hyper-LINC #09 : design de l'attention, pouvoir d'agir et neutralité des algorithmes

FPF and Immuta released the first-ever framework for practitioners to manage risk in artificial intelligence and machine learning models. The joint whitepaper, Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models, provides business executives, data scientists, and compliance professionals with a strategic guide for governing the legal, privacy, and ethical risks associated with this technology. Lately a lot of thought, work and advocacy has been going into looking at personal data as a fungible commodity: one that can be made scarce and bought, sold, traded and so on. Good though this might be, it also steers attention away from a far more important issue it would be best to solve first: personal agency. The U.S. has generally approached privacy rules on a sector-by-sector basis, meaning the health care industry has different privacy standards than the financial industry.