Is It All About the Data?
summary
Argues that data is a tool not the goal, claiming better outcomes come from improving decision skills and assumptions rather than hoarding datasets; warns confirmation bias skews interpretation and gives the photo/backlight and chess anecdotes as concrete prompts. Presents three human choices that define any AI system—objective, data provenance and schema, examples used—and says computers don’t decide on their own. Recommends starting with what would it take to change your mind and testing with clear launch criteria.
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chapters (9)
- 0:00Introduction
- 1:09Decision science importance
- 3:58Is data the answer?
- 6:44Why data isn’t enough
- 9:55Bias and incomplete data
- 13:07Decisions with incomplete info
- 15:53Role of intuition
- 18:18Should computers make decisions on their own?
- 20:45Human responsibility in AI
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