Humans may not be Earth's most intelligent beings for much longer: the world champions of chess, Go, and Jeopardy! are now all AIs. Given the rapid pace of progress in AI, many predict that it could advance to human-level intelligence within the next several decades. From there, it could quickly outpace human intelligence. What do these developments mean for the future of the mind? For Schneider it is inevitable that AI will take intelligence in new directions, but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness. Schneider argues that an insufficient grasp of the nature of these entities could undermine the use of AI and brain enhancement technology, bringing about the demise or suffering of conscious beings. To flourish, we must grasp the philosophical issues lying beneath the algorithms. At the heart of her exploration is a sober-minded discussion of what AI can truly achieve: Can robots really be conscious? Can we merge with AI, as tech leaders like Elon Musk and Ray Kurzweil suggest? Is the mind just a program? Examining these issues, Schneider proposes ways we can test for machine consciousness, questions whether consciousness is an unavoidable byproduct of sophisticated intelligence, and considers the overall dangers of creating machine minds.

The language of thought (LOT) approach to the nature of mind has been highly influential in cognitive science and the philosophy of mind; and yet, as Susan Schneider argues, its philosophical foundations are weak. In this philosophical refashioning of LOT and the related computational theory of mind (CTM), Schneider offers a different framework than has been developed by LOT and CTM's main architect, Jerry Fodor: one that seeks integration with neuroscience, repudiates Fodor's pessimism about the capacity of cognitive science to explain cognition, embraces pragmatism, and advances a different approach to the nature of concepts, mental symbols, and modes of presentation. According to the LOT approach, conceptual thought is determined by the manipulation of mental symbols according to algorithms. Schneider tackles three key problems that have plagued the LOT approach for decades: the computational nature of the central system (the system responsible for higher cognitive function); the nature of symbols; and Frege cases. To address these problems, Schneider develops a computational theory that is based on the Global Workspace approach; develops a theory of symbols, "the algorithmic view"; and brings her theory of symbols to bear on LOT's account of the causation of thought and behavior. In the course of solving these problems, Schneider shows that LOT must make peace with both computationalism and pragmatism; indeed, the new conception of symbols renders LOT a pragmatist theory. And LOT must turn its focus to cognitive and computational neuroscience for its naturalism to succeed.

This volume uses science fiction as a springboard to meaningful philosophical discussions, especially at points of contact between science fiction and new scientific developments. It raises questions and examines themes concerning the nature of the mind, time travel, artificial intelligence, neural enhancement, free will, the nature of persons, transhumanism, virtual reality, and neuroethics. Draws on a broad range of books, films and television series, including The Matrix, Star Trek, Blade Runner, Frankenstein, Brave New World, The Time Machine, and Back to the Future. Considers the classic philosophical puzzles that appeal to the general reader, while also exploring new topics of interest to the more seasoned academic.

This book offers a collection of readings that together represent the most thorough and comprehensive survey of the nature of consciousness available today. Features updates to scientific chapters reflecting the latest research in the field Includes 18 new theoretical, empirical, and methodological chapters covering integrated information theory, and renewed interest in panpsychism. Covers a wide array of topics that include the origins and extent of consciousness, various consciousness experiences such as meditation and drug-induced states, and the neuroscience of consciousness. Presents 54 peer-reviewed chapters written by leading experts in the study of consciousness, from across a variety of academic disciplines.