. For example, on the SAT, it helps us gauge when we should skip a question rather than lose points getting an answer wrong. Know Thyself, like the metacognition itself, is equal parts scientific, philosophical, and practical. And that means, like Thinking, Fast and Slow and Predictably Irrational, it's that rarest of books: one that can both expand our minds and change our lives.

This book discusses the principles, methodologies, and challenges of robotic musicianship through an in-depth review of the work conducted at the Georgia Tech Center for Music Technology (GTCMT), where the concept was first developed. Robotic musicianship is a relatively new research field that focuses on the design and development of intelligent music-making machines. The motivation behind the field is to develop robots that not only generate music, but also collaborate with humans by listening and responding in an expressive and creative manner. This combination of human and machine creativity has the potential to surprise and inspire us to play, listen, compose, and think about music in new ways. The book provides an in-depth view of the robotic platforms designed at the GTCMT Robotic Musicianship Group, including the improvisational robotic percussionists Haile and Shimon, the personal robotic companion Shimi, and a number of wearable robots, such as the Robotic Drumming Prosthesis, The Third Drumming Arm, and the Skywalker Piano Hand. The book discusses numerous research studies based on these platforms in the context of five main principles: Listen like a Human, Play Like a Machine, Be Social, Watch and Learn, and Wear It.