<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Women in AI]]></title><description><![CDATA[Women in AI (WAI) is a nonprofit working towards a gender-inclusive AI that benefits global society. ]]></description><link>https://www.womeninai.co/blog</link><generator>RSS for Node</generator><lastBuildDate>Wed, 13 May 2026 09:27:55 GMT</lastBuildDate><atom:link href="https://www.womeninai.co/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Less data, better diagnosis: an efficient AI approach to detecting cardiovascular disease]]></title><description><![CDATA[What makes this research particularly compelling is the convergence of three powerful ideas that are rarely combined in a single experimental study: continuous wavelet transform (CWT) scalogram image generation, masked autoencoder (MAE) self-supervised 

The paper addresses the high computational cost of active learning, where large models must be repeatedly trained to select informative data for labeling. This limits its practicality, especially for large-scale or resource-constrained settings.]]></description><link>https://www.womeninai.co/post/less-data-better-diagnosis-an-efficient-ai-approach-to-detecting-cardiovascular-disease</link><guid isPermaLink="false">6a043d4b68a3e7adcb14dd19</guid><category><![CDATA[WAI LABS]]></category><pubDate>Wed, 13 May 2026 09:03:41 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/1c5cd4_a086bdfab2f04ee0adefa5933f636b3b~mv2.jpg/v1/fit/w_200,h_200,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Faster, cheaper, better - Rethinking how AI models learn]]></title><description><![CDATA[hat problem does this paper address, and why does it matter?

The paper addresses the high computational cost of active learning, where large models must be repeatedly trained to select informative data for labeling. This limits its practicality, especially for large-scale or resource-constrained settings.]]></description><link>https://www.womeninai.co/post/faster-cheaper-better-rethinking-how-ai-models-learn</link><guid isPermaLink="false">69fc30d2f4b0389e41d3f27c</guid><category><![CDATA[LEARN]]></category><category><![CDATA[WAI LABS]]></category><pubDate>Thu, 07 May 2026 06:33:46 GMT</pubDate><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Fair AI in Practice: Join Women in AI at the DIVERSIFAIR Final Conference]]></title><description><![CDATA[The DIVERSIFAIR project concludes with the "Fair AI in Practice" conference on 19 May in Brussels. As a project partner, Women in AI (WAI) is represented by President Dr Alessandra Sala, who delivers the keynote, and Adebola Olomo and Dr Laura Caroli, who join panels on inclusive design. The event focuses on intersectional fairness and practical tools like the Fair AI Scrum Workshop. Seats are limited!]]></description><link>https://www.womeninai.co/post/fair-ai-in-practice-join-women-in-ai-at-the-diversifair-final-conference</link><guid isPermaLink="false">69f9fe242528aeae014728f9</guid><category><![CDATA[LEARN]]></category><category><![CDATA[EVENTS]]></category><pubDate>Tue, 05 May 2026 14:58:52 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/c6be96_fdbedbd767e24f66b3921ae7c877e2f3~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[The Question of Legitimate Interest As Lawful Basis for Training AI Models]]></title><description><![CDATA[In this article, Petruta Pirvan and Sonal Makhija explore several real-world use cases and highlight the practical challenges that organizations commonly encounter.The growing reliance on legitimate interest as the primary lawful basis for AI training has been broadly accepted by EU data protection authorities. In comparison to the impracticality of obtaining consent at scale, legitimate interest offers a more pragmatic path. However, its applicability depends on the specific context.]]></description><link>https://www.womeninai.co/post/the-question-of-legitimate-interest-as-lawful-basis-for-training-ai-models</link><guid isPermaLink="false">69ef9fda7cb0726b2da7f9ab</guid><category><![CDATA[LEARN]]></category><pubDate>Mon, 27 Apr 2026 17:59:58 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_9d1e175fbd8843318bbd61489ffcf4a4~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Women in AI Partners with GITEX KENYA ]]></title><description><![CDATA[As part of the community partnership between WAI Kenya and Gitex Kenya, the WAI community benefits from 50% registration until 28 August.]]></description><link>https://www.womeninai.co/post/women-in-ai-partners-with-gitex-kenya</link><guid isPermaLink="false">69cceda140e74dbec4fac802</guid><category><![CDATA[EVENTS]]></category><category><![CDATA[PARTNERSHIPS]]></category><pubDate>Tue, 14 Apr 2026 22:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_f9013b7ddef746c1855f37f895beadb9~mv2.png/v1/fit/w_740,h_370,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Four Questions Chinese Courts Are Answering About AI]]></title><description><![CDATA[This article is written by Dawn YU, a patent attorney and Shareholder at Jiaquan IP Law in China, focusing on cross-border patent strategy, patent invalidation proceedings, and trade secret protection. She works with technology companies and international partners on patent disputes and innovation protection, especially in areas such as AI, medical devices, and advanced manufacturing. She also led the development of the firm’s AI-assisted tool for monitoring CNIPA post-grant proceedings.

]]></description><link>https://www.womeninai.co/post/four-questions-chinese-courts-are-answering-about-ai</link><guid isPermaLink="false">69dca633b680d4d6db46d2cc</guid><category><![CDATA[LEARN]]></category><pubDate>Mon, 13 Apr 2026 08:27:17 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_d86dc5120e314d80b287b87520c680dd~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Joined by the Seam or a Thread? ]]></title><description><![CDATA[This article is written by Dina Blikshteyn, a partner and Co-Chair of AI and Deep Learning Practice Group and Haynes Boone, LLP. Dina focuses her practice on intellectual property portfolio management, post-grant proceedings, and AI Governance. Dina also regularly speaks and publishes on issues related to AI. ]]></description><link>https://www.womeninai.co/post/joined-by-the-seam-or-a-thread</link><guid isPermaLink="false">69ca3565e7de3cb00605ced1</guid><category><![CDATA[LEARN]]></category><pubDate>Sun, 29 Mar 2026 22:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_e80c78f336154e1f898e9d6d5ca06822~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[From Bits to Meaning: Semantic AI for Wireless]]></title><description><![CDATA[Wireless was born to ship bits. The next wave will ship intent. We still celebrate lower bit error rate (BER) and higher spectral efficiency, yet many modern applications don’t need every bit, they need the right information to make the next decision. If a detector’s confidence is unchanged, why protect the last kilobyte? If a policy is invariant to pixel noise, why retransmit for perfection?]]></description><link>https://www.womeninai.co/post/from-bits-to-meaning-semantic-ai-for-wireless</link><guid isPermaLink="false">69bb19a323f9a3655ef1576f</guid><category><![CDATA[WAI LABS]]></category><pubDate>Tue, 17 Mar 2026 23:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_9ba04d761e2c4d27bfb5a0308ef2897e~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[An Actionable and Transparent AI Governance Framework]]></title><description><![CDATA[This article is written by Anar Simpson.  Anar is a computer scientist and Founder at Orchestrate.Agency, where she leads the development of localized Constitutional AI frameworks for those seeking to align machine speed with human values. As a former Deputy for the UN High-Level Panel on Women's Economic Empowerment and through leadership roles with Technovation, Mozilla, and the U.S. State Department's TechWomen program, her work in digital agency has reached over 100 countries]]></description><link>https://www.womeninai.co/post/an-actionable-and-transparent-ai-governance-framework</link><guid isPermaLink="false">69b7cf2dfaed8c5e63c72027</guid><category><![CDATA[LEARN]]></category><pubDate>Sun, 15 Mar 2026 23:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_ef0dc3e56f5e4000b75b14f01148dc10~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Generative AI, Privilege, and Work Product: What is Protected and What is Not?]]></title><description><![CDATA[This article is written by Dina Blikshteyn, a partner and Co-Chair of AI and Deep Learning Practice Group and Haynes Boone, LLP. Dina focuses her practice on intellectual property portfolio management, post-grant proceedings, and AI Governance. Dina also regularly speaks and publishes on issues related to AI. ]]></description><link>https://www.womeninai.co/post/generative-ai-privilege-and-work-product-what-is-protected-and-what-is-not</link><guid isPermaLink="false">69a7de48ffff75773eb8bb8f</guid><category><![CDATA[LEARN]]></category><pubDate>Mon, 09 Mar 2026 07:42:49 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_2467f3aafa744283b0cb4b0e25cab670~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Building WAI Labs]]></title><description><![CDATA[Women in Ai Labs are to ensure women are also in the center and not just on the sidelines in shaping AI technology. In this blog, I lay out the essence of why and how we carry this out.]]></description><link>https://www.womeninai.co/post/building-wai-labs</link><guid isPermaLink="false">69931dd8884976137da9b975</guid><category><![CDATA[WAI LABS]]></category><pubDate>Mon, 16 Feb 2026 13:50:41 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_d27f37371e86470ca56c218a62630ae4~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Is it Too Late to Govern Agentic AI? Best Practices to Mitigate Risk and Leverage Benefits, for the Sake of Argument]]></title><description><![CDATA[AI agents are now threatening humans. This is no longer a controlled research scenario, as with Anthropic’s evaluations of Claude Opus 4, where the model chose to blackmail a hypothetical human operator to avoid getting shut down. That was so 2025. ]]></description><link>https://www.womeninai.co/post/is-it-too-late-to-govern-agentic-ai-best-practices-to-mitigate-risk-and-leverage-benefits-for-the</link><guid isPermaLink="false">69926c86cf429c4fcb4a637d</guid><category><![CDATA[LEARN]]></category><pubDate>Sun, 15 Feb 2026 23:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_8449a6c831584877a7b168bde5046a7b~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Adopting AI in Law Schools: Why Being Human Matters ]]></title><description><![CDATA[A second-year law student reflects on entering legal education as generative AI rapidly reshapes learning, yet remains cautiously acknowledged in academia. Drawing on her engineering background, Maddison contrasts earlier tech-forward training with law school’s more conservative approach, shaped by the school’s new AI policy. ]]></description><link>https://www.womeninai.co/post/adopting-ai-in-law-schools-why-being-human-matters</link><guid isPermaLink="false">6980b029396306036eccf4e5</guid><pubDate>Mon, 02 Feb 2026 14:18:31 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_87aeb2e3d064402ab6644c6b3e69ba1f~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[Navigating the AI Act &#38; AI Governance Risks ]]></title><description><![CDATA[This article Sonal Makhija, an AI &#38; data compliance lead at the H&#38;M Group, where she has led the AI Act implementation. It explores the kind of legal ambiguity that small and medium enterprises face when navigating the AI Act and the resulting need for greater clarity and practical guidance. It also discusses how AI governance risks arising out of everyday AI use cases, which typically fall within limited to low-risk classifications under the AI Act, but pose significant security, privacy, and d]]></description><link>https://www.womeninai.co/post/navigating-the-ai-act-ai-governance-risks</link><guid isPermaLink="false">696e0c9dd122d90ed969f6f9</guid><category><![CDATA[LEARN]]></category><pubDate>Mon, 19 Jan 2026 11:03:50 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_dccf666e5e6e48a6a23f8d6df54c7bdc~mv2.jpg/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[2025 Year In Review - The Global Women in AI Ethics &#38; Culture Office]]></title><description><![CDATA[What a year this has been for AI! While the rest of the world is just trying to keep up with the pace of innovation and growing reliance on AI, the Ethics and Culture Office for Women in AI has been busy with community engagement, launching our Global Expert Series, and working to promote the Global voice of @WomeninAI. ]]></description><link>https://www.womeninai.co/post/2025-year-in-review-the-global-women-in-ai-ethics-culture-office</link><guid isPermaLink="false">6950592ca4852561114fca45</guid><category><![CDATA[LEARN]]></category><category><![CDATA[MEET OUR COMMUNITY]]></category><category><![CDATA[EVENTS]]></category><pubDate>Sun, 28 Dec 2025 23:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_24ebec784e83459487bc7bd8f471fb21~mv2.png/v1/fit/w_925,h_463,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[AEQUITAS Educational Video Series: Making AI Accessible for All]]></title><description><![CDATA[AEQUITAS has launched a new educational tutorial video series designed to make artificial intelligence more accessible, transparent, and understandable to everyone, not just technical experts.]]></description><link>https://www.womeninai.co/post/aequitas-educational-video-series-making-ai-accessible-for-all</link><guid isPermaLink="false">68ada9d6d8941e921d3366b7</guid><category><![CDATA[LEARN]]></category><pubDate>Sat, 27 Dec 2025 22:02:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/c6be96_06eec3072a234381919b3ae9e820020b~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[AI Agents in Action: Why Evaluation and Governance Matter Now]]></title><description><![CDATA[As AI agents become more capable — reasoning, collaborating, adapting, and acting independently — the questions of evaluation, safety, governance, and trust become even more urgent.

To help shape this global conversation, we’ve highlighted a few key insights from the World Economic Forum white paper contributed to by Nebahat Arslan, our Global Head of Partnerships.

These insights point to what responsible, inclusive AI must look like in the age of agentic systems.]]></description><link>https://www.womeninai.co/post/ai-agents-in-action-why-evaluation-and-governance-matter-now</link><guid isPermaLink="false">69489f28cd28170851f5b827</guid><category><![CDATA[LEARN]]></category><pubDate>Mon, 22 Dec 2025 01:36:51 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_1184c175f39b4f7ea7baa4ff524ea375~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[WAI LEGAL INSIGHTS:  2025 - A Year in Review]]></title><description><![CDATA[This article is written by Dina Blikshteyn and Silvia A. Carretta, editors of WAI Legal Insights. We wish all our readers a happy, healthy, and successful New Year, and we look forward to continuing the conversation on artificial intelligence and law in 2026.]]></description><link>https://www.womeninai.co/post/wai-legal-insights-2025-a-year-in-review</link><guid isPermaLink="false">694894cbcd28170851f5a241</guid><category><![CDATA[LEARN]]></category><pubDate>Sun, 21 Dec 2025 23:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_29e5ca9dfe0646558c5e8a9ad1fa693c~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[2025 Women in AI Expert Series: Solving the Digital Divide with Artificial Intelligence]]></title><description><![CDATA[Jacodia Fransman will be talking about the Digital Divide in Namibia’s Higher Education ecosystem and how case studies from the Namibia University of Science and Technology (NUST) demonstrated how integrating AI into curricula can be a transformative force for education in Namibia.]]></description><link>https://www.womeninai.co/post/2025-women-in-ai-expert-series-solving-the-digital-divide-with-artificial-intelligence</link><guid isPermaLink="false">6942954a6e99824bc10585d4</guid><category><![CDATA[LEARN]]></category><pubDate>Wed, 17 Dec 2025 11:42:17 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_610267de1877493ea44025921da21a35~mv2.png/v1/fit/w_780,h_390,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item><item><title><![CDATA[How AI Literacy Drives Strategic Value and Safeguards Your Organisation]]></title><description><![CDATA[This article is written by Anny Ho. Anny  is an expert lawyer specializing in artificial intelligence, data protection, and privacy across global industries. She works at an innovative electric automotive company where she leads European data protection and global AI governance. In addition, Anny is a Board Member of the Data Protection Chapter at the Dutch Association of Company Lawyers.]]></description><link>https://www.womeninai.co/post/how-ai-literacy-drives-strategic-value-and-safeguards-your-organisation</link><guid isPermaLink="false">6941556c031fac87aaa17130</guid><category><![CDATA[LEARN]]></category><pubDate>Tue, 16 Dec 2025 13:20:17 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4b0d76_ff1b9971cbe04ae586146d7461cda36c~mv2.png/v1/fit/w_1000,h_600,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>WAI CONTENT TEAM</dc:creator></item></channel></rss>