The European AI Act: a data scientist’s perspective
summary
EU Council approves AI Act (Dec 2023) and high‑risk systems must pass a technical conformity assessment with fines of €7.5–35M or 1.5–7% turnover. Data scientists must document train/validation/test splits, justify model design and expose failure modes; example uses a Lending Club binary model (CatBoost) checked with Deepchecks + CatBoost, showing decent precision but low recall and a major failure on 60‑month loans and low‑income segments. Prohibited uses are banned in 6 months and broad high‑risk compliance timelines run to 3 years.
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chapters (16)
- 0:00Introduction to AI Act
- 3:18AI system definitions
- 8:13Risk pyramid and categories
- 14:35Data scientist role in compliance
- 17:47Model validation with DeepChecks
- 22:21Regulation impact on AI progress
- 24:51Timeline and enforcement
- 25:13Q&A on fines and compliance
- 26:17Self-assessment for high-risk systems
- 27:00AI Act and HR screening models
- 28:06Transparency risks for LLMs
- 29:10DeepChecks and fairness analysis
- 31:14DeepChecks for deep learning
- 31:36Regulation as opportunity
- 32:38Regulatory sandboxes and synthetic data
- 33:38Contact and closing
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