[{"id": 500006, "type": "GenericWebPage", "mime_type": "text/html", "url": "https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence", "slug": "unesco", "title": "Recommendation on the Ethics of Artificial Intelligence", "snippet": "UNESCO's first-ever global standard on AI ethics \u2013 the \u2018Recommendation on the Ethics of Artificial Intelligence\u2019, adopted in 2021, is applicable to all 194 member states of UNESCO.", "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 500006, "website_id": 13584, "url": "https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence", "title": "Recommendation on the Ethics of Artificial Intelligence", "snippet": "UNESCO's first-ever global standard on AI ethics \u2013 the \u2018Recommendation on the Ethics of Artificial Intelligence\u2019, adopted in 2021, is applicable to all 194 member states of UNESCO.", "cleaned_text": null, "cleaned_text_custom_parser": null, "cleaned_text_custom_parser_2": null, "best_field": null, "enhanced": false, "date_published": null, "image": null, "num_tokens_oai_tokenizer": null, "num_tokens_gemini_tokenizer": null}, "favicon": "https://www.unesco.org/themes/custom/bunesco8/icon.svg", "state": "candidate", "enhanced": false, "answer": null, "valid_answer": false, "source_citation_index": 1, "user_web_page_id": null, "status": "not_processed", "reader": false, "rank": 1, "reason": "The source offers a global standard on AI ethics applicable to various member states, making it highly relevant for policy research."}, {"id": 494240, "type": "GenericWebPage", "mime_type": "text/html", "url": "https://iapp.org/resources/article/global-ai-legislation-tracker/", "slug": "iapp", "title": "Global AI Law and Policy Tracker - International Association of Privacy ...", "snippet": "This tracker identifies AI legislative and policy developments in a subset of jurisdictions.", "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 494240, "website_id": 2403, "url": "https://iapp.org/resources/article/global-ai-legislation-tracker/", "title": "Global AI Law and Policy Tracker - International Association of Privacy ...", "snippet": "This tracker identifies AI legislative and policy developments in a subset of jurisdictions.", "cleaned_text": null, "cleaned_text_custom_parser": null, "cleaned_text_custom_parser_2": null, "best_field": null, "enhanced": false, "date_published": null, "image": null, "num_tokens_oai_tokenizer": null, "num_tokens_gemini_tokenizer": null}, "favicon": "https://iapp.org/wp-content/themes/iapp/static/img/ui-img/icons/favicon.ico", "state": "candidate", "enhanced": false, "answer": null, "valid_answer": false, "source_citation_index": 2, "user_web_page_id": null, "status": "not_processed", "reader": false, "rank": 1, "reason": "This source provides a tracker of AI legislative and policy developments worldwide, crucial for understanding the regulatory landscape."}, {"id": 556004, "type": "GenericWebPage", "mime_type": "text/html", "url": "https://ieeexplore.ieee.org/abstract/document/9327495", "slug": "ieee", "title": "AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection | IEEE Journals & Magazine | IEEE Xplore", "snippet": "In recent years, numerous public, private, and non-governmental organizations (NGOs) have produced documents addressing the ethical implications of artificial intelligence (AI). These normative documents include principles, frameworks, and policy strategies that articulate the ethical concerns, ...", "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 556004, "website_id": 226, "url": "https://ieeexplore.ieee.org/abstract/document/9327495", "title": "AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection | IEEE Journals & Magazine | IEEE Xplore", "snippet": "In recent years, numerous public, private, and non-governmental organizations (NGOs) have produced documents addressing the ethical implications of artificial intelligence (AI). These normative documents include principles, frameworks, and policy strategies that articulate the ethical concerns, ...", "cleaned_text": null, "cleaned_text_custom_parser": null, "cleaned_text_custom_parser_2": null, "best_field": null, "enhanced": false, "date_published": null, "image": null, "num_tokens_oai_tokenizer": null, "num_tokens_gemini_tokenizer": null}, "favicon": "https://ieeexplore.ieee.org/assets/img/favicon.ico", "state": "candidate", "enhanced": false, "answer": null, "valid_answer": false, "source_citation_index": 3, "user_web_page_id": null, "status": "not_processed", "reader": false, "rank": 1, "reason": "The source compiles a broad array of global AI ethics guidelines, making it essential for comprehensive policy research."}, {"id": 237252, "type": "GenericWebPage", "mime_type": "text/html", "url": "https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai", "slug": "europa", "title": "Ethics guidelines for trustworthy AI", "snippet": null, "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 237252, "website_id": 34892, "url": "https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai", "title": "Ethics guidelines for trustworthy AI", "snippet": null, "cleaned_text": "According to the Guidelines, trustworthy AI should be:\n\n(3) robust - both from a technical perspective while taking into account its social environment\n\nDownload the Guidelines in your language below:\n\nThe Guidelines put forward a set of 7 key requirements that AI systems should meet in order to be deemed trustworthy. A specific assessment list aims to help verify the application of each of the key requirements:\n\u2022 Human agency and oversight: AI systems should empower human beings, allowing them to make informed decisions and fostering their fundamental rights. At the same time, proper oversight mechanisms need to be ensured, which can be achieved through human-in-the-loop, human-on-the-loop, and human-in-command approaches\n\u2022 Technical Robustness and safety: AI systems need to be resilient and secure. They need to be safe, ensuring a fall back plan in case something goes wrong, as well as being accurate, reliable and reproducible. That is the only way to ensure that also unintentional harm can be minimized and prevented.\n\u2022 Privacy and data governance: besides ensuring full respect for privacy and data protection, adequate data governance mechanisms must also be ensured, taking into account the quality and integrity of the data, and ensuring legitimised access to data.\n\u2022 Transparency: the data, system and AI business models should be transparent. Traceability mechanisms can help achieving this. Moreover, AI systems and their decisions should be explained in a manner adapted to the stakeholder concerned. Humans need to be aware that they are interacting with an AI system, and must be informed of the system\u2019s capabilities and limitations.\n\u2022 Diversity, non-discrimination and fairness: Unfair bias must be avoided, as it could could have multiple negative implications, from the marginalization of vulnerable groups, to the exacerbation of prejudice and discrimination. Fostering diversity, AI systems should be accessible to all, regardless of any disability, and involve relevant stakeholders throughout their entire life circle.\n\u2022 Societal and environmental well-being: AI systems should benefit all human beings, including future generations. It must hence be ensured that they are sustainable and environmentally friendly. Moreover, they should take into account the environment, including other living beings, and their social and societal impact should be carefully considered.\n\u2022 Accountability: Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes. Auditability, which enables the assessment of algorithms, data and design processes plays a key role therein, especially in critical applications. Moreover, adequate an accessible redress should be ensured.\n\nThe AI HLEG has also prepared a document which elaborates on a Definition of Artificial Intelligence used for the purpose of the Guidelines.\n\nDownload the Definition of AI in your language below:\n\nThe document also provides an assessment list that operationalises the key requirements and offers guidance to implement them in practice. Starting from the 26th of June, this assessment list underwent a piloting process, to which all stakeholders were invited to test the assessment list and provide practical feedback on how it can be improved.\n\nFeedback was received through different tracks:\n\u2022 An open survey or \u201cquantitative analysis\u201d sent to all those who registered to the piloting\n\u2022 In-depth interviews with a number of representative organisations to gather more detailed feedback for different sectors\n\u2022 Continuous possibility to upload feedback and best practices through the European AI Alliance\n\nBased on the feedback received, the AI HLEG presented the final Assessment List for Trustworthy AI (ALTAI) in July 2020. ALTAI is practical tool that translates the Ethics Guidelines into an accessible and dynamic (self-assessment) checklist. The checklist can be used by developers and deployers of AI who want to implement the key requirements in practice. This new list is available as a prototype web based tool and in PDF format.", "cleaned_text_custom_parser": "Ethics guidelines for trustworthy AI\nOn 8 April 2019, the High-Level Expert Group on AI presented Ethics Guidelines for Trustworthy Artificial Intelligence. This followed the publication of the guidelines' first draft in December 2018 on which more than 500 comments were received through an open consultation.\n(3) robust - both from a technical perspective while taking into account its social environment\nDownload the Guidelines in your language below:\nThe Guidelines put forward a set of 7 key requirements that AI systems should meet in order to be deemed trustworthy. A specific assessment list aims to help verify the application of each of the key requirements:\nThe AI HLEG has also prepared a document which elaborates on a Definition of Artificial Intelligence used for the purpose of the Guidelines.\nDownload the Definition of AI in your language below:\nPiloting Process\nThe document also provides an assessment list that operationalises the key requirements and offers guidance to implement them in practice. Starting from the 26th of June, this assessment list underwent\u00a0a piloting process, to which all stakeholders were invited to test the assessment list and provide practical feedback on how it can be improved.\nThe piloting phase closed on\u00a01\u00a0December 2019\nBased on the feedback received, the AI HLEG\u00a0 presented the final Assessment List for Trustworthy AI (ALTAI)\u00a0 in July 2020. ALTAI is practical tool that translates the Ethics Guidelines into an accessible and dynamic (self-assessment) checklist. The checklist can be used by developers and deployers of AI who want to implement the key requirements in practice.\u00a0This new list is available as a prototype web based tool and in PDF format.\nSee also\nRelated topics\nLast update\nShaping Europe\u2019s digital future\nContact us\nFollow us", "cleaned_text_custom_parser_2": null, "best_field": "cleaned_text", "enhanced": false, "date_published": null, "image": null, "num_tokens_oai_tokenizer": null, "num_tokens_gemini_tokenizer": null}, "favicon": "https://digital-strategy.ec.europa.eu/themes/custom/cnt_theme/images/favicons/ec/favicon.ico", "state": "candidate", "enhanced": false, "answer": null, "valid_answer": false, "source_citation_index": 4, "user_web_page_id": null, "status": "not_processed", "reader": false, "rank": 1, "reason": "The source focuses on ethical guidelines for AI, catering to various sectors and highlighting international perspectives, making it relevant."}, {"id": 522109, "type": "GenericWebPage", "mime_type": "text/html", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10591196/", "slug": "nih", "title": "Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance - PMC", "snippet": "We also developed a secondary dashboard ...ldwide-ai-ethics), an open source framework for building data visualization interfaces. The main distinction between our tool and Hagendorff\u2019s table19 and Fjeld et al.\u2019s graphs20 lies in its interactivity and the flexibility to combine various filters without being confined to preconfigured orderings. This feature allows researchers to utilize the tool to examine and question specific characteristics present in their regions, to identify trends and behaviors, ...", "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 522109, "website_id": 34203, "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10591196/", "title": "Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance - PMC", "snippet": "We also developed a secondary dashboard ...ldwide-ai-ethics), an open source framework for building data visualization interfaces. The main distinction between our tool and Hagendorff\u2019s table19 and Fjeld et al.\u2019s graphs20 lies in its interactivity and the flexibility to combine various filters without being confined to preconfigured orderings. This feature allows researchers to utilize the tool to examine and question specific characteristics present in their regions, to identify trends and behaviors, ...", "cleaned_text": null, "cleaned_text_custom_parser": null, "cleaned_text_custom_parser_2": null, "best_field": null, "enhanced": false, "date_published": null, "image": null, "num_tokens_oai_tokenizer": null, "num_tokens_gemini_tokenizer": null}, "favicon": "https://pmc.ncbi.nlm.nih.gov/static/img/favicons/apple-touch-icon.png", "state": "candidate", "enhanced": false, "answer": null, "valid_answer": false, "source_citation_index": 5, "user_web_page_id": null, "status": "not_processed", "reader": false, "rank": 1, "reason": "The source includes a review of AI ethics guidelines and policies useful for understanding emerging trends and frameworks."}, {"id": 556021, "type": "GenericWebPage", "mime_type": "text/html", "url": "https://www.openaccessgovernment.org/ethics-of-ai-development/84472/", "slug": "openaccessgovernment", "title": "The ethics of AI development in public policy", "snippet": "However, it is absolutely vital ... public policy. Governments have special responsibilities to protect, care for and serve all their citizens. The ethics of AI are central to this responsibility. When made practical in this way, they can be used by governments to shape more innovation; for better, more useful and appropriate AITs, and for the benefit of all citizens. ... Open Access Government produces compelling and informative news, publications, eBooks, and academic research articles for ...", "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 556021, "website_id": 5331, "url": "https://www.openaccessgovernment.org/ethics-of-ai-development/84472/", "title": "The ethics of AI development in public policy", "snippet": "However, it is absolutely vital ... public policy. Governments have special responsibilities to protect, care for and serve all their citizens. The ethics of AI are central to this responsibility. 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AI NGOs, AI Research, AI civil society", "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 385195, "website_id": 79679, "url": "https://www.aiethicist.org/ai-organizations", "title": "AI NGOs, Research Organizations, Ethical AI Organizations - AI Ethicist", "snippet": "aiEthicist.org Includes a list of AI organizations that work on research, advocacy, development of ethical and responsible AI and AI Governance. AI NGOs, AI Research, AI civil society", "cleaned_text": null, "cleaned_text_custom_parser": null, "cleaned_text_custom_parser_2": null, "best_field": null, "enhanced": false, "date_published": null, "image": null, "num_tokens_oai_tokenizer": null, "num_tokens_gemini_tokenizer": null}, "favicon": null, "state": "candidate", "enhanced": false, "answer": null, "valid_answer": false, "source_citation_index": 7, "user_web_page_id": null, "status": "not_processed", "reader": false, "rank": 2, "reason": "The source lists organizations working on ethical AI governance, providing a foundation for understanding different policy approaches."}, {"id": 459414, "type": "GenericWebPage", "mime_type": "text/html", "url": "https://www.microsoft.com/en-us/ai/responsible-ai", "slug": "microsoft", "title": "Responsible AI: Ethical policies and practices | Microsoft AI", "snippet": "Explore how Microsoft is committed to responsible AI practices and advancing AI technology with ethical principles. ... Help your organization define and implement best practices for human-AI interaction. Learn more ... These principles guide the development and deployment of AI systems to ensure they treat everyone equally and prevent ...", "image": null, "date_published": null, "media": [], "products": [], "source": {"id": 459414, "website_id": 133, "url": "https://www.microsoft.com/en-us/ai/responsible-ai", "title": "Responsible AI: Ethical policies and practices | Microsoft AI", "snippet": "Explore how Microsoft is committed to responsible AI practices and advancing AI technology with ethical principles. ... Help your organization define and implement best practices for human-AI interaction. Learn more ... These principles guide the development and deployment of AI systems to ensure they treat everyone equally and prevent ...", "cleaned_text": "See how AI is being used to support environmental, humanitarian, and cultural heritage initiatives.", "cleaned_text_custom_parser": "Global\nResponsible AI at Microsoft\nOur commitment to responsible AI\nNews and insights\nAdvancing\u00a0AI\u00a0testing and\u00a0evaluation\u00a0with\u00a0learnings from\u00a0science and\u00a0industry\nSharing updates to our practices in the 2025 Responsible AI Transparency Report\nIntroducing Microsoft\u2019s European digital commitments\nEvaluating and understanding progress in AI\nIdentifying potential risk in more than 100 generative AI products\nIntroducing Phi-4: A 14-billion parameter language model\nStreamlining ergonomics for developers and users\nAdvancing run-time strategies for next-generation foundation models\nProtecting the public from abusive AI-generated content\nCombatting AI deepfakes: our participation in the 2024 political conventions\nSupporting responsible innovation with tools in Azure AI\nApplying\u00a0Microsoft privacy commitments\u00a0to AI\nSpotlighting how Microsoft protects AI platforms against cyberthreats\nCombating abusive AI-generated content: a comprehensive approach\nSharing our approach to responsible AI for Microsoft Copilot\nOutlining AFL-CIO and Microsoft\u2019s goals for their tech-labor partnership on AI\nAddressing customer concerns with our Customer Copyright Commitment\nAdvancing safe, secure, and trustworthy AI\nPromoting responsible development through the Frontier Model Forum\nAddressing the A to Z of responsible AI\nSupporting responsible AI journeys with our customer commitments\nReflecting\u00a0on AI and the future of human flourishing\nStanding up for democratic values and protecting the stability of cyberspace\nResearching\u00a0open-source tools\u00a0for responsible AI\u00a0from Microsoft\nAdvancing human-centered AI through responsible AI research\nSharing security best practices from the Microsoft AI Red Team\nSharing updates to our practices in the 2025 Responsible AI Transparency Report\nIntroducing Microsoft\u2019s European digital commitments\nProtecting the public from abusive AI-generated content\nCombatting AI deepfakes: our participation in the 2024 political conventions\nApplying\u00a0Microsoft privacy commitments\u00a0to AI\nAdvancing safe, secure, and trustworthy AI\nPromoting responsible development through the Frontier Model Forum\nAddressing customer concerns with our Customer Copyright Commitment\nStanding up for democratic values and protecting the stability of cyberspace\nAddressing the A to Z of responsible AI\nSharing our approach to responsible AI for Microsoft Copilot\nSupporting responsible AI journeys with our customer commitments\nCombating abusive AI-generated content: a comprehensive approach\nOutlining AFL-CIO and Microsoft\u2019s goals for their tech-labor partnership on AI\nAdvancing AI testing and evaluation with learnings from science and industry\nEvaluating and understanding progress in AI\nIntroducing Phi-4: A 14-billion parameter language model\nStreamlining ergonomics for developers and users\nAdvancing run-time strategies for next-generation foundation models\nReflecting\u00a0on AI and the future of human flourishing\nResearching\u00a0open-source tools\u00a0for responsible AI\u00a0from Microsoft\nAdvancing human-centered AI through responsible AI research\nIdentifying potential risk in more than 100 generative AI products\nSupporting\u00a0responsible innovation with\u00a0tools in Azure AI\nSharing security best practices from the Microsoft AI Red Team\nSpotlighting how Microsoft protects AI platforms against cyberthreats\nBuild your business with trustworthy AI\nTools and practices\nHuman-AI Experience (HAX) Workbook\nBuild secure and trustworthy apps with Azure AI\nResponsible AI Dashboard\nAdvancing AI policy\nAdvancing American AI\nUnlocking the economic potential of the US generative AI ecosystem\nAccelerating sustainability with AI\nAdvancing prosperity in the AI era\nThe global governance of AI\nGoverning AI: A\u00a0blueprint for the future\nMeeting the AI moment\nReflecting on our responsible AI program\nGlobal Accessibility Awareness Day: Accessibility at the heart of innovation\nMaking IP (intellectual property) a tool for solving big problems\nTools and weapons with Brad Smith\nAdvancing AI governance in Japan\nConsiderations for AI governance in Canada\nGoverning AI in Africa\nIndia\u2019s AI opportunity\nAdvancing AI governance in Europe and internationally\nMaking responsible AI attainable\nExplore the business case for responsible AI\nAdvancing AI responsibly\nUNESCO and Microsoft partner to advance responsible AI\nMicrosoft to join Framework for Collective Action on Synthetic Media\nTransform your business with Microsoft AI\nFrequently asked questions\nFrequently asked questions\nWhat is responsible AI and why is it important?\nHow does Microsoft ensure fairness in its AI systems?\nWhat are the ethical considerations for using generative AI tools?\nHow can organizations prepare to introduce AI responsibly?\nHow does Microsoft protect my privacy and ensure confidentiality of sensitive data?\nLearn more about AI at Microsoft\nAI for Good\nMicrosoft AI\nAI resources for business leaders\nFollow Microsoft\nAI-powered assistant\nCan we help you?\nAI-powered assistant is available 24x7.", "cleaned_text_custom_parser_2": "\n\n \n

\n This is the Trace Id: 37448cf0d78a4c2641d934922e84dcf4\n

\n Responsible AI at Microsoft\n

\n Explore the tools, practices, and policies we\u2019ve created to uphold our responsible AI principles.\n \n 2025 RAI Transparency Report\n \n

\n Our commitment to responsible AI\n

\n At Microsoft we're committed to responsibly designing, building, and releasing AI technologies\u2014keeping humans at the center and guided by our principles. We\u2019ve distilled our commitment into six core values that remain our foundation:\n

\n Fairness\n
\n Reliability and safety\n
\n Privacy and security\n
\n Transparency\n
\n Accountability\n
\n Inclusiveness\n

\n \n See our principles\n \n

\n News and insights\n

\n Explore\u00a0Microsoft\u2019s approach to\u00a0responsible\u00a0AI\u00a0through our policies,\u00a0research\u00a0and engineering.\n

\n \n \n \n \n

\n Our commitment to responsible AI\n

\n News and insights\n

\n Advancing\u00a0AI\u00a0testing and\u00a0evaluation\u00a0with\u00a0learnings from\u00a0science and\u00a0industry\n

\n Sharing updates to our practices in the 2025 Responsible AI Transparency Report\n

\n Introducing Microsoft\u2019s European digital commitments\n

\n Evaluating and understanding progress in AI\n

\n Identifying potential risk in more than 100 generative AI products\n

\n Introducing Phi-4: A 14-billion parameter language model\n

\n Streamlining ergonomics for developers and users\n

\n Advancing run-time strategies for next-generation foundation models\n

\n Protecting the public from abusive AI-generated content\n

\n Combatting AI deepfakes: our participation in the 2024 political conventions\n

\n Supporting responsible innovation with tools in Azure AI\n

\n Applying\u00a0Microsoft privacy commitments\u00a0to AI\n

\n Spotlighting how Microsoft protects AI platforms against cyberthreats\n

\n Combating abusive AI-generated content: a comprehensive approach\n

\n Sharing our approach to responsible AI for Microsoft Copilot\n

\n Outlining AFL-CIO and Microsoft\u2019s goals for their tech-labor partnership on AI\n

\n Addressing customer concerns with our Customer Copyright Commitment\n

\n Advancing safe, secure, and trustworthy AI\n

\n Promoting responsible development through the Frontier Model Forum\n

\n Addressing the A to Z of responsible AI\n

\n Supporting responsible AI journeys with our customer commitments\n

\n Reflecting\u00a0on AI and the future of human flourishing\n

\n Standing up for democratic values and protecting the stability of cyberspace\n

\n Researching\u00a0open-source tools\u00a0for responsible AI\u00a0from Microsoft\n

\n Advancing human-centered AI through responsible AI research\n

\n Sharing security best practices from the Microsoft AI Red Team\n

\n Sharing updates to our practices in the 2025 Responsible AI Transparency Report\n

\n Introducing Microsoft\u2019s European digital commitments\n

\n Protecting the public from abusive AI-generated content\n

\n Combatting AI deepfakes: our participation in the 2024 political conventions\n

\n Applying\u00a0Microsoft privacy commitments\u00a0to AI\n

\n Advancing safe, secure, and trustworthy AI\n

\n Promoting responsible development through the Frontier Model Forum\n

\n Addressing customer concerns with our Customer Copyright Commitment\n

\n Standing up for democratic values and protecting the stability of cyberspace\n

\n Addressing the A to Z of responsible AI\n

\n Sharing our approach to responsible AI for Microsoft Copilot\n

\n Supporting responsible AI journeys with our customer commitments\n

\n Combating abusive AI-generated content: a comprehensive approach\n

\n Outlining AFL-CIO and Microsoft\u2019s goals for their tech-labor partnership on AI\n

\n Advancing AI testing and evaluation with learnings from science and industry\n

\n Evaluating and understanding progress in AI\n

\n Introducing Phi-4: A 14-billion parameter language model\n

\n Streamlining ergonomics for developers and users\n

\n Advancing run-time strategies for next-generation foundation models\n

\n Reflecting\u00a0on AI and the future of human flourishing\n

\n Researching\u00a0open-source tools\u00a0for responsible AI\u00a0from Microsoft\n

\n Advancing human-centered AI through responsible AI research\n

\n Identifying potential risk in more than 100 generative AI products\n

\n Supporting\u00a0responsible innovation with\u00a0tools in Azure AI\n

\n Sharing security best practices from the Microsoft AI Red Team\n

\n Spotlighting how Microsoft protects AI platforms against cyberthreats\n

\n Build your business with trustworthy AI\n

\n Tools and practices\n

\n Human-AI Experience (HAX) Workbook\n

\n Build secure and trustworthy apps with Azure AI\n

\n Responsible AI Dashboard\n

\n Advancing AI policy\n

\n Advancing American AI\n

\n Unlocking the economic potential of the US generative AI ecosystem\n

\n Accelerating sustainability with AI\n

\n Advancing prosperity in the AI era\n

\n The global governance of AI\n

\n Governing AI: A\u00a0blueprint for the future\n

\n Meeting the AI moment\n

\n Reflecting on our responsible AI program\n

\n Global Accessibility Awareness Day: Accessibility at the heart of innovation\n

\n Making IP (intellectual property) a tool for solving big problems\n

\n Tools and weapons with Brad Smith\n

\n Advancing AI governance in Japan\n

\n Considerations for AI governance in Canada\n

\n Governing AI in Africa\n

\n India\u2019s AI opportunity\n

\n Advancing AI governance in Europe and internationally\n

\n Making responsible AI attainable\n

\n Explore the business case for responsible AI\n

\n Advancing AI responsibly\n

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