Generative Artificial Intelligence : What Everyone Needs to Know® / Jerry Kaplan

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.

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.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.