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  • Book
    Kaplan, Jerry.
    Summary: Generative Artificial Intelligence: What Everyone Needs to Know ? equips readers with the knowledge to answer pressing questions about the impact of generative artificial intelligence on every facet of society.

    Contents:
    Cover
    Generative Artificial Intelligence
    Copyright
    Dedication
    Contents
    Acknowledgments
    Introduction
    1 The History of Artificial Intelligence
    What is Artificial Intelligence?
    Where did the term "Artificial Intelligence" originate?
    What were the Dartmouth conference participants hoping to accomplish?
    How did early AI researchers approach the problem?
    What is the "physical symbol system hypothesis"?
    What is Machine Learning?
    How did Machine Learning arise?
    What are some notable historical milestones in AI?
    2 Generative Artificial Intelligence (GAI) What are Large Language Models (LLMs)?
    How do Large Language Models work?
    What are "embeddings"?
    How do word embeddings represent meaning?
    What are Artificial Neural Networks?
    What is a Transformer?
    How do Transformers use word embeddings to express complex ideas?
    What are "tokens"?
    How are LLMs applied to non-​linguistic problems?
    What are "emergent properties" and do LLMs exhibit them?
    What is "jailbreaking" and why is it a difficult problem?
    What is "hallucination" and why do LLMs have them?
    What other techniques are used for GAI? How will future GAIs communicate with each other?
    What are some potential future proficiencies of GAIs?
    3 Likely Impact
    What historical precedents are benchmarks for the impact of GAI?
    How will GAI change healthcare?
    How will GAI change the legal system?
    How will GAI change education?
    How will GAI change software engineering?
    How will GAI change creative arts and industries?
    4 Future of Work
    Will GAI increase unemployment?
    How does automation affect labor markets?
    Which jobs are likely to fade away?
    Which jobs will not be affected? Which jobs will thrive and grow?
    What new industries and professions are likely to arise?
    What is "technological unemployment"?
    5 Risks and Dangers
    How will GAI be used to promote disinformation and propaganda?
    What is "algorithmic bias"?
    Will people turn from humans to machines for emotional support?
    How will GAIs impact the way we communicate?
    What is the "alignment problem"?
    Are "killer robots" just around the corner?
    Should we be concerned about "superintelligence" and the "singularity"?
    6 The Legal Status of GAIs Can a computer program enter into agreements and contracts?
    Should people bear full responsibility for their intelligent agents' actions?
    Should a GAI be granted legal rights, such as to own property?
    Can a GAI commit a crime?
    How can a GAI be held accountable for criminal acts?
    Why can't we just program GAIs to obey the law and other rules?
    7 Regulation, Public Policy, Global Competition
    Are GAIs protected by free-​speech laws?
    Can the output of a GAI be copyrighted?
    What regulatory schemes are being considered? What new laws and regulations are appropriate for GAIs?
    8 Philosophical Issues and Implications
    What is philosophy of Artificial Intelligence?
    Can a computer think?
    Can a computer be creative?
    Can a computer have free will?
    Can a computer be conscious?
    Can a computer feel?
    9 Outroduction
    Notes
    Index
    Print Access Request
    Location
    Version
    Call Number
    Items
    Books: General Collection (Downstairs)
    2024
    Q334.7 K37 2024
    1