D
Dalton
Guest
1. Accountability - AI should be designed and implemented with clear goals and objectives, and the development process should be traceable and accountable to the public.
2. Privacy - AI should be designed and implemented with the utmost respect for privacy. Personal data should be collected and used responsibly and securely.
3. Transparency - AI systems should be transparent about how they make decisions, which will help to build public trust in the technology.
4. Fairness - AI systems should be designed and implemented in a way that does not lead to outcomes that are discriminatory or unjust.
5. Safety - AI systems should be designed and implemented in a manner that ensures safety and does not harm users, the environment, or society.
2. Privacy - AI should be designed and implemented with the utmost respect for privacy. Personal data should be collected and used responsibly and securely.
3. Transparency - AI systems should be transparent about how they make decisions, which will help to build public trust in the technology.
4. Fairness - AI systems should be designed and implemented in a way that does not lead to outcomes that are discriminatory or unjust.
5. Safety - AI systems should be designed and implemented in a manner that ensures safety and does not harm users, the environment, or society.