Assessing Risks and Best Practices of AI Large Language Models in Policymaking

Summary:Join us in a comprehensive analysis of the risks and best practices associated with the use of AI Large Language Models (LLMs) in policymaking. This session will explore critical issues such as bias, privacy concerns, and the integrity of AI-generated content, while also showcasing the how AI could successfully be integrated in policy development.
About the session:As AI technology evolves, its integration into policymaking presents both unprecedented opportunities and significant challenges. The use of LLMs like OpenAI's ChatGPT in policy development brings forth a spectrum of potential risks that need careful consideration and management.
In this session, we will cover:
1. Known and unknown risks of LLMs• Data Privacy and Security: Examine how LLMs handle sensitive data and discuss potential risks related to data breaches and misuse.• Bias and Fairness: Explore the inherent biases in AI models and their impacts on policy fairness and inclusivity.• Dependence and Overreliance: Discuss the dangers of overreliance on AI for critical decision-making processes.• Exploring unknown or uncharted risks: Explore potential risks that are currently uncharted as well as methods to minimize unknown risks
2. Best Practices for Integrating AI in Policymaking• Regulatory Compliance: Learn about guidelines and frameworks to ensure AI applications comply with existing laws and ethical standards.• Transparency and Accountability: Highlight the importance of maintaining transparency in AI decision processes and mechanisms for holding AI systems accountable.• Technology usage considerations: Explore use cases for the technology as well as methods that can be used to achieve relevant and useful results while minimizing risks
Your Contribution:This study group aims to foster a balanced understanding of both the pitfalls of using AI in policymaking and potential mitigation strategies. Your perspectives and experiences are crucial. Engage with us in discussions, provide feedback, and help shape a framework for the responsible use of AI in government. Together, we can strive towards a future where AI enhances policymaking while upholding the highest standards of fairness and integrity.

This in-person study group / discussion is open only to HUID holders. Registration is not necessary.
M-RCBG welcomes individuals with disabilities to participate in its programs. To request accommodations or ask questions about access provided, please email: mrcbg@hks.harvard.edu