AI for Governance
Mass. should follow Calif.’s lead, use AI to shed light on lawmakers
Following criticism of Massachusetts' legislative opacity and a vote granting the state auditor oversight powers, this letter to the Boston Globe argues that the state should adopt California's successful AI-driven legislative transparency model. The system could be replicated in Massachusetts for about $50K, potentially transforming the state from having one of the least to most transparent legislatures.
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Navigating Generative AI in Government
The IBM Center for The Business of Government has released a report exploring how generative AI can enhance government operations. The report argues that Generative AI can improve decision-making, efficiency, and public service delivery. The report outlines 11 strategic pathways for government agencies to effectively implement generative AI, including ethical AI practices, developing adaptive governance models, investing in data infrastructure, and providing employee training. It emphasizes the importance of public engagement and transparency to ensure responsible AI deployment and highlights the potential of AI to complement human skills in collaborative processes.
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OpenAI further expands its generative AI work with the federal government
Federal agencies are increasingly adopting ChatGPT Enterprise, a generative AI technology from OpenAI Recent contracts include purchases by the Internal Revenue Service (IRS), which acquired 150 licenses for the Department of the Treasury, and NASA, which has used OpenAI tools since last year and purchased an annual license for the platform this past summer. The Los Alamos National Laboratory and National Gallery of Art have also integrated ChatGPT Enterprise into their operations. On the defense side, OpenAI has partnered with the Air Force Research Laboratory to experiment with AI for reducing administrative tasks and improving efficiency. These developments highlight the growing role of generative AI in both civilian and defense government functions, with OpenAI working to establish stronger relationships with federal agencies, including seeking FedRAMP Moderate accreditation for enhanced accessibility.
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UAE Government Annual Meetings kick off with focus on AI, family and national identity
The 2024 UAE Government Annual Meetings will review the progress of the ‘We the UAE 2031’ vision, with a focus on integrating AI technologies to enhance national development. These discussions will address how AI can drive improvements in government services, streamline decision-making, and boost efficiency across various sectors. The meetings will also explore AI’s role in aligning federal and local development plans, shaping the UAE’s future readiness, and preparing for the long-term goals outlined in the UAE Centennial 2071 plan. The aim is to leverage AI to accelerate progress, improve quality of life, and strengthen the nation’s global competitiveness.
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[Press Release] New Jersey Releases Artificial Intelligence Task Force Report
This week, New Jersey’s State Artificial Intelligence Task Force published its report to Governor Phil Murphy outlining actions the Garden State can take to encourage the ethical and effective use of emerging technologies. The report recommends actions that aim to create economic opportunities for residents and businesses, encourage ethical use of AI technologies, promote equitable outcomes, support public and private workforces, and improve government services and the resident experience. The report features free AI skills training developed for the state by InnovateUS, as well as the results from a nation-leading effort to survey New Jersey’s workforce, residents, institutions, and businesses on their views on AI technologies.
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The Routledge Handbook of Artificial Intelligence and Philanthropy
“The Routledge Handbook of Artificial Intelligence and Philanthropy acts as a catalyst for the dialogue between two ecosystems with much to gain from collaboration: artificial intelligence (AI) and philanthropy. Bringing together leading academics, AI specialists, and philanthropy professionals, it offers a robust academic foundation for studying both how AI can be used and implemented within philanthropy and how philanthropy can guide the future development of AI in a responsible way. The contributors to this Handbook explore various facets of the AI‑philanthropy dynamic, critically assess hurdles to increased AI adoption and integration in philanthropy, map the application of AI within the philanthropic sector, evaluate how philanthropy can and should promote an AI that is ethical, inclusive, and responsible, and identify the landscape of risk strategies for their limitations and/or potential mitigation. These theoretical perspectives are complemented by several case studies that offer a pragmatic perspective on diverse, successful, and effective AI‑philanthropy synergies. As a result, this Handbook stands as a valuable academic reference capable of enriching the interactions of AI and philanthropy, uniting the perspectives of scholars and practitioners, thus building bridges between research and implementation, and setting the foundations for future research endeavors on this topic.”
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AI And Data Science for Public Policy
“Artificial intelligence (AI) and data science are reshaping public policy by enabling more data-driven, predictive, and responsive governance, while at the same time producing profound changes in knowledge production and education in the social and policy sciences. These advancements come with ethical and epistemological challenges surrounding issues of bias, transparency, privacy, and accountability. This special issue explores the opportunities and risks of integrating AI into public policy, offering theoretical frameworks and empirical analyses to help policymakers navigate these complexities. The contributions explore how AI can enhance decision-making in areas such as healthcare, justice, and public services, while emphasizing the need for fairness, human judgment, and democratic accountability. The issue provides a roadmap for harnessing AI’s potential responsibly, ensuring it serves the public good and upholds democratic values.”
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