This Week in Government Technology – September 8th-15th, 2024

Building Trust Through AI in Colorado’s New Data Governance Framework

Colorado’s newly released “Guide to Artificial Intelligence” aims to support state agencies in implementing generative AI technologies. Amy Bhikha, the state’s Chief Data Officer, emphasizes that success will depend on fostering innovation, building trust, and enhancing the state’s data governance program. The guidelines focus on balancing innovation with trust through a robust data governance framework, which involves inventorying state data and ensuring its quality and bias-free nature. This initiative follows earlier AI legislation, SB 24-205, establishing consumer protections for AI systems. Bhikha also highlighted the need for AI literacy among state employees and collaboration with other states to shape AI policies.

NASCIO Survey Reveals Gaps in AI Data Management Across States

A recent National Association of State CIOs (NASCIO) survey reveals that while 95% of 46 state respondents recognize the growing significance of AI and generative AI in data management, only 22% have implemented dedicated data quality programs. The survey focuses on data governance and business intelligence, but areas such as metadata and master data management are under-prioritized. NASCIO’s executive director, Doug Robinson, stresses the need for robust data quality frameworks and a data-centric culture to drive innovation and improve citizen services. The report also identifies a skills gap, with many agencies lacking data stewards and data literacy managers.

New Legislation Aims to Increase Transparency in New York City’s AI Use

New York is taking significant steps to enhance the transparency and responsible use of artificial intelligence (AI) in city and state governments. In New York City, Councilmember Jennifer Gutiérrez is introducing new legislation requiring publishing a public list of approved AI tools used by city agencies. This effort aims to boost transparency and accountability by providing detailed information on how AI tools are used and how they handle data. Scheduled for release in February 2025, the list will be updated every six months to foster collaboration between city agencies and ensure responsible use of AI technologies.

At the state level, the New York State Forum has established an AI Workgroup led by Gail Galusha, Director of Data and AI Governance. This workgroup, which includes both public and private sector members, is tasked with deepening the understanding of AI in the public sector, promoting ethical AI practices, and equipping state governments with tools for AI implementation. Both initiatives reflect New York’s leadership in the evolving landscape of AI governance and responsible technology use.

New AI Infrastructure Task Force to Boost US Leadership and Clean Energy Initiatives

The White House announced the creation of a new task force on AI data center infrastructure following a meeting with top executives from major AI and tech companies, including OpenAI, Nvidia, and Anthropic. The task force will focus on securing clean energy, workforce needs, and accelerating the construction of AI data centers to strengthen U.S. leadership in AI. The initiative aims to support national security, create jobs, and ensure the infrastructure is powered by renewable energy. However, civil society groups expressed concerns over environmental impact and transparency, warning of potential negative consequences for energy costs and climate goals.

House Panel Passes AI Bills to Boost Research, Workforce, and Safety Initiatives

The House Science, Space, and Technology Committee passed nine bipartisan AI-related bills, including legislation to codify the National AI Research Resource (NAIRR) and establish the AI Safety Institute under a new name. These bills aim to enhance AI research, workforce development, and safety measures. While many House bills have counterparts moving through the Senate, differences remain, particularly around funding for AI safety initiatives. Legislators emphasize the importance of advancing AI technology without imposing burdensome regulations, but concerns over underfunding and international competition remain key discussion points.