How AI can positively impact so many aspects of our daily lives, from health and wellness to work, education, and home life. Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In
Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life. In the process the authors help explain the underlying technology and give people the agency they need to shape the debate around how we should regulate AI to maximize its benefits and minimize its risks.
Bringing over two decades of experience with cutting-edge research, consulting, executive coaching, and advising to bear on the subject, Bapna and Ghose demystify the technology of AI itself. They offer a novel "House of AI" framework that encompasses traditional analytics, generative AI, and fair and ethical deployment of AI. Using examples from everyday life, they showcase how the modern AI-powered ecosystem fundamentally improves the emotional, physical, and material well-being of regular people across the globe.
Thrive's mission is to educate the public about AI, shape realistic expectations, and foster informed discussions about a fast-emerging AI-shaped society.
Author: Ravi Bapna, Anindya Ghose
Binding Type: Hardcover
Publisher: MIT Press
Published: 10/08/2024
Pages: 208
Weight: 0.88lbs
Size: 9.10h x 6.00w x 0.90d
ISBN: 9780262049313
About the AuthorAnindya Ghose is an award-winning professor of business at NYU Stern and a globally renowned expert in digital transformation and applications of AI in companies. He is also the author of the bestselling book
TAP: Unlocking the Mobile Economy.
Ravi Bapna founded the Analytics for Good Institute at the University of Minnesota and is the Inaugural INFORMS ISS Practical Impacts Award winner for his work in analytics and digital transformation.