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Kartik Hosanagar

Professor of technology at The Wharton School, University of Pennsylvania, whose expertise lies in AI and its impact on decision-making.

Top 3 podcasts with Kartik Hosanagar

Ranked by the Snipd community
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6 snips
Jan 29, 2025 • 55min

506. From Human Logic to Machine Intelligence: Rethinking Decision-Making with Kartik Hosanagar

Kartik Hosanagar, a Professor of Technology at The Wharton School, discusses the impact of AI on decision-making. He explores the similarities between human algorithmic thinking and machine intelligence, emphasizing the need for AI literacy. Hosanagar highlights the importance of trust and transparency in AI systems, particularly in fields like healthcare. He also delves into the evolving roles of CTOs and CIOs, and the intersection of AI with creativity, advocating for a balance between human expression and algorithmic influence.
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6 snips
Jan 27, 2025 • 19min

Detecting Bias in AI Image Generators

Kartik Hosanagar, a Wharton marketing professor, teams up with doctoral candidate Pushkar Shukla to reveal their groundbreaking tool aimed at detecting and correcting biases in AI image generators. They delve into how societal stereotypes influence AI outputs, often reinforcing harmful biases in representation. The duo discusses the urgent need for tools that address not only gender and race but also body type and socioeconomic status. Their innovative approach promises to enhance fairness and diversify AI-generated content, with a public release on the horizon.
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Sep 24, 2024 • 30min

AI and Innovation

Kartik Hosanagar, a Wharton professor and co-director of AI at Wharton, discusses the transformative power of AI in various sectors. He highlights how AI can foster innovation, particularly in sustainable development through human-AI collaboration. Hosanagar delves into the role of generative AI in patent analysis and its potential to simplify complex data relationships for better decision-making. He also compares the effectiveness of AI chatbots like ChatGPT to traditional search engines, revealing insights into user efficiency and satisfaction.