AI TRiSM definition
AI Trust, Risk, and Security Management (AI TRiSM) is a framework that manages risks and ensures trustworthiness and security when implementing and using Artificial Intelligence (AI) systems in organizations.
See also: artificial intelligence
AI trust refers to ensuring that AI systems are transparent, explainable, and reliable. It means that stakeholders can clearly see how decisions are made and how AI might impact them by using and processing data. AI explainability is closely related to transparency and involves making sure that the decisions made by an AI system can be easily understood by humans. Finally, reliability is about ensuring that AI systems operate without errors or issues and consistently produce the right outcomes.
AI risk management
AI risk management is creating strategies to identify potential risks (for example, data privacy, security, legal, or ethical risks, among others), assess their likelihood and potential impact, and implement measures to mitigate them.
AI security management
AI systems, like all software, can be vulnerable to attacks, so it’s crucial to implement appropriate security measures. This might involve securing the data used to train the AI, ensuring the integrity of the AI models, and implementing strict access controls.