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AI & Data Literacy

You're reading from   AI & Data Literacy Empowering Citizens of Data Science

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Product type Paperback
Published in Jul 2023
Publisher
ISBN-13 9781835083505
Length 238 pages
Edition 1st Edition
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Author (1):
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Bill Schmarzo Bill Schmarzo
Author Profile Icon Bill Schmarzo
Bill Schmarzo
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Table of Contents (14) Chapters Close

Preface 1. Why AI and Data Literacy? FREE CHAPTER 2. Data and Privacy Awareness 3. Analytics Literacy 4. Understanding How AI Works 5. Making Informed Decisions 6. Prediction and Statistics 7. Value Engineering Competency 8. Ethics of AI Adoption 9. Cultural Empowerment 10. ChatGPT Changes Everything 11. Glossary 12. Other Books You May Enjoy
13. Index

Understanding ethics

Ethics are the moral principles governing a person’s behavior or actions, the principles of right and wrong generally accepted by an individual or a social group. Or as my mom used to say, “Ethics is what you do when no one is watching.”AI ethics, on the other hand, is a field of study that focuses on AI's ethical development, application, and management. AI ethics involves identifying and exploring the potential unintended consequences of AI and considering how AI can be used fairly and responsibly to benefit society.

Proactive vs. passive ethics

An essential characteristic of ethics is that ethics is proactive, not passive. Ethics is proactive in compelling appropriate actions considering society's moral standards versus just abdicating appropriate actions to someone else. And if you don’t know the difference between passive and active ethics, then it’s time for a bible lesson refresher – The Parable of the Good...

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