How Much Should You Trust an AI's Answer? | Dr. Thomas Dietterich | AI Evaluation Open Seminar

Do you have any questions or points to add to the discussion? Any lightbulb moments? Share in the comments! --- Through the Open Seminar Series, we're opening select lectures from the AI Evaluation Programme to anyone in the wider community who wants to learn. These are the same sessions our students attend. What this lecture is about: When an AI model makes a prediction, how do we know whether to trust it? This lecture is all about measuring and understanding uncertainty — the idea that sometimes a model's answer might be wrong, and we'd like to know when that's most likely to happen. Taught by Dr. Tom Dietterich from Oregon State University and arXiv