Looking Outside cover image

Looking Outside

Looking Outside AI: Usama Fayyad, Data & AI expert, Institute for Experiential AI

Jan 2, 2024
Data & AI expert Usama Fayyad discusses the risks of relying on AI outputs solely, highlighting the importance of scrutinizing data sets. He emphasizes the need for human intervention in critical thinking tasks, as AI may not always provide accurate or complete information. The conversation explores the challenges of training generative AI models, addressing issues like bias and unpredictability. The podcast stresses the significance of diverse perspectives in understanding the complexities and implications of AI technology.
34:52

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Data sets are the key to AI advancement, not just algorithms.
  • User responsibility in critical thinking is essential to prevent AI errors.

Deep dives

AI and the Hype Cycle

AI has experienced three peaks of hype before, followed by AI winters. Machine learning has survived these winters due to its dependence on data sets. The growth in available data sets has fueled the current hype around AI. However, AI's progress is not solely due to advances in algorithms, but rather the abundance of data. Data-driven empirical AI has been successful in applications, although it lacks insight into human intelligence.

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