Search Results
6 results for “responsible AI”
AI Ethics
AI ethics is the branch of applied ethics addressing the moral dimensions of designing, deploying, and governing artificial intelligence systems — covering fairness, accountability, transparency, privacy, and safety.
AI Literacy
AI literacy is the set of knowledge, skills, and attitudes that enable individuals to understand, evaluate, and use artificial intelligence tools effectively and responsibly in personal, professional, and civic contexts.
AI Safety
AI safety is a field of research and practice concerned with the development of artificial intelligence systems that behave reliably, avoid harmful outputs, and remain aligned with human values, especially as systems become more capable.
Malaysia AI Governance Framework
The Malaysia AI Governance Framework is a national set of guidelines, standards, and forthcoming legislation that defines responsible AI development and deployment in Malaysia.
Model Cards
Model cards are structured documentation sheets accompanying machine learning models that disclose intended uses, performance characteristics, training data, limitations, and ethical considerations.
Responsible AI
A framework of principles and practices that guide the development and deployment of artificial intelligence systems to ensure they are safe, fair, transparent, accountable, and aligned with human values.