Search Results
15 results for “governance”
AI Alignment
AI alignment is the field of research dedicated to ensuring that artificial intelligence systems pursue goals, values, and behaviours that are consistent with human intentions.
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 Regulation in Malaysia
An overview of the Malaysian regulatory landscape governing artificial intelligence — covering PDPA, sectoral guidelines, national AI policy, and Malaysia's approach to the global AI governance debate.
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.
ASEAN AI Governance
ASEAN AI governance refers to the regional frameworks, guidelines, and policy initiatives adopted by Southeast Asian nations to promote responsible, trustworthy, and interoperable artificial intelligence development and deployment.
BNM AI Guidelines
Bank Negara Malaysia's AI guidelines provide a regulatory framework governing the responsible adoption of artificial intelligence in Malaysia's financial sector, covering risk management, governance, and accountability requirements for licensed institutions.
CyberSecurity Malaysia
CyberSecurity Malaysia is the national cyber security specialist agency under the Ministry of Science, Technology and Innovation, responsible for incident response, digital forensics, certification, and capacity building, including emerging risks from artificial intelligence.
EU AI Act
The EU AI Act is the world's first comprehensive legal framework regulating artificial intelligence, classifying AI systems by risk level and imposing obligations on developers and deployers operating in the European Union.
Explainable AI
Explainable AI (XAI) refers to methods and techniques that make the decisions and predictions of artificial intelligence systems interpretable and understandable to human users, addressing the opacity of complex machine learning models.
IBM watsonx
IBM's enterprise AI and data platform, comprising watsonx.ai for model development, watsonx.data as an open lakehouse, and watsonx.governance for AI risk and compliance management.
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 Registry
A model registry is a centralised system that catalogues, versions, and governs trained machine learning models throughout their lifecycle, supporting reproducibility, deployment, and compliance.
National AI Office Malaysia
The National AI Office (NAIO) is a Malaysian government body established in 2024 to coordinate national artificial intelligence policy, governance, talent development, and adoption across public and private sectors.
National Cyber Security Agency (NACSA)
The Malaysian federal agency responsible for coordinating national-level cyber security policy, protecting Critical National Information Infrastructure, and shaping the country's response to emerging threats including artificial intelligence and AI-enabled attacks.
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.