{"id":2453,"date":"2025-05-20T17:37:45","date_gmt":"2025-05-20T17:37:45","guid":{"rendered":"https:\/\/dmcwpprod.wpenginepowered.com\/?page_id=1156"},"modified":"2025-10-16T10:46:20","modified_gmt":"2025-10-16T10:46:20","slug":"responsible-ai-transparency-report","status":"publish","type":"page","link":"https:\/\/www.microsoft.com\/dmc\/en-us\/corporate-responsibility\/responsible-ai-transparency-report\/","title":{"rendered":"Responsible AI Transparency Report"},"content":{"rendered":"

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2025<\/span>
\nResponsible AI
\nTransparency
\nReport<\/h1>\n

[\/vc_column_text][vc_column_text css=””]Share<\/span>\"Share<\/a>\"Share<\/a>[\/vc_column_text][vc_column_text css=”.vc_custom_1748992410680{margin-top: 50px !important;}”]<\/p>\n

How we build, support our customers, and grow<\/h2>\n

Our second annual Responsible AI Transparency Report covers the progress we\u2019ve made since the publication of our inaugural report in 2024. It highlights our continued commitment to responsible innovation, covering how we develop and deploy AI models and systems responsibly; how we support our customers; and how we learn, evolve, and grow.[\/vc_column_text][vc_row_inner][vc_column_inner][vc_btn title=”View the 2025 report” style=”outline-custom” outline_custom_color=”#2D231E” outline_custom_hover_background=”#2D231E” outline_custom_hover_text=”#FFFFFF” shape=”square” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FResponsible-AI-Transparency-Report-2025%23page%3D1|target:_blank” el_class=”btn-banner-report”][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”1\/5″ offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1747832219483{padding-right: 5% !important;padding-left: 5% !important;background-color: #FFFFFF00 !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}” el_class=”video”][vc_column][vc_row_inner equal_height=”yes”][vc_column_inner width=”1\/3″][vc_column_text css=””]<\/p>\n

Key takeaways<\/h2>\n

In 2024, we made key investments in our responsible AI tools, policies, and practices to move at the speed of AI innovation.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text css_animation=”none” css=”.vc_custom_1750158632139{padding-top: 35px !important;}” el_class=”border”]<\/p>\n

Responsible
\nAI tooling<\/h3>\n

We improved our responsible AI tooling to expand coverage for risk evaluation and mitigations across modalities as well as for agentic systems.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text css_animation=”none” css=”.vc_custom_1750158642398{padding-top: 35px !important;}” el_class=”border”]<\/p>\n

Approach to
\ncompliance<\/h3>\n

We took a proactive, layered approach to compliance with new regulatory requirements.<\/p>\n

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Pre-deployment
\nreviews<\/h3>\n

We launched an internal workflow tool to centralize responsible AI requirements and simplify documentation for pre-deployment reviews.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text css_animation=”none” css=”.vc_custom_1750158764402{padding-top: 35px !important;}” el_class=”border”]<\/p>\n

Sensitive
\nuses of AI<\/h3>\n

We continued to provide hands-on counseling for high-impact and higher-risk uses of AI, particularly in areas related to healthcare and the sciences.<\/span><\/p>\n

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Investments
\nin research<\/h3>\n

We established the AI Frontiers lab to push the frontier of AI capabilities, efficiency, and safety<\/span><\/span>.<\/p>\n

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Coherent governance frameworks<\/span><\/h3>\n

We collaborated with stakeholders around the world to make progress towards building coherent governance frameworks.<\/p>\n

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Responsible AI transparency<\/span><\/a><\/p>\n

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Build<\/span><\/a><\/p>\n

How
we build<\/span><\/p>\n

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Decide<\/span><\/a><\/p>\n

How
we decide<\/span><\/p>\n

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Support<\/span><\/a><\/p>\n

How
we support<\/span><\/p>\n

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Learn<\/span><\/a><\/p>\n

How
we learn<\/span><\/p>\n

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View the 2025 report<\/i><\/span><\/a><\/p>\n

[\/vc_column_text][vc_column_text css=”.vc_custom_1750331223384{margin-right: 10px !important;margin-bottom: 0px !important;margin-left: 10px !important;padding-top: 1px !important;padding-right: 10px !important;padding-bottom: 15px !important;padding-left: 10px !important;}”]Follow <\/span>\"Follow<\/a>\"Follow<\/a>\"Follow<\/a>\"Follow<\/a>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”4\/5″ css=”.vc_custom_1750165495077{padding-left: 8% !important;}”][vc_row_inner][vc_column_inner][vc_column_text css=””]<\/p>\n

Responsible AI transparency |<\/span>Build<\/p>\n

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How we build
\nAI responsibly<\/h2>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_row_inner content_placement=”top”][vc_column_inner width=”1\/3″][vc_btn title=”Learn how we build” style=”outline-custom” outline_custom_color=”#2D231E” outline_custom_hover_background=”#2D231E” outline_custom_hover_text=”#FFFFFF” shape=”square” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FResponsible-AI-Transparency-Report-2025%23page%3D5|target:_blank” el_class=”btn-build-main”][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text css=””]<\/p>\n

How we build generative AI systems and models responsibly<\/h2>\n

[\/vc_column_text][vc_column_text css=””]When we embark on the development and deployment of a new AI system, we enlist the AI Risk Management Framework created by the National Institute for Standards and Technology (NIST), which includes four key functions: govern, map, measure, and manage.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1749246224999{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_row_inner content_placement=”middle”][vc_column_inner width=”1\/2″][vc_column_text css=”.vc_custom_1750253924974{padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #1871C3 !important;}”]Govern:<\/strong><\/span><\/p>\n

Our responsible AI governance architecture helps us uphold our principles consistently across the company. It involves establishing clear policies, processes, roles, and responsibilities.<\/span>[\/vc_column_text][vc_column_text css=”.vc_custom_1749653733369{padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #2673BA !important;}”]Map:<\/strong><\/span>
\n
\nMapping and prioritizing risks enables us to make informed decisions about mitigations and the appropriateness of an AI application for a given context.<\/span>[\/vc_column_text][vc_column_text css=”.vc_custom_1749656206012{padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #1B588D !important;}”]Measure:<\/strong>
\n<\/span><\/p>\n

AI risk measurement helps inform the prioritization and design of mitigations\u2014a practice that grew in importance in 2024 as AI capabilities became more complex.<\/span>[\/vc_column_text][vc_column_text css=”.vc_custom_1749656222159{padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #2D3A55 !important;}”]Manage:<\/strong><\/span><\/p>\n

Once we\u2019ve mapped and measured risks, we manage them across the AI technology stack through a “defense in depth” approach. After deployment, we continue to manage risks through ongoing monitoring.<\/span><\/p>\n

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Managing AI-related risks in 2024 elections<\/h2>\n

In 2024, more people voted in elections across the world than at any other time in history. Microsoft took proactive measures in partnership with governments, nonprofit organizations, and private sector companies to prevent the creation and dissemination of deceptive AI-generated election content.<\/p>\n

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Responsible AI transparency |<\/span>Decide<\/p>\n

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How we
\nmake decisions<\/h2>\n

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How we make decisions about releasing generative AI systems and models<\/h2>\n

[\/vc_column_text][vc_column_text css=””]Throughout 2024, we continued to refine our pre-deployment oversight processes which include our deployment safety process for generative AI systems and models, as well as the Sensitive Uses and Emerging Technology program. We also launched an internal workflow tool to further support responsible AI documentation and review processes.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1749246224999{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1746626336056{margin-bottom: -50px !important;}”][vc_column_inner width=”1\/2″][vc_column_text css_animation=”none” css=”.vc_custom_1750347026017{padding-top: 35px !important;}” el_class=”border”]<\/p>\n

Deployment safety for generative AI systems and models<\/h3>\n

Before deploying our generative AI applications and models, teams review their risk management approach with experts across the Responsible AI Community. These experts provide recommendations and requirements grounded in our responsible AI policies.<\/p>\n

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Learn more<\/span> \"\"<\/span><\/a><\/p>\n

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Sensitive Uses and Emerging Technologies program<\/h3>\n

Our Sensitive Uses and Emerging Technologies program provides pre-deployment review and oversight of high-impact and higher-risk uses of AI. Reviews often culminate in requirements that go beyond our Responsible AI Standard.<\/p>\n

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77% generative AI<\/span><\/h2>\n
\n

In 2024, 77% of cases that received consultations from the Sensitive Uses and Emerging Technologies team were related to generative AI.<\/span><\/p>\n

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Safely deploying Phi small language models<\/h2>\n

The Phi model team released three collections of Phi models in 2024 and early 2025, each unlocking new capabilities. The team used a “break-fix” framework to inform deployment safety for each release.[\/vc_column_text][vc_btn title=”Learn more” style=”outline-custom” outline_custom_color=”#2D231E” outline_custom_hover_background=”#2D231E” outline_custom_hover_text=”#FFFFFF” shape=”square” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FResponsible-AI-Transparency-Report-2025%23page%3D16|target:_blank” el_class=”btn-decide-safely-section”][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=”accordian” css=”.vc_custom_1746127415870{margin-top: 40px !important;margin-right: 2% !important;margin-bottom: 40px !important;margin-left: 2% !important;padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #FFFFFF26 !important;}”][vc_column_inner width=”1\/5″][vc_single_image image=”1664″ img_size=”full” css=””][\/vc_column_inner][vc_column_inner width=”4\/5″][vc_column_text css=””]Case study<\/p>\n

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Safely deploying Smart Impression<\/h2>\n

Smart Impression is an AI-powered productivity tool for radiologists. Through the Sensitive Uses review process, the product team identified and mitigated key risks related to using AI in a healthcare setting.[\/vc_column_text][vc_btn title=”Learn more” style=”outline-custom” outline_custom_color=”#2D231E” outline_custom_hover_background=”#2D231E” outline_custom_hover_text=”#FFFFFF” shape=”square” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FResponsible-AI-Transparency-Report-2025%23page%3D20|target:_blank” el_class=”btn-decide-safely-second-section”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1749642651362{padding-right: 5% !important;padding-left: 5% !important;background-color: #FFFFFF00 !important;}” el_id=”support”][vc_column width=”1\/5″ offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][\/vc_column][vc_column width=”4\/5″][vc_row_inner][vc_column_inner][vc_column_text css=””]<\/p>\n

Responsible AI transparency |<\/span>Support<\/p>\n

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How we support
\nour customers<\/h2>\n

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How we support our customers in building AI responsibly<\/h2>\n

[\/vc_column_text][vc_column_text css=””]As developers and deployers of AI technology, it\u2019s our responsibility to support our customers in their own responsible AI journeys. We regularly share our tools and practices with our customers and eagerly engage in dialogue to learn how we can better support them in innovating responsibly.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1749650078198{padding-top: 50px !important;}”][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1746626336056{margin-bottom: -50px !important;}”][vc_column_inner width=”1\/3″][vc_column_text css_animation=”none” css=”.vc_custom_1750348482015{padding-top: 35px !important;}” el_class=”border”]<\/p>\n

AI Customer Commitments<\/h3>\n

We continue to expand and build on the AI Customer Commitments we first announced in 2023. In 2024, we extended our Customer Copyright Commitments to include our reseller partners.<\/p>\n

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Tooling to support customers<\/h3>\n

Responsible AI tooling is critical to achieving consistent alignment with our internal AI policies. We\u2019ve released 30 responsible AI tools that include more than 155 features to support our customers\u2019 responsible AI development.<\/p>\n

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Transparency to support customers<\/h3>\n

We\u2019re committed to equipping our customers with the information they need to innovate responsibly. Since 2019, we\u2019ve published 40 Transparency Notes containing key information about our platform services.<\/p>\n

 <\/p>\n

\n

Learn more<\/span> \"\"<\/span><\/a><\/p>\n

\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1750153803770{padding-top: 10px !important;}”][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=”accordian” css=”.vc_custom_1746127415870{margin-top: 40px !important;margin-right: 2% !important;margin-bottom: 40px !important;margin-left: 2% !important;padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #FFFFFF26 !important;}”][vc_column_inner width=”1\/5″][vc_single_image image=”1665″ img_size=”full” css=””][\/vc_column_inner][vc_column_inner width=”4\/5″][vc_column_text css=””]Case study<\/p>\n

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[\/vc_column_text][vc_column_text css=””]<\/p>\n

Content credentials on LinkedIn<\/h2>\n

Microsoft-owned platform LinkedIn became the first professional networking platform to display the C2PA Content Credentials for all AI-generated images and videos uploaded to LinkedIn\u2019s feed.<\/p>\n

[\/vc_column_text][vc_btn title=”Learn more” style=”outline-custom” outline_custom_color=”#2D231E” outline_custom_hover_background=”#2D231E” outline_custom_hover_text=”#FFFFFF” shape=”square” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FResponsible-AI-Transparency-Report-2025%23page%3D25|target:_blank” el_class=”btn-support-content-card”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1749641818341{padding-right: 5% !important;padding-left: 5% !important;background-color: #FFFFFF00 !important;}” el_id=”learn”][vc_column width=”1\/5″ offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][\/vc_column][vc_column width=”4\/5″][vc_row_inner][vc_column_inner][vc_column_text css=””]<\/p>\n

Responsible AI transparency |<\/span>Learn<\/p>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1747653683743{padding-top: 15px !important;padding-bottom: 15px !important;}”][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][vc_column_text css=””]<\/p>\n

How we learn,
\nevolve, and grow<\/h2>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner][\/vc_column_inner][\/vc_row_inner][vc_row_inner content_placement=”top” css=”.vc_custom_1746788105756{padding-top: 10px !important;padding-bottom: 40px !important;}”][vc_column_inner width=”1\/3″][vc_btn title=”Explore our approach” style=”outline-custom” outline_custom_color=”#2D231E” outline_custom_hover_background=”#2D231E” outline_custom_hover_text=”#FFFFFF” shape=”square” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FResponsible-AI-Transparency-Report-2025%23page%3D27|target:_blank” el_class=”btn-learn-explore”][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text css=””]<\/p>\n

How we learn, evolve, and grow in our responsible AI work<\/h2>\n

[\/vc_column_text][vc_column_text css=””]From the beginning, Microsoft has committed to scaling our responsible AI program to meet the growing demand for this technology. For us, this means investing in research, working across sectors to advance effective global governance of AI, and tuning into a wide range of perspectives.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1746626336056{margin-bottom: -50px !important;}”][vc_column_inner width=”1\/3″][vc_column_text css_animation=”none” css=”.vc_custom_1750348680791{padding-top: 35px !important;}” el_class=”border”]<\/p>\n

Investments in research<\/h3>\n

Throughout 2024, Microsoft researchers collaborated closely with our policy and engineering teams to push the frontiers of how we map, measure, and manage AI risks.<\/p>\n

 <\/p>\n

\n

Learn more<\/span> \"\"<\/span><\/a><\/p>\n

\n

[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text css_animation=”none” css=”.vc_custom_1750348701610{padding-top: 35px !important;}” el_class=”border”]<\/p>\n

Advancing AI adoption through good governance<\/h3>\n

We are working with governments around the world to build globally coherent governance frameworks that enable organizations of all kinds to innovate with AI.<\/p>\n

 <\/p>\n

\n

Learn more<\/span> \"\"<\/span><\/a><\/p>\n

\n

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Tuning in to multistakeholder input<\/h3>\n

Harnessing the expertise of a wide range of stakeholders is essential to effective AI risk management. We actively seek out underrepresented voices for input on how our AI systems can be safer and more reliable.<\/p>\n

 <\/p>\n

\n

Learn more<\/span> \"\"<\/span><\/a><\/p>\n

\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner css=”.vc_custom_1749646407023{background-color: #2D231E00 !important;}”][vc_column_inner][vc_column_text css=”.vc_custom_1749721886496{padding-top: 40px !important;padding-right: 40px !important;padding-bottom: 40px !important;padding-left: 40px !important;background-color: #2D231E !important;}”]<\/p>\n

Over 300 papers<\/span><\/h2>\n
\n

The Accelerating Foundation Models Research (AFMR) community, founded by Microsoft Research, has published over 300 papers co-authored by computer scientists and researchers outside computer science, supporting over 123 institutions in 19 countries.<\/span><\/p>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=”accordian” css=”.vc_custom_1746127415870{margin-top: 40px !important;margin-right: 2% !important;margin-bottom: 40px !important;margin-left: 2% !important;padding-top: 5px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #FFFFFF26 !important;}”][vc_column_inner width=”1\/5″][vc_single_image image=”1666″ img_size=”full” css=””][\/vc_column_inner][vc_column_inner width=”4\/5″][vc_column_text css=””]Case study<\/p>\n

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[\/vc_column_text][vc_column_text css=””]<\/p>\n

AILuminate from MLCommons<\/h2>\n

Advancing AI governance requires standardizing methods for evaluating AI risks. To support this effort, MLCommons developed a new AI safety benchmark called AILuminate, which offers a scientific, independent analysis of large language model risk.<\/p>\n

[\/vc_column_text][vc_btn title=”Learn more” style=”outline-custom” outline_custom_color=”#2D231E” outline_custom_hover_background=”#2D231E” outline_custom_hover_text=”#FFFFFF” shape=”square” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FResponsible-AI-Transparency-Report-2025%23page%3D30|target:_blank” el_class=”btn-ailuminate”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1746718044963{margin-bottom: -50px !important;padding-top: 80px !important;padding-right: 5% !important;padding-bottom: 50px !important;padding-left: 5% !important;background-color: #2D231E !important;}” el_class=”sustainwhite”][vc_column width=”1\/5″ offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][\/vc_column][vc_column width=”4\/5″][vc_column_text css=””]<\/p>\n

Beyond<\/span>
\nour<\/span>
\nreport<\/span><\/h2>\n

[\/vc_column_text][vc_column_text css=””]<\/p>\n

\n

[\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/3″][vc_btn title=”Read last year’s report” style=”outline-custom” outline_custom_color=”#FFFFFF” outline_custom_hover_background=”#FFFFFF” outline_custom_hover_text=”#2D231E” shape=”square” size=”lg” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FRAITransparencyReport2024PDF|target:_blank” el_class=”btn-footer-last-report”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_btn title=”Learn about responsible AI” style=”outline-custom” outline_custom_color=”#FFFFFF” outline_custom_hover_background=”#FFFFFF” outline_custom_hover_text=”#2D231E” shape=”square” size=”lg” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Faka.ms%2FRAI|target:_blank” el_class=”btn-footer-learnmore”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_btn title=”Visit the Reports Hub” style=”outline-custom” outline_custom_color=”#FFFFFF” outline_custom_hover_background=”#FFFFFF” outline_custom_hover_text=”#2D231E” shape=”square” size=”lg” i_align=”right” i_icon_fontawesome=”fa fa-solid fa-square-arrow-up-right” css_animation=”none” css=”” add_icon=”true” link=”url:https%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fcorporate-responsibility%2Freports-hub%23trust|target:_blank” el_class=”btn-footer-visit-report”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row css=”.vc_custom_1749652948855{padding-top: 300px !important;padding-right: 5% !important;padding-left: 5% !important;background-image: url(https:\/\/dmcwpprod.wpenginepowered.com\/wp-content\/uploads\/2025\/06\/BANNER_IMAGE_sized.png?id=1651) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}” el_id=”microsoft”][vc_column width=”1\/5″ offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][vc_column_inner width=”1\/5″][\/vc_column_inner][\/vc_column][vc_column width=”3\/5″][vc_column_text css=””] 2025 Responsible AI Transparency Report [\/vc_column_text][vc_column_text css=””]Share[\/vc_column_text][vc_column_text css=”.vc_custom_1748992410680{margin-top: 50px !important;}”] How we build, support our customers, and grow Our second annual Responsible AI Transparency Report covers the progress we\u2019ve made since […]<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":1525,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[],"class_list":["post-2453","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nResponsible AI Transparency Report | Microsoft<\/title>\n<meta name=\"description\" content=\"Discover how we build AI systems and models responsibly, support our customers, learn, evolve, and grow in our responsible AI work.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microsoft.com\/en-us\/corporate-responsibility\/responsible-ai-transparency-report\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Responsible AI Transparency 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