Can artificial intelligence help governments make better policy without actually making policy? Recorded live at AI4 2026 in Las Vegas, Sanjay Puri speaks with Alaa Moussawi, Chief Data Scientist at the New York City Council, about how data science, open-source AI, RAG, and AI agents are being used to make government more evidence-driven and efficient. Alaa explains how his team uses Retrieval-Augmented Generation (RAG) to help attorneys and policy analysts search thousands of legal memos, retrieve relevant precedents, and conduct legislative research in seconds—while keeping humans responsible for the actual policy decisions. The conversation explores the role of AI in government, AI-assisted policymaking, open-source AI, legislative research, AI governance, government technology, and the growing question of where the line should be drawn between AI assisting policymakers and AI influencing policy itself. Alaa also shares how the New York City Council is building multiple AI agents into a single chatbot that can retrieve information from legislation, demographic data, HR systems, and external APIs, creating a unified AI interface for government employees. In this episode: * How AI is being used inside the New York City Council * Can AI help governments write better legislation? * Using RAG for legislative and legal research * Why AI should assist policymakers—not make policy * How open-source AI can improve government technology * Building AI agents for government workflows * Creating a unified AI chatbot for government employees * AI governance and human oversight in public policy * Why data-driven policymaking matters * The future of AI in government * AI, job displacement, and the role of government * Why government needs to adapt to AI-driven automation * Building AI capabilities inside public institutions * Why Alaa chose public service over Silicon Valley Alaa argues that the goal isn't simply to make government faster. It is to improve the quality of legislation by reducing repetitive work and decision fatigue, allowing attorneys, policy analysts, and elected officials to focus on higher-value work. Whether you're a policymaker, government technology leader, Chief AI Officer, data scientist, researcher, or AI governance expert, this conversation offers a practical look at what responsible AI adoption in government can actually look like. Recorded live at AI4 2026 in Las Vegas by Knowledge Networks. Subscribe for more conversations with leaders shaping the future of AI governance, public policy, technology, and responsible innovation. #ArtificialIntelligence #AI4 #AI42026 #AIGovernance #AIinGovernment #AIandGovernment #RAG #AIAgents #OpenSourceAI #PublicPolicy #GovernmentAI #DataScience #ResponsibleAI #SanjayPuri #AlaaMoussawi ## Chapters 00:00 Can AI assist without writing policy? 00:50 Meet Alaa Moussawi, NYC Council Chief Data Scientist 02:00 Building data-driven policymaking at NYC Council 02:46 Building government technology with open source 04:50 Using RAG for legislative research 07:30 How RAG works inside government 10:00 Making legal research faster with AI 11:56 Where AI assistance ends and policymaking begins 14:44 Should AI make government more efficient? 16:13 Automating government workflows 17:00 Measuring AI's impact on government 19:00 The challenges of adopting AI in government 20:00 Why NYC Council uses open-source AI 21:30 AI, energy use, and the ethics of AI 22:20 AI and the future of jobs 25:40 Why NYC Council chose open-source AI 26:43 How many jobs could AI replace? 27:28 Does AI need federal governance? 28:14 Can NYC's AI model be replicated elsewhere? 30:06 Why Alaa chose public service 31:39 Building AI agents for government 33:14 One chatbot to connect government information 33:31 Open source, RAG, MCP and AI 33:51 The one decision Alaa would—and wouldn't—trust AI to make
