1: Introduction to AI accountability framework.

2: Importance of ethical use in AI technology.

3: Key principles of AI accountability.

4: Implementing transparency in AI systems.

5: Ensuring fairness and non-discrimination in AI.

6: Establishing data privacy and security measures.

7: Creating mechanisms for accountability and oversight.

8: Case studies of ethical AI implementation.

9: Conclusion on the necessity of ethical frameworks in AI development.