Inquiring Minds

Thrive: Maximizing Well-Being in the Age of AI with Ravi Bapna

Oct 10, 2024

Ravi Bapna, co-author of 'Thrive: Maximizing Well-Being in the Age of AI' and chair of business analytics at the University of Minnesota, engages in a thought-provoking discussion about AI's societal impact. He highlights the need to balance AI's benefits and risks, delves into the importance of ethical data engineering, and explores job displacement versus retraining opportunities. Bapna also addresses how AI can enhance human connections in healthcare and other sectors, emphasizing the need for privacy and fair compensation in a rapidly evolving digital landscape.

42:25

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Ravi Bapna

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Quick takeaways

Understanding the various types of AI, including generative and traditional, is vital for leveraging their benefits effectively.

While AI may lead to job displacement, it also creates new opportunities for skilled roles through workforce retraining and enhancement.

Deep dives

Understanding AI's Complex Landscape

AI encompasses various types, and distinguishing between them is essential for appreciating its impact. The most hyped area is generative AI, accessible to many users, notably through tools like ChatGPT. However, traditional AI, which forms the foundation for many applications, is projected to deliver a majority of value in the near future. Understanding this landscape allows individuals and organizations to better leverage AI technologies effectively.

Intro

4min

The House of AI: Understanding and Responsibility

12min

Navigating the Threat of AI-Driven Financial Fraud

3min

Navigating Job Displacement and Retraining in the Age of AI

5min

AI and Human Connections

19min

Reflections on Well-Being and Creative Support

2min

Indre sits to chat with co-author of "Thrive: Maximizing Well-Being in the Age of AI" and chair of business analytics at the University of Minnesota, Ravi Bapna, to explore the complex relationship between artificial intelligence and society.

They talk about the potential benefits and risks of AI and how we need to be aware and balance both narratives, how we need to understand the various types of AI out there (descriptive, predictive, prescriptive, and generative), the importance of data engineering in today's data economy, and how to protect our personal data in the age of AI.

The conversation also covers topics such as job displacement, governance and ethical considerations, and AI's role in enhancing human interactions, especially in healthcare and customer services, and storytelling.

Listen in to learn the different techniques to thrive in this new technological era.

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Ravi Bapna’s Book: Thrive: Maximizing Well-Being in the Age of AI