About the Program
This 3-week intensive program provides a comprehensive understanding of AI governance frameworks, global regulations (GDPR, CCPA, EU AI Act), and best practices for ethical, accountable, and transparent AI deployment in real-world applications.
Aim
Equip professionals with the knowledge to govern AI systems effectively, ensure regulatory compliance, mitigate risks, and build transparent, bias-aware, and accountable AI products.
Program Objectives
- Understand global AI governance frameworks and standards.
- Master compliance requirements for GDPR, CCPA, EU AI Act.
- Design ethical AI systems adhering to Fairness, Accountability, Transparency.
- Develop strategies for bias mitigation in AI models.
- Create transparent and accountable AI products.
Program Structure
Module 1: Introduction to AI Governance & Compliance
- Role of governance in responsible AI
- Regulatory bodies & standards: GDPR, CCPA, ISO
Module 2: Ethics in AI Development & Deployment
- FATE principles: Fairness, Accountability, Transparency, Ethics
- Case studies of AI failures and ethical challenges
Module 3: AI Compliance Frameworks & Regulations
- Global regulatory overview: GDPR, EU AI Act, CCPA
- Designing effective AI compliance frameworks
Module 4: Risk Management for AI Systems
- Identifying and mitigating AI risks
- Data privacy and security management
Module 5: Bias & Fairness in AI Models
- Techniques for bias detection and reduction
- Best practices for equitable data collection and training
Module 6: Transparency & Explainability
- Explainable AI (XAI) techniques
- Regulatory requirements for AI interpretability
Module 7: AI Accountability & Responsibility
- Assigning roles & human-in-the-loop strategies
- Automated vs. human-supervised AI systems
Module 8: Privacy & Data Protection in AI
- GDPR, HIPAA, and data protection techniques
- Differential privacy & federated learning
Module 9: Auditing & Monitoring AI Systems
- Continuous compliance monitoring
- AI lifecycle management
Module 10: AI Governance in Practice
- Building governance teams & ethics boards
- Policy implementation in organizations
Module 11: Regulatory Challenges & Future Trends
- Emerging AI regulations and standards
- Case studies on regulatory adaptation
Participant Eligibility
- Data scientists and AI professionals
- Legal experts and compliance officers
- Project managers in regulated AI environments
Program Outcomes
- Expertise in AI governance and compliance frameworks.
- Ability to design ethical, fair, and transparent AI systems.
- Skills in risk mitigation and regulatory adherence.
- Proficiency in auditing and monitoring AI for continuous compliance.
