
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Author Daniel Bashir's AI Literacy is a book about AI at its best and worst: AI systems can and will do incredible things but why we need to be careful as we develop and use them. The book focuses on AI literacy, the simple act of understanding the abilities and limitations of AI systems.
Through his experiences in academia and the tech industry, Bashir has been exposed to and called to question the ethical and societal impacts of AI. Ultimately, he has come to the conclusion that the best way to explore these issues is through conversation involving those most impacted. AI Literacy, focuses on providing and expanding on the basic understanding of AI in the present so that it can guide the future to improve life for all.
You'll learn about current uses of AI and some of the ethical and societal quagmires those uses engender including:
- How the field of AI started.
- Where the field of AI currently stands.
- The advancements in AI to come.
AI Literacy is directed towards the general public, technologists, and policymakers, in the the hopes of sparking innovative conversation.
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Information
Table of contents
- Introduction
- Chapter 1 History of Tech and Rights
- Chapter 2 Public Literacy and Rule of Law
- Chapter 3 Where are we, really?
- Chapter 4 AI in the Media
- Chapter 5 Feats of AI
- Chapter 6 Long-term AI Today
- Chapter 7 Techno-Optimism
- Chapter 8 Good Intentions don’t matter
- Chapter 9 Losing Face
- Chapter 10 Divided, Distracted
- Chapter 11 Pixels and Skin
- Chapter 12 Scholars in Disarray
- Chapter 13 How Does it Work
- Chapter 14 Rolling out AI
- Chapter 15 Cultural Shifts
- Chapter 16 AI Literacy for Students
- Chapter 17 AI Literacy for Technologists
- Chapter 18 AI Literacy for Policymakers
- Chapter 19 Case Studies in Algorithmic Governance
- Chapter 20 Case Studies in AI Governance
- Conclusion
- Acknowledgements
- Appendix