Machine Learning Regulations
/ˈməˌʃin ˈlərnɪŋ ˌrɛgjəˈleɪʃənz/
Definitions
- (n.) Legal frameworks and rules governing the development, deployment, and use of machine learning technologies to ensure compliance, safety, transparency, and fairness.
Machine learning regulations require companies to conduct impact assessments before deploying predictive algorithms.
Forms
- machine learning regulations
Related terms
See also
Commentary
Drafting machine learning regulations often involves balancing innovation with risk mitigation and requires clear standards on transparency and accountability.
This glossary is for general informational and educational purposes only. Definitions are jurisdiction-agnostic but reflect terminology and concepts primarily drawn from English and American legal traditions. Nothing herein constitutes legal advice or creates a lawyer-client relationship. Users should consult qualified counsel for advice on specific matters or jurisdictions.