AI TRiSM—Guiding Risk Management in Artificial Intelligence
What is AI TRiSM?
Origins of AI TRiSM
Ethical AI
Secure AI
Trustworthy AI
Applications of AITRiSM
The Future with AI TRiSM
What is AI TRiSM?
AI TRiSM (AI trust, risk, and security management), is a framework for integrating ethical, secure, and trustworthy practices in AI development, ensuring fairness, data protection, and reliability for a better, safer future.
Origins of AI TRiSM
AI TRiSM was created by Gartner as a response to growing concerns over AI's impact on society. It combines principles from AI, cybersecurity, and ethics to address these challenges comprehensively.
Ethical AI
The goal of ethical AI is to develop systems that uphold the rights and values of people. This includes: • Preventing prejudice and discrimination. • Maintaining openness in the processes used to make decisions. • Holding users and developers responsible for the actions of AI.
Secure AI
Secure AI involves: • Preventing cyberattacks on AI systems. • Preserving user data and privacy. • Ensuring AI functions dependably even in challenging circumstances.
Trustworthy AI
The goal of trustworthy AI is to create dependable systems for users. Important features include: · User-friendly, transparent AI processes. · Clearly explicable AI results. · Reliable performance to inspire trust in users.
Applications of AI TRiSM
AI TRiSM can be used in many industries to improve operations. Examples include: · Healthcare: Protecting patient privacy and using AI for moral diagnoses. · Finance: Preventing fraud and safeguarding financial transaction Transportation: Developing self- sufficient, secure systems.
The Future with AI TRiSM
The future with AI TRiSM looks promising, with ongoing additions aiming to create more ethical, secure, and trustworthy AI systems. Continued research and collaboration are key to overcoming challenges and maximizing the benefits of AI .