{"version":"https://jsonfeed.org/version/1.1","title":"Policy briefings","description":"Regulatory and governance coverage for AI, technology operations, privacy, safety, and public-sector decisions.","home_page_url":"https://guidances.org/topic/policy","feed_url":"https://guidances.org/topic/policy/feed.json","language":"en","mock_mode":false,"items":[{"id":"b849055b-9f04-4aa1-8044-1095215ba081","url":"https://guidances.org/en/article/b849055b-9f04-4aa1-8044-1095215ba081/south-korea-s-fsc-signals-a-broader-value-up-push-linking-incentives-to-d2531d32","title":"South Korea’s FSC Signals a Broader Value-up Push, Linking Incentives to Capital Efficiency","summary":"South Korea’s Financial Services Commission says it plans to broaden the Corporate Value-up Program by pairing regulatory and tax incentives with listed-company efforts to improve capital efficiency, governance, and shareholder returns. The policy is presented as a test of whether incentives can influence corporate behavior, but the implementation details still need verification.","date_published":"2026-06-23T10:54:10.28+00:00","date_modified":"2026-07-15T13:36:26.218655+00:00","tags":["policy","South Korea FSC","Corporate Value-up Program","Korea discount","Korean equities","capital efficiency","corporate governance","shareholder returns","KOSPI","tax incentives","regulatory incentives","market policy","AI supply chain","semiconductor sector","listed companies Korea","financial services commission"],"external_url":"https://www.fsc.go.kr/eng/pr010101/82032"},{"id":"1c00f809-64eb-47ec-a039-770440af6bf8","url":"https://guidances.org/en/article/1c00f809-64eb-47ec-a039-770440af6bf8/u-s-eu-joint-technology-competition-dialogue-what-the-fourth-round-signa-7070cfd1","title":"U.S.-EU Joint Technology Competition Dialogue: What the Fourth Round Signals for AI Antitrust and Digital Market Governance","summary":"The U.S. Department of Justice, Federal Trade Commission, and European Commission convened their fourth joint technology competition policy dialogue in September 2024, addressing fair competition in digital markets, AI-related competitive issues, and merger control in digitalized economies. Though the source predates the current date by nearly two years, the institutional framework it established continues to inform active enforcement developments, transatlantic regulatory alignment, and the operating environment for AI platform builders in 2026.","date_published":"2026-06-21T01:58:41.948+00:00","date_modified":"2026-07-18T22:11:02.367232+00:00","tags":["policy","US EU technology competition policy dialogue","AI antitrust regulation 2024","DOJ FTC European Commission AI","digital markets competition policy","AI merger control","foundation model antitrust","Digital Markets Act AI","transatlantic AI regulation","AI platform competition","cloud computing antitrust","AI infrastructure regulation","미EU 기술 경쟁정책","AI 반독점 규제","디지털시장법 AI","기초 모델 경쟁"],"external_url":"https://www.ftc.gov/news-events/news/press-releases/2024/04/eu-us-hold-fourth-joint-technology-competition-policy-dialogue"},{"id":"c90be190-9e01-447d-b381-f147abc1a93d","url":"https://guidances.org/en/article/c90be190-9e01-447d-b381-f147abc1a93d/the-ftc-s-ai-partnership-probe-how-antitrust-scrutiny-is-reshaping-the-c-29df1a44","title":"The FTC's AI Partnership Probe: How Antitrust Review Is Affecting the Cloud-AI Stack","summary":"The U.S. Federal Trade Commission's Section 6(b) report examines how ties between major cloud providers and AI developers may affect access to compute, switching costs, and information flows. The report is being used as a reference point in AI infrastructure market and policy discussions.","date_published":"2026-06-20T23:00:07.181+00:00","date_modified":"2026-07-18T21:28:35.229052+00:00","tags":["policy","FTC AI partnerships report","cloud AI antitrust","Section 6(b) FTC","AI compute concentration","cloud switching costs AI","AI infrastructure regulation","hyperscaler AI investment scrutiny","FTC cloud competition","AI market structure policy","AI antitrust 2025","cloud AI bundling regulation","AI developer cloud lock-in","FTC 6b report AI","AI infrastructure market competition","cloud provider AI equity stakes"],"external_url":"https://www.ftc.gov/policy/advocacy-research/tech-at-ftc/2025/01/behind-ftcs-6b-report-large-ai-partnerships-investments"},{"id":"f36b2aab-6362-4482-8533-32a1307af834","url":"https://guidances.org/en/article/f36b2aab-6362-4482-8533-32a1307af834/ftc-staff-report-on-big-tech-ai-partnerships-lock-in-input-foreclosure-a-45450301","title":"FTC Staff Report on AI Partnerships: Lock-In, Input Access, and the Emerging Antitrust Framework","summary":"The U.S. Federal Trade Commission's staff report on AI partnerships and investments, issued in January 2025 under Section 6(b) authority, raises concerns that major technology companies' AI alliances may increase customer switching costs, make access to key AI inputs more difficult for startups, and involve the sharing of sensitive competitive information. The report is serving as a reference point in regulatory discussions around cloud, foundation-model, and AI infrastructure markets.","date_published":"2026-06-20T16:32:54.579+00:00","date_modified":"2026-07-03T03:48:53.290651+00:00","tags":["policy","FTC AI partnerships report","big tech antitrust AI","AI lock-in competition","Section 6b FTC study","AI input foreclosure","cloud AI regulation","foundation model antitrust","AI startup competition policy","hyperscaler AI regulation","FTC AI market study 2025","AI infrastructure competition","AI partnership regulation"],"external_url":"https://www.ftc.gov/news-events/news/press-releases/2025/01/ftc-issues-staff-report-ai-partnerships-investments-study"},{"id":"cf57e42d-38cf-4d15-8266-01121da3c01e","url":"https://guidances.org/en/article/cf57e42d-38cf-4d15-8266-01121da3c01e/amodei-and-hassabis-push-for-u-s-led-ai-coalition-at-g7-what-the-governa-3aff4488","title":"Amodei and Hassabis Raise U.S.-Led AI Coalition Idea at G7: What the Governance Signal Means for Markets and Builders","summary":"A CNBC report said Anthropic CEO Dario Amodei and Google DeepMind CEO Demis Hassabis raised the idea of a U.S.-led AI coalition during a closed-door G7 meeting in France. The episode is a policy signal rather than a product or earnings event, and it suggests AI governance is moving onto the diplomatic agenda. The precise language and any formal follow-up remain unconfirmed.","date_published":"2026-06-19T00:35:44.47+00:00","date_modified":"2026-07-18T19:29:35.355654+00:00","tags":["policy","AI governance","G7 summit AI","Anthropic Dario Amodei","Google DeepMind Demis Hassabis","U.S.-led AI coalition","AI policy standards","AI regulation international","Alphabet AI policy","AI compliance costs","AI infrastructure policy"],"external_url":"https://www.cnbc.com/2026/06/17/anthropic-amodei-google-hassabis-us-ai-coalition-g7.html"},{"id":"7b220aea-8cbf-45e7-beca-e47acaabf60f","url":"https://guidances.org/en/article/7b220aea-8cbf-45e7-beca-e47acaabf60f/anthropic-s-claude-mythos-5-and-fable-5-hit-a-90-minute-export-control-u-dd1a983e","title":"Anthropic's Claude Mythos 5 and Fable 5 Subject to U.S. Export Control Directive — What It Means for AI Operators","summary":"Reports said the U.S. government delivered an export control directive to Anthropic on Friday afternoon requesting restrictions on foreign-national access. The episode highlights how export control tools could be applied to frontier AI products and what that may mean for global deployment, enterprise contracts, and regulatory risk management.","date_published":"2026-06-18T00:06:43.098+00:00","date_modified":"2026-07-18T20:21:54.856613+00:00","tags":["policy","Anthropic Claude Mythos 5 export control","Fable 5 AI model US export restriction","AI export controls Trump administration","frontier AI regulatory risk","AI model access foreign nationals","BIS AI model classification","AI platform compliance risk","Claude Mythos 5 shutdown","AI diffusion rule","enterprise AI contract force majeure"],"external_url":"https://www.theverge.com/ai-artificial-intelligence/950412/anthropic-trump-adminstration-claude-mythos-fable-5-export-controls"},{"id":"2c274b97-1e4f-46c6-8b38-5318f84b0f24","url":"https://guidances.org/en/article/2c274b97-1e4f-46c6-8b38-5318f84b0f24/china-s-export-role-and-u-s-ai-capex-highlight-a-more-interdependent-sup-41d5af78","title":"China’s Export Role and U.S. AI Capex Highlight a More Interdependent Supply Chain","summary":"A CNBC snippet quotes Eurasia Group’s Dan Wang as arguing that China’s exports remain central to the global economy and that rising U.S. AI capital spending may also affect China through AI-related exports. This analysis stays within the available metadata and examines the supply-chain, semiconductor, capex, and policy implications for markets.","date_published":"2026-06-16T12:41:33.06+00:00","date_modified":"2026-07-02T01:23:08.993085+00:00","tags":["policy","China exports","AI capex","supply chain","semiconductors","data center infrastructure","trade policy","export controls","global economy","market context","Eurasia Group"],"external_url":"https://www.cnbc.com/video/2026/06/16/china-exports-benefiting-greatly-us-ai-capex-spending-eurasia-group.html"},{"id":"ba58cfbb-f65b-4a44-bbb7-9b2320df785f","url":"https://guidances.org/en/article/ba58cfbb-f65b-4a44-bbb7-9b2320df785f/korea-s-msci-moment-meets-a-volatility-test-515d8e21","title":"Korea’s MSCI Moment Meets a Volatility Test","summary":"Bloomberg’s snippet says South Korea’s equity market is again drawing attention for a possible path toward MSCI developed-market status. The same note also flags a sharp rise in volatility and repeated exchange safeguards. The market question is less about the headline milestone itself than about the transmission channel: how index expectations, foreign flows, and AI-linked large caps may interact with policy, liquidity, and benchmark rebalancing.","date_published":"2026-06-15T16:11:08.093+00:00","date_modified":"2026-06-28T10:54:55.146854+00:00","tags":["policy","South Korea stock market","MSCI developed market status","KOSPI","AI stocks","semiconductor demand","market volatility","foreign inflows","index rebalancing","market structure","policy context"],"external_url":"https://www.bloomberg.com/news/articles/2026-06-14/world-s-hottest-stock-market-turns-attention-to-msci-moment"},{"id":"e1f1571a-95eb-4e59-9a78-3ccc2436a8d8","url":"https://guidances.org/en/article/e1f1571a-95eb-4e59-9a78-3ccc2436a8d8/u-s-ai-regulation-debates-intensify-ahead-of-2026-midterm-elections-impl-da97caee","title":"U.S. AI Regulation Debate Draws Attention Ahead of 2026 Midterm Elections: Rep. Gottheimer's Remarks and Market Watchpoints","summary":"U.S. Representative Josh Gottheimer (D-NJ) appeared on CNBC and noted that discussions about artificial intelligence (AI) regulation are continuing ahead of the 2026 midterm elections. The remarks indicate that AI policy remains an important topic in Congress and during the election cycle. Market participants are watching for additional signals on the direction and timing of regulation.","date_published":"2026-06-15T10:57:52.775+00:00","date_modified":"2026-07-08T00:40:49.463747+00:00","tags":["policy","AI regulation","Josh Gottheimer","2026 midterm elections","US policy","AI governance","tech policy","regulatory uncertainty","AI industry implications","legislative process","political dynamics","market impact AI","investment in AI","tech sector regulation"],"external_url":"https://www.cnbc.com/video/2026/06/11/rep-josh-gottheimer-on-regulating-ai-2026-midterm-elections.html"},{"id":"1880536f-5831-48c2-b3a0-966fe633f09d","url":"https://guidances.org/en/article/1880536f-5831-48c2-b3a0-966fe633f09d/u-s-bank-regulators-tighten-scrutiny-of-ai-use-in-finance-shifting-atten-f22573b8","title":"U.S. Bank Regulators Increase Scrutiny of AI Use in Finance, with Controls and Governance in Focus","summary":"Reuters reports that U.S. bank regulators are increasing scrutiny of how financial firms use artificial intelligence. The focus is not on AI adoption itself, but on operating controls: data access, governance, third-party vendors, and use in higher-risk functions such as lending, know-your-customer checks, and sanctions screening. This suggests that discussion of AI in finance is moving from technological performance to operational control.","date_published":"2026-06-15T07:52:09.743+00:00","date_modified":"2026-07-04T06:04:54.524141+00:00","tags":["policy","AI regulation","bank regulators","financial services AI","OCC","Federal Reserve","governance controls","third-party vendor risk","KYC automation","sanctions screening","lending AI","financial technology compliance","AI auditability","responsible AI in finance"],"external_url":"https://www.reuters.com/business/finance/us-bank-regulators-ramp-up-scrutiny-ai-use-financial-companies-2026-06-12"},{"id":"071344ea-647d-4d03-8e79-2d663b2554fe","url":"https://guidances.org/en/article/071344ea-647d-4d03-8e79-2d663b2554fe/the-ai-oversight-gap-may-become-a-durable-policy-legacy-df26a354","title":"The AI oversight gap may become a durable policy legacy","summary":"Axios reports that U.S. AI governance may be shaped for an extended period less by Congress than by the executive branch, state governments, and the courts. The central issue is not only whether AI should be regulated, but which institution will set the rules and how that process will affect companies operating across jurisdictions.","date_published":"2026-06-15T07:30:21.899+00:00","date_modified":"2026-07-03T03:13:16.870543+00:00","tags":["policy","AI regulation","US Congress","AI governance","state AI rules","executive branch policy","technology policy","national security and AI","AI compliance"],"external_url":"https://www.axios.com/2026/06/13/ai-oversight-federal-states-courts"},{"id":"501aca60-7899-4780-83d8-a729a2819fe3","url":"https://guidances.org/en/article/501aca60-7899-4780-83d8-a729a2819fe3/u-s-tech-and-work-policy-landscape-algorithmic-management-regulation-and-d259571c","title":"U.S. Tech and Work Policy Landscape: Algorithmic Management Regulation and AI Surveillance Limits Take Center Stage","summary":"A policy guide published by the UC Berkeley Labor Center maps current U.S. policy proposals on algorithmic management, worker notification requirements, AI-driven surveillance, and education-sector AI limits. The document outlines policy discussions around balancing worker protections with technological innovation as AI-powered workforce management tools expand.","date_published":"2026-06-15T06:49:25.337+00:00","date_modified":"2026-07-01T22:20:28.168379+00:00","tags":["policy","algorithmic management regulation","AI worker surveillance","U.S. tech labor policy","worker notification AI","education sector AI limits","Berkeley Labor Center","AI transparency requirements","workforce management AI compliance","AI policy implications","regulatory compliance AI"],"external_url":"https://laborcenter.berkeley.edu/tech-and-work-policy-guide"},{"id":"33c4f06c-134a-435b-aa04-168fbfc99409","url":"https://guidances.org/en/article/33c4f06c-134a-435b-aa04-168fbfc99409/european-union-publishes-code-of-practice-on-ai-generated-content-transp-6a007099","title":"European Union Publishes Code of Practice on AI-Generated Content Transparency, Effective August 2026","summary":"The European Commission has published a voluntary Code of Practice on transparency for AI-generated content. The code takes effect on 2 August 2026 and addresses marking, labeling, and detection for AI-generated content, including deepfakes and certain AI-generated publications. Developers and platform operators may review the related requirements.","date_published":"2026-06-15T00:19:50.796+00:00","date_modified":"2026-07-02T00:09:58.311498+00:00","tags":["policy","EU AI Act","AI-generated content transparency","Code of Practice AI","Article 50 AI Act","deepfake regulation","AI watermarking","AI labeling requirements","European Commission AI policy","generative AI compliance","AI content detection","C2PA standard","AI transparency obligations"],"external_url":"https://digital-strategy.ec.europa.eu/en/policies/code-practice-ai-generated-content"},{"id":"ad92f914-61e4-4170-97d0-c65228164eae","url":"https://guidances.org/en/article/ad92f914-61e4-4170-97d0-c65228164eae/anthropic-publishes-core-ai-safety-position-acknowledges-gap-in-training-3c691720","title":"Anthropic Publishes Core AI Safety Position, Says Reliable Training Methods for Very Powerful Systems Are Not Yet Established","summary":"Anthropic has released an official statement on AI safety, saying that reliable methods for training very powerful AI systems to behave safely are not yet established. The company says rapid AI progress could increase deployment pressure.","date_published":"2026-06-14T21:34:18.268+00:00","date_modified":"2026-06-28T11:07:10.993601+00:00","tags":["policy","Anthropic","AI safety","AI alignment","Constitutional AI","AI deployment risks","catastrophic AI risks","AI training methods","competitive AI race","AI governance","goal misalignment","AI regulation","Claude model","AI transparency"],"external_url":"https://www.anthropic.com/news/core-views-on-ai-safety"},{"id":"6ab6c619-9c4c-4caf-b923-31a2963d8485","url":"https://guidances.org/en/article/6ab6c619-9c4c-4caf-b923-31a2963d8485/white-house-proposes-ai-legislative-framework-with-sector-specific-overs-7f206b3e","title":"White House Proposes AI Legislative Framework with Sector-Specific Oversight and Federal Preemption","summary":"The White House has released a National Policy Framework for Artificial Intelligence containing legislative recommendations that propose sector-specific oversight, age assurance for minors, child safety features, and federal preemption of certain state AI laws. The framework outlines a federal approach to AI regulation.","date_published":"2026-06-14T13:53:33.208+00:00","date_modified":"2026-07-09T12:24:42.794868+00:00","tags":["policy","White House AI policy","AI legislative recommendations","sector-specific AI oversight","age assurance requirements","child safety AI features","federal preemption state AI laws","AI regulation United States","National Policy Framework AI","COPPA modernization","AI compliance requirements"],"external_url":"https://www.whitehouse.gov/wp-content/uploads/2026/03/03.20.26-National-Policy-Framework-for-Artificial-Intelligence-Legislative-Recommendations.pdf"},{"id":"f7770824-6c06-4cae-b239-2392bade2155","url":"https://guidances.org/en/article/f7770824-6c06-4cae-b239-2392bade2155/anthropic-reiterates-preference-for-a-federal-ai-framework-over-state-by-c082b32f","title":"Anthropic reiterates preference for a federal AI framework over state-by-state rules","summary":"Anthropic has restated its view that the social effects of AI should be addressed through policy design and that a single federal standard is preferable to a fragmented set of state rules. The message highlights how predictability and consistency can influence product design, compliance costs, market expansion, and infrastructure investment.","date_published":"2026-06-14T09:26:39.997+00:00","date_modified":"2026-07-02T02:09:12.876741+00:00","tags":["policy","Anthropic","AI policy","federal AI regulation","state AI laws","AI governance","compliance","enterprise AI","model safety","United States AI policy","AI infrastructure"],"external_url":"https://www.anthropic.com/news/statement-dario-amodei-american-ai-leadership"},{"id":"6f9df695-acf0-490a-a8cd-4c6318779507","url":"https://guidances.org/en/article/6f9df695-acf0-490a-a8cd-4c6318779507/the-state-of-ai-red-teaming-diverse-practices-amid-absence-of-standards-07ec8819","title":"The State of AI Red-Teaming: Diverse Practices Amid Absence of Standards","summary":"Georgetown University's Center for Security and Emerging Technology (CSET) has published an analysis of AI red-teaming methodologies. While red-teaming is gaining attention as an evaluation technique to discover flaws and vulnerabilities in AI systems, practices vary widely across organizations and few established standards exist. This raises challenges for consistency and comparability in AI safety evaluation.","date_published":"2026-06-14T04:42:09.256+00:00","date_modified":"2026-06-28T11:00:07.355964+00:00","tags":["policy","AI red-teaming","AI safety evaluation","AI vulnerability testing","CSET Georgetown","AI threat models","AI security standards","LLM safety testing","adversarial AI testing","AI risk management","AI evaluation methodology"],"external_url":"https://cset.georgetown.edu/article/ai-red-teaming-design-threat-models-and-tools"},{"id":"dbd71330-d5db-46f8-9bef-de44f1e0c941","url":"https://guidances.org/en/article/dbd71330-d5db-46f8-9bef-de44f1e0c941/oecd-reports-growing-ai-use-in-public-procurement-to-cut-costs-and-impro-e75a8c67","title":"OECD Reports Growing AI Use in Public Procurement","summary":"The Organisation for Economic Co-operation and Development (OECD) has published a report examining how public entities are deploying artificial intelligence in procurement operations. The report says governments are using AI to reduce costs and processing timelines, enhance transparency, and broaden vendor access. AI applications span spend analysis, risk management, supplier scouting, and contract management, prompting policymakers and procurement officials to focus on governance frameworks for these systems.","date_published":"2026-06-14T04:42:08.576+00:00","date_modified":"2026-07-03T03:48:55.284017+00:00","tags":["policy","OECD AI procurement","public procurement artificial intelligence","AI government spending","procurement transparency AI","supplier scouting AI","contract management AI","AI governance public sector","OECD Governing with AI","procurement risk management AI","public sector AI policy"],"external_url":"https://www.oecd.org/en/publications/2025/06/governing-with-artificial-intelligence_398fa287/full-report/ai-in-public-procurement_2e095543.html"}]}