AI Ethics and Responsible Deployment
AI Ethics and Responsible Deployment As AI tools spread across products and workplaces, ethics is not a separate plan. It is a core part of design, testing, and monitoring. Teams should ask who is affected, what could go wrong, and how to prevent it. Responsible deployment means building guardrails before releasing features to users. Fairness and bias: Even well-intentioned models can reflect or amplify unfair patterns. Run representative tests, use diverse data, and monitor for disparate impact. Privacy: collect only what is needed, minimize data retention, and honor user consent. Transparency: explain, at a high level, how the system makes decisions, and provide a way to review or appeal. ...