Generative AI is transforming industries while IT governance ensures alignment with business objectives and risk management. Key challenges include data bias, privacy concerns, accountability, and security risks. Effective IT governance is crucial for ethical AI development, compliance, and regular monitoring.

1. IT
Governance
and
Generative AI
NAVIGATING THE FUTURE

2. Introduction to IT Governance
and Generative AI
 Generative AI is transforming industries.
 IT governance ensures AI is aligned with business
objectives and addresses risks.

3. Challenges and Risks of
Generative AI
Key Challenges:
 Data Bias
 Privacy Concerns
 Accountability
 Security Risks

4. Importance of IT
Governance
IT governance ensures:
 AI aligns with business goals
 Compliance with regulations
 Risk management and accountability

5. Key Governance
Principles for AI
Core principles include:
 Accountability
 Ethical AI Development
 Monitoring and Auditing
 Compliance

6. Implementing AI
Governance Frameworks
Steps to implement AI governance:
 Define use cases
 Establish accountability
 Form ethics committees
 Conduct regular audits

7. Conclusion
 AI is reshaping industries, but effective IT
governance ensures its responsible and strategic
use.