On Adversarial Training & Robustness with Bhavna Gopal
Thinking Machines: AI & Philosophy
AI Trust and Self-Driving Cars
This chapter discusses the intricate relationship between model size, performance, and the need for interpretability in AI systems, with a focus on public skepticism toward AI's autonomous decisions. It critically examines self-driving cars' performance, safety statistics, and the complexities of driving, ultimately exploring the trade-offs between safety and efficiency in this technology.
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