Risk Management in AI

Risk management in AI involves identifying, assessing, and mitigating potential risks associated with artificial intelligence systems. This includes evaluating how AI decisions might impact individuals and society, such as issues of bias, privacy, security, and accountability. It also means creating guidelines and policies to ensure that AI technologies are developed and used responsibly. By addressing these risks early, organizations can prevent harmful outcomes and build trust in AI systems, ensuring they benefit users while minimizing negative consequences. Overall, effective risk management fosters safe and ethical AI practices.