Compliance

Compliance in AI refers to the adherence to legal, regulatory, and ethical standards in the development and deployment of artificial intelligence systems. It encompasses a wide range of issues, including data privacy, algorithmic fairness, transparency, and accountability. Organizations must ensure their AI practices align with established guidelines to avoid legal repercussions and maintain public trust. Common use cases include ensuring compliance with GDPR for data handling, implementing fairness checks in machine learning models, and conducting audits of AI systems to assess their impact on society.