AI Ethics
Reliability
Reliability is the consistency and dependability of a system, product, or process to perform as expected under specified conditions.
AI Ethics
Responsible AI
Responsible AI is the practice of designing, developing, and deploying artificial intelligence systems that are ethical, transparent, and accountable.
AI Ethics
Reward Hacking
Reward hacking is a phenomenon where an AI or system exploits loopholes in its reward function to achieve high rewards in unintended ways.
AI Ethics
Right to be Forgotten
The Right to be Forgotten is a legal principle allowing individuals to request the removal of personal information from online platforms under certain conditions.
AI Ethics
Right to Explanation
The Right to Explanation is a principle that allows individuals to understand how automated systems, especially AI algorithms, make decisions affecting them.
AI Ethics
Risk Assessment
Risk assessment is the process of identifying, evaluating, and prioritizing potential risks that could negatively impact a business or project.
AI Ethics
Robustness
Robustness is the ability of a system, process, or model to maintain effective performance despite changes, errors, or unexpected conditions.
AI Ethics
Robustness Certification
Robustness Certification is the process of formally verifying that a system, model, or product maintains reliable performance under various challenging or adversarial conditions.