Description

Book Synopsis
Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide?Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI,

Trade Review
Drawing on interviews with researchers pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just, Can We Trust AI? responds with a qualified affirmative.
Inside Higher Ed
In Can We Trust AI?, Chellappa explores both the promise and peril of AI. For readers searching for an understanding how AI came to be...Chellappa situates AI in an historical context that is thorough, and thoroughly fascinating. Most refreshing is his current assessment of AI that dispels the hype of AI's world takeover....Chellappa gracefully moves among AI's past, present, and future.
Technical Communication

Table of Contents

Preface
Chapter 1. The Birth and Growth of AI
Chapter 2. Saving Lives with Artificial Intelligence
Chapter 3. The Complexities and Contributions of Facial Recognition
Chapter 4. The Promise of Autonomous Vehicles
Chapter 5. AI's Futurescape
Acknowledgments
Glossary
Notes
Index

Can We Trust AI

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Order before 4pm tomorrow for delivery by Mon 19 Jan 2026.

A Paperback / softback by Rama Chellappa, Eric Niiler

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    View other formats and editions of Can We Trust AI by Rama Chellappa

    Publisher: Johns Hopkins University Press
    Publication Date: 10/01/2023
    ISBN13: 9781421445304, 978-1421445304
    ISBN10: 1421445301

    Description

    Book Synopsis
    Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide?Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI,

    Trade Review
    Drawing on interviews with researchers pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just, Can We Trust AI? responds with a qualified affirmative.
    Inside Higher Ed
    In Can We Trust AI?, Chellappa explores both the promise and peril of AI. For readers searching for an understanding how AI came to be...Chellappa situates AI in an historical context that is thorough, and thoroughly fascinating. Most refreshing is his current assessment of AI that dispels the hype of AI's world takeover....Chellappa gracefully moves among AI's past, present, and future.
    Technical Communication

    Table of Contents

    Preface
    Chapter 1. The Birth and Growth of AI
    Chapter 2. Saving Lives with Artificial Intelligence
    Chapter 3. The Complexities and Contributions of Facial Recognition
    Chapter 4. The Promise of Autonomous Vehicles
    Chapter 5. AI's Futurescape
    Acknowledgments
    Glossary
    Notes
    Index

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