{"id":378,"date":"2025-02-03T16:57:58","date_gmt":"2025-02-03T16:57:58","guid":{"rendered":"https:\/\/pacific.ai\/staging\/3667\/?page_id=378"},"modified":"2025-12-19T15:09:46","modified_gmt":"2025-12-19T15:09:46","slug":"ai-policies","status":"publish","type":"page","link":"https:\/\/pacific.ai\/staging\/3667\/ai-policies\/","title":{"rendered":"AI Policies"},"content":{"rendered":"\n\r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n <\/mask>\r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol> \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n \r\n \r\n \r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n <\/g><\/svg>\r\n <\/symbol>\r\n \r\n <\/svg>\r\n <\/symbol>\r\n \r\n
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Get Free AI<\/strong> Governance Policies<\/h1>\n

Operate legally anywhere in the US, EU, and 30+ Countries by adopting a unified set of policies that conform to 250+ laws, regulations, and industry standards.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Are You in Compliance with All Relevant AI Standards, Regulation, and Legislation?<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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AI Risk Management Framework<\/p>\n <\/div>\n

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AI Risk Management Framework – Generative AI Profile<\/p>\n <\/div>\n

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Privacy Framework (PF)<\/p>\n <\/div>\n

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Cybersecurity Framework (CSF)<\/p>\n <\/div>\n

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ISO\/IEC 42001:2023 AI management systems<\/p>\n <\/div>\n

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ISO\/IEC 23894:2023 Guidance on AI risk management<\/p>\n <\/div>\n

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5259-4:2024 Data quality for analytics and machine learning<\/p>\n <\/div>\n

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ISO\/IEC NP TS 12831 Testing for AI Systems<\/p>\n <\/div>\n

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Assurance Standards Guide<\/p>\n <\/div>\n

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Draft Guidance for Developers of AI-Enabled Medical Devices<\/p>\n <\/div>\n

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Guidance on AI in Employment Law<\/p>\n <\/div>\n

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+More<\/p>\n <\/div>\n <\/div> \n <\/div>\n<\/div>\n<\/div>\n\n\n\n

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01<\/div>AI Risk Management Frameworks and Standards<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n
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02<\/div>Healthcare AI Evaluation Frameworks<\/div>\n<\/div>\n<\/div>\n\n\n\n
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CHAI<\/div>\n

Coalition for Health AI. Assurance Standards Guide & Applied Model Card<\/p>\n <\/div>\n

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FUTURE-AI<\/div>\n

International consensus guideline for trustworthy and deployable artificial intelligence in healthcare<\/p>\n <\/div>\n

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QUEST<\/div>\n

Framework for human evaluation of LLMs<\/p>\n <\/div>\n

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CLAIM<\/div>\n

Checklist for Artificial Intelligence in Medical Imaging (CLAIM)<\/p>\n <\/div>\n

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TEHAI<\/div>\n

Translational Evaluation of Healthcare AI<\/p>\n <\/div>\n

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MEDIC<\/div>\n

Towards a Framework for Evaluating LLMs in Clinical Applications<\/p>\n <\/div>\n

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STARD-AI<\/div>\n

Reporting Guidelines for AI Diagnostic Accuracy Studies<\/p>\n <\/div>\n

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CONSORT-AI<\/div>\n

Guidelines for Reporting AI in Clinical Trials<\/p>\n <\/div>\n

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MI-CLAIM-GEN<\/div>\n

Reporting Guidelines for AI Diagnostic Accuracy Studies<\/p>\n <\/div>\n

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AMA<\/div>\n

Principles of augmented intelligence<\/p>\n <\/div>\n

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WHO<\/div>\n

Ethics and governance of artificial intelligence for health<\/p>\n <\/div>\n

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CRAFT-MD<\/div>\n

Conversational Reasoning Assessment Framework for Testing in Medicine<\/p>\n <\/div>\n <\/div>\n

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TRIPOD-LLM<\/div>\n

Transparent Reporting for Prognostic and Diagnostic Models<\/p>\n <\/div>\n

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TRIPOD-AI<\/div>\n

Updated Guidance for Reporting Clinical Prediction Models<\/p>\n <\/div>\n

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SPIRIT-AI<\/div>\n

Guidelines for AI-Related Clinical Trial Protocols<\/p>\n <\/div>\n

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WHO<\/div>\n

Generating Evidence for AI-Based Medical Devices<\/p>\n <\/div>\n

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HAIRA<\/div>\n

Advancing Healthcare AI Governance: A Comprehensive Maturity Model<\/p>\n <\/div>\n

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TPLC<\/div>\n

Total Product Lifecycle Framework for Healthcare AI\/ML<\/p>\n <\/div>\n

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OPTICA<\/div>\n

Organizational Perspective Checklist for AI Solutions Adoption<\/p>\n <\/div>\n

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SALIENT<\/div>\n

End-to-End Clinical AI Implementation Framework<\/p>\n <\/div>\n

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AHRQ & AIMHD<\/div>\n

Guiding Principles to Address Algorithm Bias<\/p>\n <\/div>\n

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Model Facts Label for HTI-1<\/div>\n

Compliance by Duke Institute for Health Innovation<\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n

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Title VII of the Civil Rights Act of 1964<\/p>\n <\/div> \n

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Section 1981 of the Civil Rights Act of 1866<\/p>\n <\/div> \n

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The Equal Pay Act of 1963<\/p>\n <\/div>\n

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The Age Discrimination in Employment Act of 1967<\/p>\n <\/div> \n

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The Immigration Reform and Control Act<\/p>\n <\/div> \n

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Titles I and V of the Americans with Disabilities Act of 1990 (ADA)<\/p>\n <\/div> \n

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The Pregnant Workers Fairness Act<\/p>\n <\/div> \n

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The Uniformed Services Employment and Reemployment Rights Act<\/p>\n <\/div> \n

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The Genetic Information Nondiscrimination Act<\/p>\n <\/div> \n

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ACA 1557: Nondiscrimination in Health Programs and Activities<\/strong><\/p>\n <\/div> \n

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HHS HTI-1: Health Data, Technology, and Interoperability<\/strong><\/p>\n <\/div>\n

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EEOC Guidance on the Use of AI to Assess Job Applicants and Employees<\/p>\n <\/div> \n <\/div>\n

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CFPB Guidance on Black-Box Credit Models<\/p>\n <\/div> \n

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The Take it Down Act (S.146)<\/p>\n <\/div> \n

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Memorandum on Accelerating Federal Use of AI<\/p>\n <\/div> \n

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Memorandum on Driving Efficient Acquisition of AI in Government<\/p>\n <\/div> \n

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FDA Draft Guidance on Considerations for the Use of AI to Support Regulatory Decision-Making for Drug and Biological Products<\/p>\n <\/div> \n

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FDA Draft Guidance for Developers of AI-Enabled Medical Devices<\/p>\n <\/div>\n

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FDA Final Rule codifying 21 CFR Part 892 \u2014 \u201cClassification of the Radiological Computer-Assisted Detection and Diagnosis Software\u201d<\/p>\n <\/div>\n

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Executive Order on Removing Barriers to American Leadership in AI<\/p>\n <\/div>\n

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America\u2019s AI Action Plan<\/p>\n <\/div>\n

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More+<\/p>\n <\/div> \n <\/div>\n <\/div>\n<\/div>\n<\/div>\n\n\n\n

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03<\/div>US National Legislation & Regulation<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n
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04<\/div>US State & Local Legislation<\/div>\n<\/div>\n<\/div>\n\n\n\n
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New York City<\/em> Local Law 144: Automated Employment Decision Tools<\/strong><\/p>\n <\/div>\n

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Illinois AI Video Interview Act<\/p>\n <\/div> \n

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Virginia<\/em> HB 747: Artificial Intelligence Developer Act<\/strong><\/p>\n <\/div> \n

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Colorado<\/em> SB 21-169: Restrict Insurers’ Use of External Consumer Data<\/strong><\/p>\n <\/div> \n

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Colorado<\/em> SB24-205: Consumer Protections for Artificial Intelligence<\/strong><\/p>\n <\/div> \n

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Illinois<\/em> HB 3773: Illinois Human Rights Act<\/strong><\/p>\n <\/div> \n

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California<\/em> AB2013: Training Data Transparency<\/strong><\/p>\n <\/div> \n

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California<\/em> B2855: Artificial Intelligence<\/strong><\/p>\n <\/div> \n

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California<\/em> SB-896: Generative Artificial Intelligence Accountability Act<\/strong><\/p>\n <\/div> \n

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California AI Transparency Act<\/p>\n <\/div> \n

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Texas HB 149: Responsible Artificial Intelligence Governance Act<\/p>\n <\/div> \n

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Texas SB1964: regulation and use of artificial intelligence systems and the management of data by governmental entities<\/p>\n <\/div> \n <\/div>\n

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California SB-942: AI Transparency Act<\/p>\n <\/div> \n

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New York SB 822: Disclosure of automated employment decision-making tools and maintaining an artificial intelligence inventory<\/p>\n <\/div> \n

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New York SB 7543: Legislative oversight of automated decision-making in government act<\/p>\n <\/div> \n

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Maine HP 1154: Ensure Transparency in Consumer Transactions Involving Artificial Intelligence<\/p>\n <\/div> \n

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Montana HB 178: Limit government use of AI systems<\/p>\n <\/div> \n

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+More<\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n

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Arizona <\/em> HB 2175:Prohibition of the use of AI to deny claims involving medical judgment<\/strong><\/p>\n <\/div>\n

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California<\/em> SB 1120: Regulation of health plans using AI for utilization review<\/strong><\/p>\n <\/div> \n

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California<\/em> AB 3030: Requirement of AI-generated patient communications to include a disclaimer and instructions to contact a human provider<\/strong><\/p>\n <\/div> \n

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Maryland<\/em> HB 820: Health Insurance – Utilization Review – Use of Artificial Intelligence<\/strong><\/p>\n <\/div> \n

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Texas<\/em> SB1188: Prohibition of the offshoring of electronic medical records, and implement safeguards for patient data<\/strong><\/p>\n <\/div> \n

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Texas<\/em> SB 815: use of certain automated systems in, and certain adverse determinations made with the health benefit claims process<\/strong><\/p>\n <\/div> \n

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Nebraska<\/em> LB 77: Ensuring Transparency in Prior Authorization Act and provide for insurance and Medicaid coverage of biomarker testing<\/strong><\/p>\n <\/div> \n

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Nevada<\/em> AB 406: Prohibition of AI providers from indicating that an AI system can provide professional mental or behavioral health care<\/strong><\/p>\n <\/div> \n

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Oregon<\/em> HB 2748: Prohibition of non-human entities to use the title of nurse or similar titles<\/strong><\/p>\n <\/div> \n

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Utah<\/em> HB 452: Suppliers of mental health chatbots are required to disclose that the chatbot is AI technology<\/strong><\/p>\n <\/div> \n

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Virginia<\/em> 32.1-127: Patient access to intelligent personal assistant in hospitals, nursing homes, and certified nursing facilities.<\/strong><\/p>\n <\/div> \n <\/div>\n <\/div>\n<\/div>\n<\/div>\n\n\n\n

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05<\/div>US State & Local Legislation \u2013 Healthcare AI Laws<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n
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06<\/div>US State & Local Legislation \u2013 Privacy Laws<\/div>\n<\/div>\n<\/div>\n\n\n\n
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California<\/em> Consumer Privacy Act<\/p>\n <\/div>\n

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California<\/em> Privacy Rights Act<\/p>\n <\/div> \n

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Texas<\/em> Data Privacy and Security Act<\/p>\n <\/div> \n

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Colorado<\/em> Privacy Act<\/p>\n <\/div> \n

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Delaware<\/em> Personal Data Privacy Act<\/p>\n <\/div> \n

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Connecticut<\/em> Data Privacy Act<\/p>\n <\/div> \n

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Virginia<\/em> Consumer Data Privacy Act<\/p>\n <\/div> \n

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Utah<\/em> Consumer Privacy Act<\/p>\n <\/div> \n

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Utah<\/em> AI Policy Act<\/p>\n <\/div>\n

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Montana<\/em> Consumer Data Privacy Ac<\/p>\n <\/div> \n

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New Hampshire<\/em> SB 255: Expectation of privacy<\/p>\n <\/div> \n

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Oregon<\/em> SB619: Protections for the personal data of consumers<\/strong><\/p>\n <\/div> \n <\/div>\n

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Minnesota<\/em> HF2309:Consumer rights provided regarding personal data<\/strong><\/p>\n <\/div>\n

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Minnesota<\/em> HF4757:Minnesota Consumer Data Privacy Act<\/strong><\/p>\n <\/div>\n

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Indiana<\/em> SB5:Consumer data protection<\/strong><\/p>\n <\/div>\n

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Colorado<\/em> SB22-113:Artificial Intelligence Facial Recognition<\/strong><\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n

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California Bolstering Online Transparency Act<\/p>\n <\/div>\n

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California<\/em> AB2602: Contracts against public policy<\/strong><\/p>\n <\/div>\n

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California<\/em> AB2839: Elections: deceptive media in advertisements<\/strong><\/p>\n <\/div>\n

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California<\/em> AB1836: Use of likeness: digital replica<\/strong><\/p>\n <\/div>\n

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Colorado<\/em> HB1147: Candidate Election Deepfake Disclosures<\/strong><\/p>\n <\/div>\n

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Florida<\/em> HB 919: Artificial Intelligence Use in Political Advertising<\/strong><\/p>\n <\/div>\n

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Florida<\/em> SB 1798: Sexually Related Offenses<\/strong><\/p>\n <\/div>\n

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Georgia<\/em> \u00a716-11-90: Prohibition on Nude or Sexually Explicit Electronic Transmissions<\/strong><\/p>\n <\/div>\n

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Hawaii<\/em> SB 309: Privacy in the First Degree<\/strong><\/p>\n <\/div>\n

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Illinois<\/em> HB2123: Nonconsensual Dissemination of Private Sexual Images Act<\/strong><\/p>\n <\/div>\n

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Illinois<\/em> HB3773: Limit Predictive Analytics Use<\/strong><\/p>\n <\/div>\n

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Minnesota<\/em> HB1370: Nonconsensual dissemination of deep fake sexual images<\/strong><\/p>\n <\/div>\n <\/div>\n

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New York<\/em> S1042A: unlawful dissemination or publication of intimate images<\/strong><\/p>\n <\/div>\n

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South Dakota:<\/em> SB120: Record, Privacy, Manipulated image<\/strong><\/p>\n <\/div>\n

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Texas:<\/em> \u00a721.165: Unlawful Production or Distribution of Certain Videos<\/strong><\/p>\n <\/div>\n

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Texas:<\/em> SB441: Unlawful creation of sexually explicit deepfakes<\/strong><\/p>\n <\/div>\n

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Texas:<\/em> HB581: Age verification requirement or prohibition of AI-generated sexual material harmful to minors<\/strong><\/p>\n <\/div>\n

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Virginia:<\/em> \u00a7 18.2-386.2: Unlawful dissemination or sale of images of another<\/p>\n <\/div>\n

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Nebraska<\/em> LB 383: Prohibition of Generated Child Sexual Abuse Material<\/strong><\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n\n\n\n

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07<\/div>US State & Local Legislation \u2013 Deepfake Laws<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n
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08<\/div>European Union Legislation<\/div>\n<\/div>\n<\/div>\n\n\n\n
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The European Union\u2019s AI Act<\/p>\n <\/div>\n

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The European\u2019s Union General-Purpose Code of Practice<\/p>\n <\/div> \n

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GDPR<\/p>\n <\/div> \n

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Digital Services Act<\/p>\n <\/div> \n

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Digital Markets Act<\/p>\n <\/div> \n

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Ethics guidelines for trustworthy AI<\/p>\n <\/div> \n

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Guidelines on AI system definition<\/p>\n <\/div>\n

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Guidelines on prohibited AI practices<\/p>\n <\/div> \n

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Guidelines for providers of general-purpose AI models<\/p>\n <\/div> \n <\/div> \n <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n

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OpenAI Usage Policy<\/p>\n <\/div>\n

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Anthropic Usage Policy<\/p>\n <\/div>\n

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Microsoft Enterprise AI Services Code of Conduct<\/p>\n <\/div>\n

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AWS Responsible AI Policy<\/p>\n <\/div>\n

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Google Generative AI Prohibited Use Policy<\/p>\n <\/div>\n

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Meta Seamless Acceptable Use Policy<\/p>\n <\/div>\n

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Cohere Labs Acceptable Use Policy<\/p>\n <\/div>\n

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John Snow Labs AI Acceptable Use Policy<\/p>\n <\/div>\n

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Mistral Usage Policy<\/p>\n <\/div>\n

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Snowflake Acceptable Use Policy<\/p>\n <\/div>\n

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Databricks Open Model Acceptable Use Policy<\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n\n\n\n

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09<\/div>Acceptable Use Policies<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n
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10<\/div>Unifying the Regulatory Requirements of 30+ countries<\/div>\n<\/div>\n<\/div>\n\n\n\n
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United States<\/p>\n <\/div>\n

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Germany<\/p>\n <\/div>\n

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India<\/p>\n <\/div> \n

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Japan<\/p>\n <\/div> \n

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United Kingdom<\/p>\n <\/div> \n

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France<\/p>\n <\/div> \n

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Italy<\/p>\n <\/div> \n

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Canada<\/p>\n <\/div> \n

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Brazil<\/p>\n <\/div> \n

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Mexico<\/p>\n <\/div> \n

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Australia<\/p>\n <\/div> \n

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Spain<\/p>\n <\/div> \n

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Indonesia<\/p>\n <\/div> \n

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Netherlands<\/p>\n <\/div> \n

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Ireland<\/p>\n <\/div> \n

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Saudi Arabia<\/p>\n <\/div> \n

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Turkey<\/p>\n <\/div> \n

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Switzerland<\/p>\n <\/div> \n

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Taiwan<\/p>\n <\/div> \n

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Sweden<\/p>\n <\/div> \n

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Poland<\/p>\n <\/div> \n

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Belgium<\/p>\n <\/div> \n

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Thailand<\/p>\n <\/div> \n

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Austria<\/p>\n <\/div> \n

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Singapore<\/p>\n <\/div> \n

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United Arab Emirates<\/p>\n <\/div> \n

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South Korea<\/p>\n <\/div> \n

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Israel<\/p>\n <\/div> \n

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Argentina<\/p>\n <\/div> \n

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Norway<\/p>\n <\/div> \n <\/div> \n <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n

\n \n \n \n \n \n <\/radialGradient>\n <\/defs>\n<\/svg><\/figure>\n
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How do you stay up to date with
evolving AI regulation and legislation?<\/h2>\n
We update the AI Governance policies for you, every quarter, for free<\/div>\n
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Pacific AI Governance Policy Suite: Q1 2025 Release Notes<\/p>\n Read more \u2192<\/span><\/strong>\n

<\/g><\/svg><\/figure>\n <\/a>\n \n
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Pacific AI Governance Policy Suite: Q2 2025 Release Notes<\/p>\n Read more \u2192<\/span><\/strong>\n

<\/g><\/svg><\/figure>\n <\/a>\n \n
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Pacific AI Governance Policy Suite: Q3 2025 Release Notes<\/p>\n Read more \u2192<\/span><\/strong>\n

<\/g><\/svg><\/figure>\n <\/a>\n \n
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Pacific AI Governance Policy Suite: Q4 2025 Release Notes<\/p>\n Read more \u2192<\/span><\/strong>\n

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Choose an Enterprise Solution That Covers the Entire AI System Lifecycle<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Track AI Legislation<\/p>\n\t<\/div>\n\t

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Update a Unified Set of Controls<\/p>\n\t<\/div>\n\t

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Track Regulator Guidelines<\/p>\n\t<\/div>\n\t

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Track Acceptable Use AI Policies<\/p>\n\t<\/div>\n\t

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Provide Templates for Audit & Governance Artifacts<\/p>\n\t<\/div>\n\t

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Track AI Governance Frameworks & Standards<\/p>\n\t<\/div>\n <\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/section>\n\n\n\n

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Gamechanger of the Year (Artificial Intelligence) Pacific AI<\/div>\n\t\t<\/div>\n\t<\/div>\n
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\"\"<\/figure>\n\t\t<\/div>\n\t<\/div>\n <\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/section>\n\n\n\n
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\u201cPacific AI checks the box on being conflict-of-interest free, ensuring privacy and security, and supporting standardization and compliance in complex healthcare environments.\u201d<\/p>\n

Dr. Brian Anderson, President & CEO of the Coalition for Health AI<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/section>\n\n\n\n
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Get Your Organization Certified<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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Implement AI Governance<\/div>\n\t<\/div>\n
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Pass a Pacific AI Audit<\/div>\n\t<\/div>\n
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