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cover of episode AI in Legislation and How NYC Uses Data Science to Drive Policy

AI in Legislation and How NYC Uses Data Science to Drive Policy

2025/3/5
logo of podcast The Brave Technologist

The Brave Technologist

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Alaa Moussawi
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我作为纽约市议会的首席数据科学家,领导数据科学家和软件工程师团队,利用人工智能技术提高立法效率和透明度。我们开发并部署了多种AI模型,包括用于简化法律研究的RAG模型,以及用于检查立法提案重复性的机器学习模型。这些模型帮助我们确保立法的原创性,并提高工作效率。我们致力于使用透明且可重复的统计方法来推动数据驱动的立法,并确保所有数据分析过程的透明度和可解释性。我们选择使用本地部署的AI系统,以确保数据的安全性和完整性,并拥有对系统和数据的完全控制权。未来,我希望能够将我们开发的开源工具推广到其他政府机构,以促进数据驱动立法在更广泛范围内的应用。我相信人工智能不应该用于决策,而应作为辅助工具来提高决策效率,并确保政府决策的透明度和问责制。

Deep Dive

Chapters
This chapter explores how the New York City Council utilizes AI, specifically focusing on pre-generative AI and its application in identifying duplicate legislative proposals to ensure proper attribution and avoid redundant work. It highlights the importance of this process for maintaining transparency and efficiency within the legislative workflow.
  • Use of AI to streamline legislative workflows
  • Duplicate check to ensure proper attribution
  • Importance of transparency and efficiency in the legislative process

Shownotes Transcript

Alaa Moussawi, Chief Data Scientist for the New York City Council, shares how AI is reshaping legislative processes through smarter, data-driven laws. He discusses the council’s use of Retrieval-Augmented Generation (RAG) models, and open-source AI solutions to streamline workflows and ensure legislative originality. He also shares his perspective on the future of AI in government, the importance of transparency in policy-making, and why generative AI should assist with—but never make—decisions. Key Takeaways: 

How the New York City Council team leverages AI and data science to drive evidence-based policymaking

The importance of transparent, statistically-driven legislation

The debate between cloud-based vs. on-premise AI solutions in government

Common misconceptions about generative AI and decision-making

The future of AI in government and its role in shaping policy

Guest Bio: Alaa Moussawi) serves as Chief Data Scientist for the New York City Council, leading teams of data scientists and software engineers. His data team analyzes issues like pay equity, rats, and school bus delays to support data-driven legislation, emphasizing transparency and reproducibility. The software team works to streamline council workflows, automate tasks, and improve efficiency, developing open-source tools like CRMs, dashboards, and paperless hearing systems. They’ve deployed machine learning models, including a RAG model for simplifying legal research. Dr. Moussawi is also producing a LinkedIn Learning course on developing RAG models in secure environments. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast) is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin)

Produced by: Sam Laliberte)