Introduction to AI Trust, Risk, and Security Management (AI TRiSM) Training Course
AI TRiSM is an emerging field that addresses the need for trustworthiness, risk management, and security in AI systems.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to understand and implement AI TRiSM in their organizations.
By the end of this training, participants will be able to:
- Grasp the key concepts and importance of AI trust, risk, and security management.
- Identify and mitigate risks associated with AI systems.
- Implement security best practices for AI.
- Understand regulatory compliance and ethical considerations for AI.
- Develop strategies for effective AI governance and management.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Understanding AI TRiSM
- Introduction to AI TRiSM
- The importance of trust and security in AI
- Overview of AI risks and challenges
Foundations of Trustworthy AI
- Principles of AI trustworthiness
- Ensuring fairness, reliability, and robustness in AI systems
- AI ethics and governance
Risk Management in AI
- Identifying and assessing AI risks
- Mitigation strategies for AI-related risks
- AI risk management frameworks
Security Aspects of AI
- AI and cybersecurity
- Protecting AI systems from attacks
- Secure AI development lifecycle
Compliance and Data Protection
- Regulatory landscape for AI
- AI compliance with data privacy laws
- Data encryption and secure storage in AI systems
AI Model Governance
- Governance structures for AI
- Monitoring and auditing AI models
- Transparency and explainability in AI
Implementing AI TRiSM
- Best practices for implementing AI TRiSM
- Case studies and real-world examples
- Tools and technologies for AI TRiSM
Future of AI TRiSM
- Emerging trends in AI TRiSM
- Preparing for the future of AI in business
- Continuous learning and adaptation in AI TRiSM
Summary and Next Steps
Requirements
- An understanding of basic AI concepts and applications
- Experience with data management and IT security principles is beneficial
Audience
- IT professionals and managers
- Data scientists and AI developers
- Business leaders and policymakers
Open Training Courses require 5+ participants.
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