UNIT-1

AI Ethics:  is a set of moral principles which help us discern between right and wrong. AI ethics is a multidisciplinary field that studies how to optimise AI's beneficial impact while reducing risks and adverse outcomes. Examples of AI ethics issues include data responsibility and privacy, fairness, transparency, environmental sustainability, moral agency, value alignment, accountability, trust, and technology misuse. This means taking a safe, secure, humane, and environmentally friendly approach to AI. A strong AI code of ethics can include avoiding bias, ensuring privacy of users and their data, and mitigating environmental risks.