Responsible AI: Governance, Ethics, and Safety Best Practices

Discussion Points:

• Framework Development: Learn how to develop and implement robust data governance frameworks that ensure data quality, integrity, and accessibility.

• Privacy and Compliance: Address the complexities of data privacy and compliance, and explore strategies for maintaining regulatory standards in AI initiatives.

• Ethical AI Deployment: Engage in discussions on mitigating biases in AI models, ensuring transparency, and promoting ethical AI practices.

• AI Safety: Discuss best practices for ensuring AI safety, including risk management strategies and the development of safety protocols.