3.1 · Should You Even Deploy AI?
Watch: When AI Goes Wrong
⏱ 8 minCourse 03
Cathy O'Neil is a mathematician and the author of *Weapons of Math Destruction* — one of the most important books written on algorithmic accountability. In this talk, she makes the case that big data has a blind spot problem: the models we trust most are often the least transparent, and the least accountable.
As You Watch, Consider
O'Neil argues that algorithms are "opinions embedded in mathematics." Think about the AI systems your organisation uses or plans to use. Whose opinions shaped those models? What assumptions are baked in? How would you know if they were wrong?
