IT Governance and Generative AI Presentation

This presentation, titled "IT Governance and Generative AI: Navigating the Future," explores how generative AI is transforming industries and emphasizes the critical role of IT governance in aligning AI initiatives with business objectives. It highlights key challenges of AI, such as data bias, privacy concerns, and accountability, and underscores the importance of governance in managing risks and ensuring compliance. The presentation outlines core principles of AI governance, including ethical development, monitoring, and auditing, and provides a framework for implementing AI governance effectively. The conclusion reinforces the idea that while AI is revolutionizing industries, responsible governance ensures its strategic and ethical use.

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.