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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
Tools
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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

Who this book is for

This book is written for three segments of modern-day citizens:

  • Segment #1 comprises of individuals who seek a deeper understanding of AI and data, particularly regarding their impact on their everyday life. These individuals aspire to gain enough knowledge about AI and data to engage thoughtfully and respectfully with different perspectives and opinions, enabling them to independently evaluate the advantages and risks associated with AI and data.
  • Segment #2 encompasses individuals who are actively seeking to comprehend how AI and data can enhance both their personal lives and professional careers. With a focus on their careers, these individuals seek to understand future educational and personal development requirements. These folks are motivated to gain a better understanding of how AI and data applies directly to their lives, preparing them to grow and advance personally and professionally.
  • Segment #3 consists of individuals who are actively seeking to engage in the definition and oversight of rules and regulations governing the ethical, responsible, and meaningful design and deployment of AI. These individuals are driven by a desire to ensure that all voices and perspectives are considered, aiming to protect society from the careless and malevolent application of AI. Their goal is to create a safe and inclusive environment, where the potential risks and adverse impacts of AI are mitigated while maximizing its benefits for everyone.

While the book delves into some technical aspects, its goal is to explain these topics in a pragmatic manner. The book seeks to help everyone understand key technologies and concepts so they can participate in the discussions about the future applications and potential ramifications of these technologies and concepts. The book offers different ways of engaging with the content, so that anyone who wants to become a Citizen of Data Science can find a suitable and confident way of participating.

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