Governance/Regulation/Legislation

Operationalizing AI Guidance: A Reference Guide for Translating High-Level Goals into Practical Implementation

(Kyle Crichton, Abhiram Reddy, and Jessica Ji – Center for Security and Emerging Technology) Organizations face growing pressure to adopt artificial intelligence, but often lack practical guidance on how to do so effectively. This report bridges the gap between high-level principles and real-world implementation, offering actionable steps across the AI adoption life cycle. Drawing on over 1,200 resources, this reference guide provides practitioners with the knowledge required to operationalize AI safety, security, and governance practices within their organizations. – https://cset.georgetown.edu/publication/operationalizing-ai-guidance-a-reference-guide-for-translating-high-level-goals-into-practical-implementation/

Catalytic Regulation: Incentivizing Safety During a Regulatory Drought

(Yonathan Arbel – AI Frontiers) In 1959, a midsize Swedish car company did something its competitors thought was myopic, if not reckless. It effectively open-sourced the three-point seat belt, the greatest safety innovation in automotive history. The prevailing industry wisdom at the time was blunt: “Safety doesn’t sell.” Just three years prior, Ford had offered seat belts for a $9 surcharge, as part of its 1956 Lifeguard campaign; despite Robert McNamara’s championing of the program, the safety push failed to give Ford a competitive edge. Henry Ford II reportedly grumbled, as he was dialing back its campaign, “McNamara is selling safety, but Chevrolet is selling cars.” But Volvo was neither myopic nor reckless; in fact, it saw further than any of its competitors. While they competed fiercely for dominance in a race for horsepower, engine efficiency, and design, Volvo could see that consumers cared about safety and reliability, too. The bet paid off: Volvo became one of the most recognized automotive brands in the world. According to Volvo, seat belts have since saved over 1 million lives. American AI needs its Volvo moment. The aim of catalytic regulation is to enable this moment. It is a family of positive incentives designed to channel market forces toward safety. Where traditional regulation works through mandates and penalties (“do this or else”), catalytic regulation works through rewards. Think tax credits for safety R&D, procurement incentives for verified-safe systems, and prestige mechanisms that make safety a competitive Schelling point. The goal is not just to subsidize safety at the AI industry’s margins, although that alone would be worthwhile. It is to catalyze a deeper shift in the culture that animates American AI innovation, marking safe and powerful AI as the very thing that American labs can do better than any competitor. – https://ai-frontiers.org/articles/catalytic-regulation-incentivizing-safety-during-a-regulatory-drought?utm_source=newsletter

How the United States Used Tariff Deals to Weaken Tech Regulation Around the World

(Ethel Rudnitzki, Krisna Adhi Pradipta, Justin Hendrix, Natalia Viana – Tech Policy Press) When President Donald Trump took office on January 20, 2025, he announced a new trade policy for the United States. “I am establishing a robust and reinvigorated trade policy that promotes investment and productivity, enhances our Nation’s industrial and technological advantages,” he said. This memo served as an opening gesture for lobbying actors that work to reduce export taxes and tariffs, especially those affecting Big Tech companies. A month later, the Computer and Communications Industry Association (CCIA)—an organization that represents tech giants such as Amazon, Apple, Google and Meta—issued a list of priorities for the United States Trade Representative (USTR) on what it called “unfair Foreign Digital Trade Practices.” Each year the group sends comments for the National Trade Estimates Report (NTE). In October 2024, CCIA identified 395 “non tariff barriers” in 54 countries. Taking advantage of the new government’s disposition, the organization reinforced its comments and demanded a “firm response” against measures from 23 of those countries, requesting the use of “all diplomatic and legal tools available” including “bilateral trade agreements or investigations under Section 301 of the 1974 Trade Act.” – https://www.techpolicy.press/how-the-united-states-used-tariff-deals-to-weaken-tech-regulation-around-the-world/

Chicago’s Amusement Tax Asks Big Tech to Start Paying Its Fair Share

(Jack Bandy – Tech Policy Press) Big Tech companies like Google and Meta have pleaded for years that they are not publishers, like newspapers. Instead, they have argued that they are “neutral infrastructure, not publishers,” protected by Section 230 of the Communications Decency Act, and the “safe harbor” it provides. Now that argument may force them to pay a new tax, and the companies have changed their tune. Chicago’s new amusement tax requires social media businesses with more than 100,000 active users to pay the city 50 cents per month for every active user (not including the first 100,000). Revenue from this tax will fund teams that respond to mental health emergencies in the city of Chicago, and is projected to bring in $31 million this year. – https://www.techpolicy.press/chicagos-amusement-tax-asks-big-tech-to-start-paying-its-fair-share/

Designing transparency for government AI: Insights from the UK’s Algorithmic Transparency Recording Standard initiative

(Joy Aston – OECD.AI) The Algorithmic Transparency Recording Standard (ATRS) is a UK government initiative that establishes a standardised way for public sector organisations to publish information about how and why they use algorithmic tools. In 2024, GPAI ran a project on Algorithmic transparency in the public sector, led by Juan David Gutierrez from Universidad de los Andes in Colombia and supported by CEIMIA (Centre d’Expertise International de Montréal en Intelligence Artificielle) – one of the three Centres of the GPAI Expert Community. The study reviewed global best practices and featured three case studies from Chile, the European Union and the UK. At its core, it explored why countries pursue such initiatives and how championing transparency can help avoid controversies and improve public trust. Before diving into the details of the standard, it is worth looking at a few cases that illustrate why such a standard is necessary. – https://oecd.ai/en/wonk/uk-algorithmic-transparency-recording-standard

Services growth puts policy and data at the centre of diversification push

(UNCTAD) Services are rapidly reshaping global trade – and the pace of change is accelerating. For many developing economies, the challenge is no longer whether services matter, but whether policy frameworks are keeping up. Global trade in services has grown by around 5.3% annually over the past decade – faster than goods trade – and now accounts for more than a quarter of total trade. This expansion is driven by digitally deliverable services, including IT, finance and professional services, enabled by rapid digitalization. Yet participation remains highly uneven. Developed economies dominate exports of digitally deliverable services, while many developing and least developed countries remain on the margins. As services become central to value creation, this gap risks widening without targeted policy action. Bridging it requires more than expanding trade. It depends on whether countries can design trade and regulatory frameworks that support domestic capacity to produce, export and benefit from services. – https://unctad.org/news/services-growth-puts-policy-and-data-centre-diversification-push

Paraguay advances in the ethical use of artificial intelligence in the justice system with UNESCO support

(Unesco) The Supreme Court of Justice of Paraguay has approved Resolution No. 12,677, establishing an institutional policy for the use of artificial intelligence systems within the judiciary. The regulation defines criteria for their application in data processing, information management, and assisted decision-making, grounded in principles of ethics, transparency, and respect for human rights. It also ensures that these tools serve as support mechanisms and do not replace human intervention in judicial processes. – https://www.unesco.org/en/articles/paraguay-advances-ethical-use-artificial-intelligence-justice-system-unesco-support?hub=701

New ILO brief explains what AI exposure indicators reveal about jobs

(International Labour Organization) A new research brief from the International Labour Organization (ILO) examines how artificial intelligence (AI) exposure indicators are used to assess potential impacts on jobs, highlighting both their value and their limitations. As interest in generative AI (GenAI) grows, exposure indicators are increasingly used to estimate which tasks and occupations could be automated or transformed. However, the ILO cautions that these measures should not be interpreted, on their own, as predictions of job losses or labour market outcomes. – https://www.ilo.org/resource/news/new-ilo-brief-explains-what-ai-exposure-indicators-reveal-about-jobs

AI needs digital public infrastructure to work for citizens, World Economic Forum says

(DigWatch) The World Economic Forum says AI will only improve public services at scale if governments build on strong digital public infrastructure rather than fragmented systems and isolated pilot projects. In a new analysis, the WEF points to digital identity, payments, and data exchange as the core layers that already support service delivery in many countries. – https://dig.watch/updates/world-economic-forum-coordinated-ai-dpi-strategy

Africa’s AI Strategies Cannot Say No

(Samuel W. Ugwumba – Just Security) African countries are building their AI governance frameworks at remarkable speed. Zimbabwe launched its National AI Strategy on March 14. Ghana’s National AI strategy received cabinet approval in February. Nigeria, Kenya, and Rwanda have all adopted strategies over the past three years. And the African Union’s (AU) Continental AI Strategy was endorsed in July 2024. In every case, the organizing concept is “development.” And in every case, “development” is failing to do the one thing that governance must: protect the people these frameworks claim to serve. This pattern is not new. For decades, foreign companies in Africa have extracted resources—minerals, data, labor—under arrangements that the framework of so-called “development” has classified as partnership. Now, AI governance is reproducing the same dynamic at a continental scale, under the guise of development, in a way that portrays extractive relationships as progress—reminiscent of how the original scramble for Africa was legitimized by the language of civilization, and a parallel to other corporate practices on the continent. –  https://www.justsecurity.org/136028/africas-ai-strategies-cannot-say-no/

Section 230 After ‘@Grok Is This True?’

(Joshua Villanueva – Lawfare) On X, a slew of content requires a critical eye. Fake wartime videos swirl around as users are swept up in synthetic, recycled, and misleading war images. A video of a mega-earthquake or a crumbling bridge goes viral. And deepfake footage of politicians and celebrities seems to bend reality. Users, seeking clarity, ask Grok-on-X, “Hey, @Grok is this true?”. When the same service both distributes content and generates an answer about whether that content is real, it raises questions under Section 230—the statute that generally shields online platforms from liability based on third-party content by preventing courts from treating them as the publisher or speaker of that content. In the context of “@Grok is this true?,” is the resulting claim still best analyzed as third-party speech for purposes of Section 230? Or does the platform’s own output become part of the challenged information? This distinction is important because Section 230 was designed for platforms that host or moderate others’ speech. Its main protection covers information “provided by another information content provider.” However, the statute also defines an “information content provider” as any entity responsible, “in whole or in part,” for the “creation or development” of information. The typical case, where a user creates a synthetic image elsewhere and posts it to X, is more straightforward. The complex issue is when the platform itself generates the relevant “verification” output within its own service. – https://www.lawfaremedia.org/article/section-230-after—grok-is-this-true

Security and Surveillance

Cyberattack at French identity document agency may have exposed personal data

(Daryna Antoniuk – The Record) A cyberattack targeting a French government website used to manage identity documents and driver’s licenses may have exposed users’ personal data, the Interior Ministry said on Monday. The incident affected the website of the National Agency for Secure Documents (ANTS), a government service responsible for processing applications for passports, national identity cards, residence permits and driver’s licenses. In a statement, the Interior Ministry said a “security incident that may involve the disclosure of data from both individual and professional accounts” was detected on April 15. – https://therecord.media/france-cyberattack-agency-passports

Trusted access for the next era of cyber defense

(OpenAI) We are scaling up our Trusted Access for Cyber (TAC) program to thousands of verified individual defenders and hundreds of teams responsible for defending critical software. For years, we’ve been building a cyber defense program on the principles of democratized access, iterative deployment, and ecosystem resilience. In preparation for increasingly more capable models from OpenAI over the next few months, we are fine-tuning our models specifically to enable defensive cybersecurity use cases, starting today with a variant of GPT‑5.4 trained to be cyber-permissive: GPT‑5.4‑Cyber. In this post, we share how we expect our approach of scaling cyber defense in lockstep with increasing model capabilities to guide the testing and deployment of future releases. The progressive use of AI accelerates defenders – those responsible for keeping systems, data, and users safe – enabling them to find and fix problems faster in the digital infrastructure everyone relies on. Similarly, AI is being used⁠ by attackers looking to cause harm. We’ve been preparing for this. Since 2023, we’ve supported defenders through our Cybersecurity Grant Program⁠ and strengthened safeguards through our Preparedness Framework⁠. The same year, we started evaluating our models’ cyber capabilities, and in 2025, we began including cyber-specific safeguards⁠(opens in a new window) in our model deployments⁠. Earlier this year, we furthered our support for defenders with the launch of Codex Security⁠ to identify and fix vulnerabilities at scale. – https://openai.com/index/scaling-trusted-access-for-cyber-defense/

Defence/Intelligence/Warfare

Advancing Responsible AI Across NATO: Innovation and Interoperability

(Ryan Jay Atkinson – Centre for International Governance Innovation) NATO’s first AI strategy from 2021 outlines six guiding principles: Lawfulness, Responsibility & Accountability, Explainability & Traceability, Reliability, Governability and Bias Mitigation. Together, these principles form the ethical and operational baseline guiding how NATO and its members design, deploy and govern AI in defence contexts. But the world of AI has evolved drastically since 2021. The 2024 strategy was more about practical applications, emphasizing cooperation of non-traditional defence suppliers for AI research and development with industry, academia and national defence agencies. NATO’s evolving AI strategy is part of larger initiatives toward rapid technological adaptation, innovating AI among other priority areas, including autonomous systems, with programs that support responsible AI operationalization scaling rapidly to meet the growing need for fast action on responsible AI use. Allies foster responsible AI developments that benefit from alignment with these NATO strategies and programs, building innovation clusters that are interoperable and interdisciplinary across domains. – https://www.cigionline.org/publications/advancing-responsible-ai-across-nato-innovation-and-interoperability/

Lockheed Martin nabs $105M ground system contract to support next-gen GPS

(Theresa Hitchens – Breaking Defense) Lockheed Martin’s new contract worth up to $105 million for modernizing the ground control system for Global Positioning System (GPS) satellites covers not just the birds on orbit today, but also early operations for the future GPS IIIF variants, according to a company announcement Thursday. “The new contract expands on a decade of work under the Space Force’s Architecture Evolution Plan, during which Lockheed Martin has steadily modernized the GPS ground segment. Under the agreement, the company will support launch, early orbit, and disposal operations for GPS IIIF space vehicles,” the announcement elaborated. – https://breakingdefense.com/2026/04/lockheed-martin-nabs-105m-ground-system-contract-to-support-next-gen-gps/

‘Robots don’t bleed’: Ukraine sends machines into the battlefield in place of human soldiers

(Ivana Kottasová, Daria Tarasova-Markina, Victoria Butenko – CNN) The scene is as old as warfare itself. Two soldiers, hands in the air, surrendering and carefully following the orders barked at them by the other side. Except in this case, there were no human captors in sight. Instead, the two Russians were submitting to Ukrainian land robots and drones controlled by a pilot from the safety of a position miles away from the front line. This is the future of warfare – and it’s happening now. “The position was taken without a single shot being fired,” Mykola “Makar” Zinkevych, the commander of the Ukrainian unit that conducted the mission, told CNN. – https://edition.cnn.com/2026/04/20/europe/robots-ukraine-battlefield-drones-intl-cmd

Northrop Grumman’s Talon IQ testbed hot-swaps AI brains mid-flight

(Breaking Defense) Northrop Grumman and three artificial intelligence firms — Shield AI, Accelint and Applied Intuition — showcased how different AIs could swap control of a single aircraft “seamlessly” mid-flight in recent testing, the companies said, which could offer US forces unprecedented flexibility in future fights. The flight tests — one last month involving Shield, the latest Wednesday with Accelint and Applied — were part of a Northrop initiative called Talon IQ (formerly Beacon), which turned a manned demonstrator, Scaled Composite’s Vanguard Model 437, into a testbed for both Northrop’s own Prism autonomy system and AI software from a growing group of partner companies. – https://breakingdefense.com/2026/04/northrop-grummans-talon-iq-testbed-hot-swaps-ai-brains-mid-flight/

Frontiers

Kvantify and Equal1 Partner on Quantum Computing Integration

(Quantum Insider) Kvantify and Equal1 formed a strategic partnership to deliver integrated quantum computing solutions focused on scientific and industrial applications. The collaboration combines Equal1’s silicon-based quantum hardware with Kvantify’s algorithms to enable advanced simulations in drug discovery and chemistry. A joint working group will coordinate technical integration, customer projects, and roadmap alignment to support real-world deployment. – https://thequantuminsider.com/2026/04/20/kvantify-equal1-quantum-partnership/

NGen Announces $62.7M in Funding for Canadian AI, Robotics & Tech Manufacturing Projects

(AI Insider) Next Generation Manufacturing Canada (NGen) said it will deploy nearly $25 million in federal funding to support 14 advanced manufacturing projects focused on AI, robotics and industrial technologies. The projects, backed by an additional $38 million from industry, represent more than $62 million in total investment aimed at strengthening Canada’s manufacturing competitiveness and accelerating commercialization. NGen said the initiative will support technologies including robotics, digital twins and automated production systems as Canada looks to expand its advanced manufacturing ecosystem and global partnerships. – https://theaiinsider.tech/2026/04/20/ngen-announces-62-7m-in-funding-for-canadian-ai-robotics-tech-manufacturing-projects/

Neptune Robotics Invests $12M USD in New Singapore Factory to Expand Robotic Hull Cleaning Capabilities

(AI Insider) Neptune Robotics announced it is investing $12 million in a new Singapore facility to scale its AI-powered robotic hull cleaning systems and expand manufacturing and R&D capabilities. The company said its systems target biofouling, which can increase fuel consumption by up to 30%, as operators look to reduce emissions and improve efficiency across maritime operations. Neptune Robotics said the expansion will increase cleaning capacity by 400% by 2026 and support up to 60 daily hull cleanings by 2027, following a $52 million Series B led by Granite Asia. – https://theaiinsider.tech/2026/04/20/neptune-robotics-invests-12m-usd-in-new-singapore-factory-to-expand-robotic-hull-cleaning-capabilities/

Vision One Seeks $1M–$3M in Funding to Scale AI, UAV & Robotics Ecosystem After US Army, NASA, DARPA & DIU Recognitions

(AI Insider) Utah-based Vision One Tech is seeking $1 million to $3 million in funding to accelerate development and deployment of its autonomous systems across UAVs, robotics and wearable AI platforms. The company is building an integrated ecosystem of Level 3 and Level 4 autonomous systems spanning aerial drones, ground robots and humanoids, targeting defense, logistics and emergency response applications. Vision One Tech said it will use the funding to expand engineering capabilities, advance product development and scale deployment of its multi-domain AI-driven systems. – https://theaiinsider.tech/2026/04/20/vision-one-seeks-1m-3m-in-funding-to-scale-ai-uav-robotics-ecosystem-after-us-army-nasa-darpa-diu-recognitions/

Faraday Future Announces $45M in New Financing with a U.S. Institutional Investor to Scale Robotics Ecosystem

(AI Insider) Faraday Future has secured $45 million in financing from a U.S. institutional investor to support its embodied AI (EAI) strategy, with $15 million immediately available and the remainder accessible in installments. The company said the funding will accelerate development of its EAI robotics business and electric vehicle programs, including the phased delivery of its FX Super One model. Faraday Future said the investor may become a long-term strategic partner, as the company positions the financing as a key step in scaling its EAI ecosystem and broader AI-driven mobility efforts. – https://theaiinsider.tech/2026/04/20/faraday-future-announces-45m-in-new-financing-with-a-u-s-institutional-investor-to-scale-robotics-ecosystem/

Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning

(Google DeepMind) For robots to be truly helpful in our daily lives and industries, they must do more than follow instructions, they must reason about the physical world. From navigating a complex facility to interpreting the needle on a pressure gauge, a robot’s “embodied reasoning” is what allows it to bridge the gap between digital intelligence and physical action. Today, we’re introducing Gemini Robotics-ER 1.6, a significant upgrade to our reasoning-first model that enables robots to understand their environments with unprecedented precision. By enhancing spatial reasoning and multi-view understanding, we are bringing a new level of autonomy to the next generation of physical agents. – https://deepmind.google/blog/gemini-robotics-er-1-6/

NVIDIA and Global Robotics Leaders Take Physical AI to the Real World

(NVIDIA) NVIDIA is partnering with the global robotics ecosystem — including leading robot brain developers, industrial robot giants and humanoid pioneers — to power production-scale physical AI. NVIDIA also unveiled new NVIDIA Isaac™ simulation frameworks and new NVIDIA Cosmos™ and NVIDIA Isaac GR00T open models for the industry to develop, train and deploy the next generation of intelligent robots. Industry leaders building on the NVIDIA platform include ABB Robotics, AGIBOT, Agility, FANUC, Figure, Hexagon Robotics, KUKA, Skild AI, Universal Robots, World Labs and YASKAWA. – https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-and-Global-Robotics-Leaders-Take-Physical-AI-to-the-Real-World/