Whistleblowing channels are a well-established element of corporate governance, helping organizations detect misconduct early and limit legal and reputational harm. This function is especially important in the AI context. This article is written by Rocío Riesco. Her interests include responsible AI, whistleblower protection, and governance challenges related to emerging technologies. Her interests include responsible AI,whistleblower protection, and governance challenges rela

Synthetic Influencers are no longer sci-fi curiosities. They are already adopted by many brands as scalable marketing tools that help sell products by mimicking human behaviour and interacting with users online. AI-generated personas like Lil Miquela, fronting campaigns for Prada and Calvin Klein, and Lu do Magalu, partnered with Samsung and Red Bull, now command millions of followers and operate at a scale no human creator can match without the support of AI tools.

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.

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!

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

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

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.

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 count

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.

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.

This article Sonal Makhija, an AI & data compliance lead at the H&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 secu

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.

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.

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.

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.

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.

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.

The Community-Led AI Audit Guide, developed by the DIVERSIFAIR project, empowers communities and organisations to investigate AI systems

This Expert Series #7 explores the the intersectional bias in the “English-dominant” architecture of AI platforms and tools

Launch of the Fair AI Scrum Handbook by Diversifair