Why we can't fix bias with more AI w/ Patrick Lin

Technology is supposed to make our lives better - but who gets to decide how that improvement unfolds, and what values it upholds? Tech ethicist Patrick Lin and Bilawal dig into the hidden -- and not so hidden -- biases in AI. From historically inaccurate images to life-and-death decisions in hospitals, human biases reveal how AI mirrors our own flaws…But can we fix bias? Lin argues that technology alone won't suffice...
00:00 The Google Gemini fiasco
02:41 Bias in training data
04:40 Patrick Lin, tech ethicist, on why AI ethics is such a complex topic
07:20 The real life stakes of bias in AI
11:51 Can we fix implicit bias in AI systems?
15:33 A better definition of bias
17:30 The role of ethics and philosophy in AI research
18:10 Technology can't solve all problems
19:22 Possible solutions to AI bias
23:31 Making AI culture-specific
27:00 Why we're fixing AI problems as they arise
27:32 What can individuals do to address bias in AI
28:40 Bilawal's own reflections on bias in AI
33:27 End credits