TRiSM
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical.
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical.
The theory that all behaviors are acquired through conditioning, often used to understand and influence behavior change.
A structured set of breakpoints used to create responsive designs that work seamlessly across multiple devices.
The capability of a system to continue operating properly in the event of the failure of some of its components, ensuring that user experience is not significantly affected by errors or issues, similar to Postel's Law.
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame.
A behavioral economics concept where people categorize and treat money differently depending on its source or intended use.
A decision-making strategy where individuals are prompted to make a choice rather than defaulting to a pre-set option.
Visual cues or instructions integrated into an interface to guide users on how to use certain features or functionalities.
A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously.