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AI & Data Literacy

AI & Data Literacy

By : Bill Schmarzo
4.8 (25)
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AI & Data Literacy

AI & Data Literacy

4.8 (25)
By: Bill Schmarzo

Overview of this book

AI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.
Table of Contents (14 chapters)
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12
Other Books You May Enjoy
13
Index

Preface

Notice the cover of this book. Simple. Straightforward. No hyperbole about the extinction of humankind. No outrageous claims about massive human unemployment. Just a simple cover with a simple title to reflect the simple concept of Artificial Intelligence (AI).

Here is the simple truth about AI: AI will do exactly what you train it to do. Yes, AI can continuously learn and adapt with minimal human intervention, which scares people. However, the actions AI takes will be guided 100% by the user-defined outcomes and the measures against which outcome effectiveness will be measured. And all of these are 100% defined by you.

To design, develop, and manage AI effectively, adopting a holistic approach is paramount, and it calls for the active participation of everyone. The objective of this book is to simplify the discussion around AI and equip everyone with the knowledge to ensure AI is working for our benefit. By empowering everyone as Citizens of Data Science and fostering fundamental AI and data literacy, we can encourage active engagement that ensures AI’s benefits are accessible to all.

I hope you enjoy reading and learning from the book as much as I did researching, testing, learning, relearning, and writing it. I hope you enjoy your AI and data literacy journey of becoming a Citizen of Data Science!

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