This session explores a survey of Responsible AI frameworks, emphasizing the importance of ethical considerations in the development and deployment of AI and Large Language Models (LLMs). It reviews ethical frameworks designed to address challenges such as bias, fairness, transparency, accountability, and privacy.

Key frameworks discussed include the EU's Ethics Guidelines for Trustworthy AI, the IEEE's Ethically Aligned Design, and the AI Ethics Guidelines from the OECD.

For LLMs, the survey highlights frameworks addressing unique challenges like hallucination and verifiable accountability, including the AI Ethics Impact Assessment and the Model Cards for Model Reporting.

You will learn:

• Understand why we should look for frameworks and guides
• Understand the most common topics in AI frameworks
• How to use them in real projects.