Fairness to prevent bias and discrimination, transparency to ensure accountability and comprehension of AI decisions, privacy protection to protect personal data, safety to...
Fairness to prevent bias and discrimination, transparency to ensure accountability and comprehension of AI decisions, privacy protection to protect personal data, safety to reduce risks and unintended consequences, and inclusivity to ensure diverse perspectives in design and usage are all ethical considerations for AI development and deployment. Furthermore, in order to guarantee that AI helps society as a whole, building public trust and encouraging sustainability are essential.