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<h1 id="title" class="title">AI &amp; the Web: Understanding and managing the impact of Machine Learning models on the Web</h1>
<p id="w3c-state"> <time class="dt-published" datetime="2024-05-13">13 May 2024</time></p>
<p id="w3c-state"> <time class="dt-published" datetime="2024-08-20">20 August 2024</time></p>
<details open="">
<summary>More details about this document</summary>
<dl>
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<p>
This document aims first and foremost to help structure discussions on what may be needed at the standardization level to make the systemic impact of AI (and specifically, <a data-link-type="dfn|abstract-op" href="#dfn-model" class="internalDFN" id="ref-for-dfn-model-2">Machine Learning models</a>) less harmful or more manageable. It is bound to be incomplete and sometimes wrong - we are gathering input and feedback in <a href="https://github.com/w3c/ai-web-impact/issues">GitHub</a>, preferably before June 30, 2024.
</p>
<p>If it's not feasible for you to use GitHub, send comments in e-mail to: <a href="mailto:public-team-report-comments@w3.org">public-team-report-comments@w3.org</a>. Please put your comments in the body of the message, not as an attachment. Start your e-mail subject line with: [AI Report].</p>
Please put your comments in the body of the message, not as an attachment. Start your e-mail subject line with: [Public Comment]
<p>
Depending on the feedback received, possible next steps include more in-depth stakeholder interviews, a dedicated <abbr title="World Wide Web Consortium">W3C</abbr> Workshop, or developing a standardization roadmap.</p>

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<dl class="bibliography"><dt id="bib-c2pa-ai">[C2PA-AI]</dt><dd>
<a href="https://c2pa.org/specifications/specifications/1.3/ai-ml/ai_ml.html"><cite>Guidance for Artificial Intelligence and Machine Learning</cite></a>. C2PA. URL: <a href="https://c2pa.org/specifications/specifications/1.3/ai-ml/ai_ml.html">https://c2pa.org/specifications/specifications/1.3/ai-ml/ai_ml.html</a>
</dd><dt id="bib-design-principles">[design-principles]</dt><dd>
<a href="https://www.w3.org/TR/design-principles/"><cite>Web Platform Design Principles</cite></a>. Sangwhan Moon; Lea Verou. W3C. 30 January 2024. W3C Working Group Note. URL: <a href="https://www.w3.org/TR/design-principles/">https://www.w3.org/TR/design-principles/</a>
<a href="https://www.w3.org/TR/design-principles/"><cite>Web Platform Design Principles</cite></a>. Lea Verou. W3C. 18 July 2024. W3C Working Group Note. URL: <a href="https://www.w3.org/TR/design-principles/">https://www.w3.org/TR/design-principles/</a>
</dd><dt id="bib-digital-credentials">[DIGITAL-CREDENTIALS]</dt><dd>
<a href="https://wicg.github.io/digital-identities/"><cite>Digital Credentials</cite></a>. WICG. March 2024. URL: <a href="https://wicg.github.io/digital-identities/">https://wicg.github.io/digital-identities/</a>
</dd><dt id="bib-ethical-web-principles">[ethical-web-principles]</dt><dd>
<a href="https://www.w3.org/TR/ethical-web-principles/"><cite>Ethical Web Principles</cite></a>. Daniel Appelquist; Hadley Beeman; Amy Guy. W3C. 19 March 2024. W3C Working Group Note. URL: <a href="https://www.w3.org/TR/ethical-web-principles/">https://www.w3.org/TR/ethical-web-principles/</a>
<a href="https://www.w3.org/TR/ethical-web-principles/"><cite>Ethical Web Principles</cite></a>. Daniel Appelquist; Hadley Beeman; Amy Guy. W3C. 13 August 2024. W3C Working Group Note. URL: <a href="https://www.w3.org/TR/ethical-web-principles/">https://www.w3.org/TR/ethical-web-principles/</a>
</dd><dt id="bib-fedcm">[FEDCM]</dt><dd>
<a href="https://fedidcg.github.io/FedCM/"><cite>Federated Credential Management API</cite></a>. W3C. Draft Community Group Report. URL: <a href="https://fedidcg.github.io/FedCM/">https://fedidcg.github.io/FedCM/</a>
</dd><dt id="bib-html">[HTML]</dt><dd>
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</dd><dt id="bib-wai-ai">[WAI-AI]</dt><dd>
<a href="https://www.w3.org/WAI/research/ai2023/"><cite>Artificial Intelligence (AI) and Accessibility Research Symposium 2023</cite></a>. W3C Web Accessibility Initiative. Jan 2023. URL: <a href="https://www.w3.org/WAI/research/ai2023/">https://www.w3.org/WAI/research/ai2023/</a>
</dd><dt id="bib-wasm-core-2">[WASM-CORE-2]</dt><dd>
<a href="https://www.w3.org/TR/wasm-core-2/"><cite>WebAssembly Core Specification</cite></a>. Andreas Rossberg. W3C. 28 April 2024. W3C Working Draft. URL: <a href="https://www.w3.org/TR/wasm-core-2/">https://www.w3.org/TR/wasm-core-2/</a>
<a href="https://www.w3.org/TR/wasm-core-2/"><cite>WebAssembly Core Specification</cite></a>. Andreas Rossberg. W3C. 16 August 2024. W3C Working Draft. URL: <a href="https://www.w3.org/TR/wasm-core-2/">https://www.w3.org/TR/wasm-core-2/</a>
</dd><dt id="bib-webgpu">[WEBGPU]</dt><dd>
<a href="https://www.w3.org/TR/webgpu/"><cite>WebGPU</cite></a>. Kai Ninomiya; Brandon Jones; Jim Blandy. W3C. 8 May 2024. W3C Working Draft. URL: <a href="https://www.w3.org/TR/webgpu/">https://www.w3.org/TR/webgpu/</a>
<a href="https://www.w3.org/TR/webgpu/"><cite>WebGPU</cite></a>. Kai Ninomiya; Brandon Jones; Jim Blandy. W3C. 13 August 2024. W3C Working Draft. URL: <a href="https://www.w3.org/TR/webgpu/">https://www.w3.org/TR/webgpu/</a>
</dd><dt id="bib-webmachinelearning-ethics">[webmachinelearning-ethics]</dt><dd>
<a href="https://www.w3.org/TR/webmachinelearning-ethics/"><cite>Ethical Principles for Web Machine Learning</cite></a>. Anssi Kostiainen. W3C. 8 January 2024. W3C Working Group Note. URL: <a href="https://www.w3.org/TR/webmachinelearning-ethics/">https://www.w3.org/TR/webmachinelearning-ethics/</a>
</dd><dt id="bib-webnn">[WEBNN]</dt><dd>
<a href="https://www.w3.org/TR/webnn/"><cite>Web Neural Network API</cite></a>. Ningxin Hu; Dwayne Robinson. W3C. 11 May 2024. W3C Candidate Recommendation. URL: <a href="https://www.w3.org/TR/webnn/">https://www.w3.org/TR/webnn/</a>
<a href="https://www.w3.org/TR/webnn/"><cite>Web Neural Network API</cite></a>. Ningxin Hu; Dwayne Robinson. W3C. 5 August 2024. W3C Candidate Recommendation. URL: <a href="https://www.w3.org/TR/webnn/">https://www.w3.org/TR/webnn/</a>
</dd></dl>
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