Trust in AI Systems
The discussion highlights the challenges of building reliable AI systems that can operate in diverse environments, particularly regarding their accuracy across different demographics. It emphasizes the need for confidence scores that reflect the system's reliability, especially when dealing with underrepresented groups. The importance of calibrating these scores to the specific data used is also underscored, as many existing systems fail to provide meaningful confidence metrics.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
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