Explore the critical issue of trusting AI in this thought-provoking TEDx talk by Dr. Aaron Hunter, an AI scientist and the Mastercard Chair in Digital Trust at BCIT. Learn about three key questions to assess AI reliability: verifying information truthfulness, evaluating subject matter expertise, and understanding AI goals. Examine real-world examples of AI-generated misinformation and biases in facial recognition to grasp the complexities of AI trust. Discover the importance of transparency in AI training and biases, and gain valuable insights into how trust will play a crucial role in our AI-driven future. Delve into the challenges of defining trust and the often irrational choices made in current trust relationships. This 18-minute talk offers a comprehensive exploration of AI trust issues, essential for anyone interested in the ethical implications and future of artificial intelligence.
Overview
Syllabus
In AI We Trust. But Should We? | Aaron Hunter | TEDxAbbotsford
Taught by
TEDx