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8min chapter
Cracking the AI Code: ROI, Challenges, and Insights with Luke Arrigoni | Part 2
Making Data Simple
The Importance of Trust and Non-Bias in AI Models
In this chapter, they discuss the importance of trust and non-bias in AI models and the concerns around putting AI into production. They highlight the fear of brand reputation damage and the potential for providing bad information. They emphasize the need for cautiousness without completely discarding AI and suggest approaching problems with the right framing.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode