AI Gardening: Harvesting and Pruning the AI Tree
summary
Founded Bosch Center for AI in 2017, advocates hybrid modeling that combines physical process knowledge with ML and uses anomaly detection for wafer production to speed approval and optimize scheduling, leveraging optical inspection and large-scale process data; builds a rapid COVID spot-check product by reusing pattern-detection expertise for images and sequences; proposes an energy-label-style five-dimension trust score (privacy, transparency, robustness, accountability, fairness) and maps it to standards work aiming for Article 40 compatibility with the EU AI Act.
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chapters (9)
- 0:00Introduction
- 0:22AI gardening metaphor
- 1:28Bosch Center for AI hybrid modeling
- 3:13Industrial AI in wafer fabrication
- 5:59Scalable AI processes
- 8:07Pruning AI ethics
- 10:44Digital trust framework
- 13:11AI regulation and trust
- 14:15Call to action
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