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

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Manage episode 469771986 series 2923626
Contenido proporcionado por Brave and Brave Software. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Brave and Brave Software o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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

  continue reading

143 episodios

Artwork
iconCompartir
 
Manage episode 469771986 series 2923626
Contenido proporcionado por Brave and Brave Software. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Brave and Brave Software o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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

  continue reading

143 episodios

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