{"library":"Blue Ocean Labs Research Library","url":"https://blueoceanlabs.io/papers","generated":"2026-11-08T10:52:50.000Z","count":4,"tags":[{"slug":"embodiment","label":"AI embodiment","description":"AI with a face or a body: avatars, digital humans, digital teammates and humanoid robots."},{"slug":"decision-support","label":"Decision support","description":"AI that helps people make decisions while the decision stays theirs — including advisors and teammates with a face."},{"slug":"policy-governance","label":"Policy & governance","description":"What laws, standards and guidance require: disclosure, consent and likeness rights, labelling, risk management and accountability."},{"slug":"security","label":"Security","description":"Impersonation, voice and face cloning, deepfake abuse, and securing AI systems and the identities behind them."},{"slug":"performance","label":"Performance","description":"What makes AI feel responsive and lifelike: latency, turn-taking, lip-sync, expression and emotional continuity, reliability."},{"slug":"psychology","label":"Psychology","description":"How people perceive and respond to human-like AI: trust, the uncanny valley, anthropomorphism, disclosure effects and attachment."}],"citation_rules":["Cite only claims supported by a paper's summary or key_points.","Say the spoken_citation aloud; show library_url in any written follow-up.","Never quote text that is not in key_points; paraphrase and point to the source.","If no paper supports a claim, say so instead of citing.","Use tags to find sources for a focus area: embodiment, decision-support, policy-governance, security, performance, psychology.","origin tells you who published a source: bol (Blue Ocean Labs), external (government, multilateral or independent), vendor (a company about its own products). When citing a vendor source, say so, e.g. \"according to the vendor's own benchmark\"."],"papers":[{"id":"BOL-R-0004","origin":"external","title":"Artificial Intelligence (AI): Implications for Size and Composition of the U.S. Armed Forces","short_title":"CRS: AI and the size and composition of the U.S. Armed Forces","authors":[],"publisher":"Congressional Research Service (CRS)","date_published":"2026-06-04","version_note":"CRS In Focus IF13241.","doc_type":"report","jurisdiction":"United States (federal; nonpartisan analysis for Congress)","tags":["decision-support","policy-governance"],"tag_labels":["Decision support","Policy & governance"],"topics":["military","workforce","decision support","human oversight","augmentation"],"summary":"A nonpartisan briefing for Congress on how AI adoption could change the size, skills and make-up of the U.S. military workforce, noting that the Defense Department frames AI as supporting people rather than replacing them.","key_points":[{"ref":"BOL-R-0004#kp-1","text":"The U.S. military mainly uses AI to analyse data and support decisions, and in logistics, maintenance, planning and personnel management."},{"ref":"BOL-R-0004#kp-2","text":"Defense Department strategy documents describe AI as designed to support personnel rather than replace them, with decision-making responsibility staying with military leaders."},{"ref":"BOL-R-0004#kp-3","text":"When the report was written, CRS had found no Defense Department statement intending AI to reduce the overall size of the military; changes are more likely to be local than force-wide."},{"ref":"BOL-R-0004#kp-4","text":"AI is more likely to change the mix of skills needed, increasing demand for data, analytical and digital skills."},{"ref":"BOL-R-0004#kp-5","text":"Responsible AI and autonomy policies may require dedicated staff for testing, validation, monitoring and governance of AI systems."}],"spoken_citation":"That comes from a 2026 Congressional Research Service report on AI and the U.S. Armed Forces — reference B-O-L R four in our research library.","reference":"Congressional Research Service (CRS) (2026). Artificial Intelligence (AI): Implications for Size and Composition of the U.S. Armed Forces. Congressional Research Service (CRS). https://www.congress.gov/crs-product/IF13241","library_url":"https://blueoceanlabs.io/papers/crs-if13241-ai-armed-forces","source_url":"https://www.congress.gov/crs-product/IF13241","pdf_url":null,"doi":null,"reviewed":false,"added":"2026-11-07"},{"id":"BOL-R-0003","origin":"external","title":"Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act)","short_title":"EU AI Act","authors":["European Parliament","Council of the European Union"],"publisher":"Official Journal of the European Union","date_published":"2024-06-13","version_note":"Published in the Official Journal on 12 July 2024. Amended by Regulation (EU) 2026/1744 of 8 July 2026; check the current consolidated text on EUR-Lex for application dates.","doc_type":"regulation","jurisdiction":"European Union (binding)","tags":["policy-governance","embodiment"],"tag_labels":["Policy & governance","AI embodiment"],"topics":["regulation","policy","transparency","deployment"],"summary":"The EU's binding, risk-based law on artificial intelligence, setting obligations for providers and deployers of AI systems according to the level of risk they pose.","key_points":[{"ref":"BOL-R-0003#kp-1","text":"It is a binding EU regulation that applies directly in every member state."},{"ref":"BOL-R-0003#kp-2","text":"It takes a risk-based approach: some practices are prohibited, high-risk systems face strict requirements, and other systems carry lighter transparency duties."},{"ref":"BOL-R-0003#kp-3","text":"It places obligations on deployers — businesses that use AI systems — not only on the companies that build them."},{"ref":"BOL-R-0003#kp-4","text":"It includes transparency duties so that people know when they are interacting with an AI system or seeing AI-generated content."},{"ref":"BOL-R-0003#kp-5","text":"It has been amended since adoption, so the consolidated version on EUR-Lex is the one to check for current dates."}],"spoken_citation":"That's set out in the EU Artificial Intelligence Act — Regulation 2024/1689 — reference B-O-L R three in our research library.","reference":"European Parliament, Council of the European Union (2024). Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union. https://eur-lex.europa.eu/eli/reg/2024/1689/oj","library_url":"https://blueoceanlabs.io/papers/eu-ai-act","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","pdf_url":null,"doi":null,"reviewed":false,"added":"2026-11-07"},{"id":"BOL-R-0001","origin":"external","title":"Artificial Intelligence Risk Management Framework (AI RMF 1.0)","short_title":"NIST AI RMF 1.0","authors":["Elham Tabassi"],"publisher":"National Institute of Standards and Technology (NIST), U.S. Department of Commerce","date_published":"2023-01-26","version_note":"Report NIST AI 100-1. Companion Generative AI Profile published separately as NIST AI 600-1.","doc_type":"framework","jurisdiction":"United States (voluntary, used internationally)","tags":["policy-governance","security"],"tag_labels":["Policy & governance","Security"],"topics":["risk management","governance","trustworthy AI"],"summary":"A voluntary framework from NIST that helps organizations identify, measure and manage the risks of AI systems they design, build, deploy or use.","key_points":[{"ref":"BOL-R-0001#kp-1","text":"The framework is voluntary — it is guidance, not regulation."},{"ref":"BOL-R-0001#kp-2","text":"It organizes AI risk work into four functions: Govern, Map, Measure and Manage."},{"ref":"BOL-R-0001#kp-3","text":"Govern is cross-cutting: it sets the culture, roles and policies that the other three functions depend on."},{"ref":"BOL-R-0001#kp-4","text":"It describes trustworthy AI as valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed."},{"ref":"BOL-R-0001#kp-5","text":"It is meant to apply across the whole AI lifecycle, including after a system is deployed."}],"spoken_citation":"That comes from the NIST AI Risk Management Framework, published by the U.S. National Institute of Standards and Technology in 2023 — reference B-O-L R one in our research library.","reference":"Elham Tabassi (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology (NIST), U.S. Department of Commerce. https://doi.org/10.6028/NIST.AI.100-1","library_url":"https://blueoceanlabs.io/papers/nist-ai-rmf-1-0","source_url":"https://www.nist.gov/itl/ai-risk-management-framework","pdf_url":null,"doi":"10.6028/NIST.AI.100-1","reviewed":false,"added":"2026-11-07"},{"id":"BOL-R-0002","origin":"external","title":"Recommendation of the Council on Artificial Intelligence (OECD AI Principles)","short_title":"OECD AI Principles","authors":[],"publisher":"Organisation for Economic Co-operation and Development (OECD)","date_published":"2019-05-22","version_note":"OECD/LEGAL/0449. Adopted 22 May 2019; AI-system definition revised 8 November 2023; further revised 3 May 2024.","doc_type":"guidance","jurisdiction":"International (OECD members and adherent countries; non-binding)","tags":["policy-governance"],"tag_labels":["Policy & governance"],"topics":["policy","governance","trustworthy AI","international"],"summary":"The first intergovernmental standard on AI: shared principles for trustworthy, human-centred AI, plus recommendations to governments on how to support it.","key_points":[{"ref":"BOL-R-0002#kp-1","text":"It was the first intergovernmental standard on artificial intelligence when adopted in 2019."},{"ref":"BOL-R-0002#kp-2","text":"It is non-binding, but adhering countries make a political commitment to it."},{"ref":"BOL-R-0002#kp-3","text":"It pairs values-based principles for AI actors with recommendations for national policy."},{"ref":"BOL-R-0002#kp-4","text":"Its definition of an 'AI system' was updated in 2023 and has influenced other frameworks, including the EU AI Act."},{"ref":"BOL-R-0002#kp-5","text":"The 2024 revision updated it to reflect general-purpose and generative AI."}],"spoken_citation":"That's from the OECD's AI Principles — the Council Recommendation on Artificial Intelligence, first adopted in 2019 and revised in 2024 — reference B-O-L R two in our research library.","reference":"Organisation for Economic Co-operation and Development (OECD) (2019). Recommendation of the Council on Artificial Intelligence (OECD AI Principles). Organisation for Economic Co-operation and Development (OECD). https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449","library_url":"https://blueoceanlabs.io/papers/oecd-ai-principles","source_url":"https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449","pdf_url":null,"doi":null,"reviewed":false,"added":"2026-11-07"}]}