Welcome To CPSAI Spotlight
The Center for Public Sector AI (CPSAI) is excited to launch our monthly newsletter, CPSAI Spotlight. This new publication is designed to keep our community updated on the latest developments, insights, and successes in the realm of AI and contemporary technologies within the public sector. Each month, we will spotlight significant projects, share expert opinions, and provide updates on our initiatives.
This Month at CPSAI
Closing of the 2024 Open Call
We are thrilled to announce the successful conclusion of the 2024 Open Call! This initiative, launched on January 1, 2024, aimed to identify innovative technological solutions to address the top issues identified by health and human service leaders. We received an overwhelming response, with 52 submissions, which are now in the evaluation process. This marks a significant step towards harnessing contemporary technologies such as AI, machine learning, and robotic process automation to enhance public services and improve outcomes for citizens.
This Month in AI News
Each month, we curate a selection of the most impactful AI stories from around the globe, focusing on innovations, regulatory updates, ethical debates, and breakthrough applications in various sectors, including the public sector. Stay informed with our concise and insightful summaries that keep you at the forefront of AI developments. Whether you're an AI enthusiast, a policy maker, or a professional in the field, this section will provide you with the knowledge you need to stay ahead in the ever-evolving landscape of AI technology.
AI in Development to Enhance Government Websites
The General Services Administration (GSA) is developing an open-source tool called "Gov CX Analyzer" to enhance how government websites gather and analyze user interaction data. Announced by GSA Administrator Robin Carnahan during the Workday Federal Forum, this AI-powered tool aims to provide deeper insights into user behavior, moving beyond traditional survey feedback to identify and address friction points on government websites. This initiative aligns with similar efforts by the Office of Management and Budget to improve customer experience performance across federal agency sites.
Treasury Seeks Insights on AI's Financial Sector Impact
The Treasury Department, led by Secretary Janet Yellen, has issued a request for information (RFI) to gather insights from various stakeholders on the uses and risks of artificial intelligence in the financial sector. This initiative aims to enhance the understanding and implementation of AI technologies in financial products, risk management, and regulatory compliance. The RFI solicits detailed feedback on current AI models, barriers to AI deployment, particularly for small banks, and the impact of AI on underserved communities. This effort aligns with the Biden administration's commitment to fostering innovation while safeguarding financial stability and consumer protection.
Improving Transparency: IRS Responds to GAO’s AI Audit Concerns
A recent watchdog report highlighted deficiencies in the IRS's documentation of AI models for selecting audit cases. The Government Accountability Office (GAO) found that the IRS did not adequately document elements of these models, potentially leading to inconsistencies and transparency issues in future use. The IRS initially piloted AI for audits in 2019, with varying sample sizes in subsequent years. In response to the GAO's findings, the IRS has started drafting memos and updating technical documents to better define roles and variables in the AI audit selection process, aiming to enhance the operational effectiveness of these models.
AI in The Public Sector
In this section, we highlight how AI is being leveraged to improve efficiency, enhance service delivery, and address critical challenges faced by public sector organizations. From innovative pilot projects and successful implementations to policy updates and ethical considerations, we cover a wide range of topics that demonstrate the potential and reality of AI in government.
New Jersey Engages Public Employees in AI Framework Development
New Jersey is actively involving its state employees in developing an ethical AI framework by conducting a comprehensive survey. This initiative aims to enhance public services and empower the workforce by integrating AI responsibly. The survey gathers insights into employees' knowledge, attitudes, and interests regarding AI, which will inform training and pilot projects. This participatory approach is intended to ensure AI is implemented in ways that support public professionals and improve service delivery, exemplifying a model for other states to follow.
California Passes Landmark AI Bills
California Senate bills 892 and 893, designed to establish an AI risk management standard and a research hub, passed unanimously and are now proceeding to the Assembly. Senate Bill 892 instructs the California Department of Technology to implement AI risk management regulations and requires risk assessments in contracts for automated decision systems. Senate Bill 893 proposes the creation of the California Artificial Intelligence Research Hub to facilitate AI research and development through collaboration between government, academia, and the private sector. Senator Steve Padilla stressed the bipartisan necessity of these measures to protect against unchecked technological growth. Both bills were approved with a 37-0 vote, mirroring similar New Jersey and New York initiatives.
Las Vegas Explores AI to Improve Traffic Safety
The Regional Transportation Commission (RTC) of Las Vegas is piloting an innovative program called Advanced Intersection Analytics to enhance traffic safety at high-risk intersections. This initiative leverages AI, predictive analytics, historical data, cameras, and sensors to gather detailed information on traffic patterns and safety issues. The program, in collaboration with local governments and police departments, aims to identify and address violations such as red-light running, lane infractions, and pedestrian non-compliance. Data collected will support enforcement efforts and guide potential engineering changes to improve road safety.