Sen. Cruz Introduces New AI Policy Framework to Enhance U.S. Leadership in Artificial Intelligence https://lnkd.in/g5Cpz9Kj Unleashing American Innovation: The SANDBOX Act for AI Development On July 23, 2025, U.S. Senate Chairman Ted Cruz introduced the SANDBOX Act, a pivotal legislative proposal aiming to revolutionize artificial intelligence in America. This framework champions innovation by easing federal regulations on AI developers while ensuring accountability. Key Highlights: Regulatory Sandbox: A space for developers to test new technologies without bureaucratic hurdles. Five Pillars: The framework outlines essential aspects for guiding AI policy. Collaboration: The Office of Science and Technology Policy will streamline regulation adjustments. Support from Industry Leaders: Backed by organizations like the U.S. Chamber of Commerce and the Information Technology Council (ITI). Cruz emphasized the urgency: “If we don’t lead in AI, our values risk being overshadowed by regimes that prioritize control.” The SANDBOX Act is a crucial step toward ensuring that American innovation flourishes while safeguarding public interests. Join the conversation! Reflect on how regulatory changes can shape the future of AI and share your thoughts below! Source link https://lnkd.in/g5Cpz9Kj
Sen. Cruz Introduces SANDBOX Act for AI Development
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Policy Probe: Can AI be deployed in government without undermining trust and accountability? Artificial intelligence (AI) promises to make public service delivery more efficient, responsive, and cost-effective—but the risks are real. As AI tools are increasingly used to automate services and inform policy decisions, concerns about transparency, privacy, workforce displacement, and algorithmic bias are growing. The challenge isn’t whether AI should be adopted, but how to do so in ways that are secure, equitable, and democratically legitimate. Governments have a growing toolbox to support responsible AI adoption in the public sector, including: ➡️ Privacy-first platforms: prioritize AI systems that ensure citizen data remains within Canadian borders, addressing concerns about data sovereignty and foreign surveillance. ➡️ Institutional governance frameworks: use macro-meso-micro governance models to align national AI strategies, public sector practices, and citizen interactions. This structured approach ensures coherence across government levels and mitigates implementation gaps. ➡️ Trust-building mechanisms: introduce mandatory algorithmic audits, participatory design processes, and transparent communication to address public fears around bias, job loss, and decision opacity. If you want to learn more about how AI is reshaping the public sector, check out: 🔗 Cimellaro, Matteo. 2025. “Four Things Public Servants Need to Know about the Federal Government’s New AI Strategy.” Ottawa Citizen. https://lnkd.in/g_nWVfEX 🔗 Criado, J Ignacio, Rodrigo Sandoval-Almazán, and J Ramon Gil-Garcia. 2025. “Artificial Intelligence and Public Administration.” Public Policy and Administration 40(2): 173–84. https://lnkd.in/gSRtcpyx 🔗 Harrison, Teresa M., and Luis Felipe Luna-Reyes. 2022. “Cultivating Trustworthy Artificial Intelligence in Digital Government.” Social Science Computer Review 40(2): 494–511. https://lnkd.in/gTq7xm5H #PublicSectorAI #ResponsibleAI #DigitalGovernance #TrustInTech
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Ada’s new strategy for 2025-28 highlights the need to understand how AI and data could support a positive vision for society, and the policy choices and institutions this will require. Over the next three years, we will explore how these technologies interact with people and services; examine which models of governance work in the public interest; and identify and challenge power imbalances. Read our strategy: https://lnkd.in/eckFSD6A
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Essential reading for anyone with a stake in making AI work in the public's interest (hint: that's pretty much all of us).
Ada’s new strategy for 2025-28 highlights the need to understand how AI and data could support a positive vision for society, and the policy choices and institutions this will require. Over the next three years, we will explore how these technologies interact with people and services; examine which models of governance work in the public interest; and identify and challenge power imbalances. Read our strategy: https://lnkd.in/eckFSD6A
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On July 23rd, the White House released America's AI Action Plan. Of particular note were the sections regarding the promotion of rapid buildouts of data centers as well as the goal of removing onerous Federal regulations that can hinder AI development and deployment. AI systems are only as good as the data they’re trained on. Without high-quality and well-structured data, AI cannot function effectively resulting in poorly made biased decisions, or worse- failure altogether. Adequate data center capacity and ease of data acquisition would ease some of the challenges; however, not answer all the obstacles when it comes to data inputs into AI models. At ANDECO Institute, our team stands ready to guide USG groups through the nuances of data analysis to drive unbiased data purchase recommendations in an efficient way through the use of unique contracting vehicles. #data #AI #guidance https://lnkd.in/ewxX4fAF
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💡 News Update 💡 South Korea has launched a new National AI Strategy Committee, a central body designed to strengthen governance and accelerate innovation in artificial intelligence. The Ministry of Science and ICT announced that the Cabinet approved regulations for the committee during a meeting chaired by President Lee Jae-Myung at the Yongsan Presidential Office. #ai #aistrategy #tech #airegulation https://lnkd.in/g7FeAsPT
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CAIDP Advises Congress on Future of AI We write from the Center for AI and Digital Policy (CAIDP) regarding the hearing on Shaping Tomorrow: The Future of Artificial Intelligence. "While AI offers transformative potential, without meaningful oversight, the current trajectory threatens to harm children, disrupt workforces, suppress competition, and erode democratic institutions. 👉🏽 "We continue to believe that it is vitally important for the United States to establish baseline federal safeguards for AI to enable trustworthy and human-centric AI. We offer the following recommendations to this Committee: 1️⃣ Congress must legislate baseline federal guardrails to protect Americans and fuel responsible innovation: Mandate transparency, require measures for safety by design, advance algorithmic fairness, enact federal privacy legislation, establish red lines. 2️⃣ Support public investment in safe, trustworthy, and fair AI: In budget measures and in exercising oversight on public investment into AI, Congress should prioritize investments in privacy enhancing technologies (PETs), energy-efficient systems, and diffusion of AI resources. 3️⃣ Exercise oversight on AI procurement and deployment by the federal government to drive responsible innovation and build trust: The federal government can and should use AI in a manner that enhances operational efficiency, ensures public safety, and protects fundamental rights. The novel nature of these systems give rise to cascading failures, wherein the failure of one component triggers subsequent failures in complex interconnected systems. "Thank you for your consideration of our views. We ask that this statement be included in the hearing record. We look forward to supporting this Committee’s work and available to provide additional information to the members." #aigovernance House Committee on Oversight and Government Reform Nancy Mace Christabel R. Marc Rotenberg Merve Hickok Mackenzie Tyson Keisha Thomas Kevin Xu Carpenter Econn
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AI regulations are landing fast. What does it mean for your organization’s AI systems and compliance strategy❓ Some rules are already in force. Others have been delayed or narrowed. And just as many are still being debated. This roundup highlights the developments most likely to shape your organization’s use of generative AI, automated decision systems, chatbots, and more. 🇪🇺 In Europe, the General-Purpose AI Code of Practice took effect, shaping how large GenAI providers operate. 🇺🇸 In the U.S., no federal moratorium passed, leaving states like California to push ahead with Automated Decision System rules. 🇨🇳 In China, providers must now label synthetic content both visibly and in metadata. Meanwhile, Colorado delayed its AI Act, Utah narrowed its own, and states like Illinois, Texas, and Maine passed targeted measures. Globally, the UK and Brazil are moving forward with broad frameworks. 📌 The takeaway: compliance is becoming a patchwork. Organizations that want to scale AI with confidence need a plan to keep pace. At FairNow, we’re committed to helping organizations cut through this complexity—tracking regulations, mapping requirements, and building the governance structures needed to stay compliant and trusted. A special shout-out to our Director of AI Policy, Tyler Lawrence, whose rigor keeps us on track and our community updated. 👉 Read the full AI Regulations roundup at → https://lnkd.in/g-Kke9Wd #AIRegulations #AIGovernance #AICompliance #ResponsibleAI #EUAIAct
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A good perspective of the changing focus on industry actors as the critical AI governance leaders rather than regulatory bodies.
The #AIActionPlan, released on July 23, 2025 by the Trump administration, signals a turning point in the federal government’s approach to artificial intelligence governance. It is designed to establish American AI dominance on the global stage but it also places greater responsibility for sound and safe AI deployment on industry actors, particularly those who bring AI into real-world applications. “The real work ahead isn't choosing between innovation and responsibility—it's proving they're inseparable." said Jon Iwata, Executive Chairman of the Data & Trust Alliance. "As deployers become the de facto standard-setters, our Alliance members have the opportunity to demonstrate that the most competitive AI strategies are also the most trustworthy ones." Read our brief on the implications for business here: https://lnkd.in/e7-kGgzV #artificialintelligence #responsibleai #innovation Saira Jesani; Kristina Podnar; Camille Stewart Gloster, Esq; Pinal Shah
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Senator Cruz Proposes Two-Year Exemption from AI Regulations https://lnkd.in/gQR3QRr5 The SANDBOX Act: A Game Changer for AI Development The SANDBOX Act, spearheaded by Senator Ted Cruz, proposes a two-year waiver from specific federal regulations for AI developers—potentially extendable for a decade. This legislation aims to foster innovation while ensuring safety and responsibility. Key Highlights: Temporary Waivers: AI companies can request waivers from the OSTP, detailing the benefits and risk mitigation strategies. Regulatory Balance: The act ensures developers must still comply with overall laws while seeking relief from obstructive regulations. Annual Reporting: The OSTP will provide yearly updates to Congress on waiver outcomes and approvals. Cruz emphasizes the urgency to maintain America's lead in AI as global competition intensifies. This bill encourages responsible innovation without stifling progress due to bureaucratic hurdles. 👉 Are you in the tech space? Engage and share your thoughts on the potential of the SANDBOX Act! Source link https://lnkd.in/gQR3QRr5
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The United Nations General Assembly has adopted draft Resolution No. 79/325 (26 August 2025), outlining the Terms of Reference and Modalities for the Independent International Scientific Panel on Artificial Intelligence and the Global Dialogue on Artificial Intelligence Governance. This resolution represents a milestone in global AI governance. The Independent Panel, composed of 40 experts from diverse regions, will provide evidence-based assessments of AI’s opportunities, risks, and impacts, ensuring scientific rigor, independence, and inclusivity. Alongside, the Global Dialogue on AI Governance will convene annually, bringing governments, industry, and civil society together to deliberate on safe, trustworthy, and human-rights-centered AI. Its agenda spans capacity-building, digital divides, open-source AI, ethical and cultural implications, and robust oversight mechanisms. By institutionalizing a shared platform, the UN underscores that AI governance is no longer a fragmented national issue but a collective international imperative, linked directly to the Sustainable Development Goals. A copy of the draft resolution is enclosed for reference. This initiative is poised to influence how nations, businesses, and communities collaborate on AI’s global future. P.S. This post is for academic discussion only. #ArtificialIntelligence #AIGovernance #UnitedNations #GlobalAI #TechPolicy #DigitalCompact #AIForGood #AIRegulation #InternationalLaw #SustainableDevelopment
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