Generative Artificial Intelligence What Everyone Needs to Know What Everyone Needs To KnowRG 1st Edition by Jerry Kaplan 9780197773543 0197773532

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ISBN 10: 0197773532
ISBN 13: 9780197773543 
Author: Jerry Kaplan

“AI expert Jerry Kaplan explains how generative AI will revolutionize virtually every human activity. Highly recommended.” – Francis Fukuyama, Political scientist and author of The End of History and the Last Man Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers. Have we finally discovered the holy grail of AI – machines that match or exceed human intelligence? Which industries and professions will thrive, and which will wither? What risks and dangers will it pose? How can we ensure that these systems respect our ethical principles? Will the benefits be broadly distributed or accrue to a lucky few? How will GAI alter our political systems and international conflicts? Are we merely a stepping stone to a new form of non-biological life, or are we just getting better at building useful gadgets? Generative Artificial Intelligence: What Everyone Needs to Know ? equips readers with the knowledge to answer these pressing questions.

Generative Artificial Intelligence What Everyone Needs to Know What Everyone Needs To KnowRG 1st Table of contents:

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

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