WomenAizer

Womenaizer Podcast

WomenAizer is a podcast and media initiative dedicated to highlighting the voices, stories, and impact of women working at the intersection of artificial intelligence and fundamental rights. By bridging cutting-edge scholarship with accessible, inspiring conversations, we amplify women shaping critical debates on AI, law, and governance exploring how innovation and rights can move forward together. Dive with Frédérique Boulanger and Yamina Bouadi into inspiring conversations with women experts in AI, law and emerging technologies, shaping the future of our digital society! Hosted on Ausha. See ausha.co/privacy-policy for more information.

Episodes

  1. Episode 2: In discussion with Salomé Lannier (part 1) - AI-based detection of human exploitation

    14 APR

    Episode 2: In discussion with Salomé Lannier (part 1) - AI-based detection of human exploitation

    Episode 2: In discussion with Salomé Lannier - AI-based detection of human exploitation Introduction: 00:00 - 01:46 Salomé Lannier's presentation: 01:46 - 02:46 Her research background and interests: 02:47 - 07:57PROTEX project (Protect against exploitation): 07:58 - 10:35 The necessity of interdisciplinary and comparative perspectives: 10:36 - 23:20 Practical challenges of supervision by authorities and platforms: 23:20 - 28:50 Tech perspective: AI tools detecting human trafficking: 28:51 - 35:01 EU AI Act applicability to these tools and the consequences on "potential" victims of exploitation: 35:01 - 43:23 What about the AI-based tools used by the platforms? The answer is in the next episode, stay tuned :) In this episode, we welcomed Salomé Lannier, Postdoctoral Researcher at the University of Luxembourg, whose work takes part at the intersection of criminal law, digital regulation, and human exploitation. Drawing on her research and the PROTEX project (https://lnkd.in/d-mW4ujb), this conversation explores one of the most complex challenges in today’s digital landscape: how AI systems are used to detect human trafficking and the legal and ethical risks they raise. From the absence of a clear legal definition of “exploitation” to the growing use of algorithmic tools by law enforcement and platforms, the episode highlights a critical tension: tools designed to protect can also misidentify, discriminate, or even harm the very individuals they aim to support. We discuss the use of AI in detecting online sexual exploitation, the risks of biased or opaque data labelling. The second part of our discussion with Salomé, in which we discuss on the blurred abilities of platforms and law enforcement and limits of existing legal frameworks, will follow in next episode, stay tuned. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    44 min
  2. Episode 1: In discussion with Niovi Vavoula - When migration meets tech

    6 MAR

    Episode 1: In discussion with Niovi Vavoula - When migration meets tech

    In this first episode of WomenAizer, we explore the intersection of artificial intelligence, migration governance, and fundamental rights with Niovi Vavoula. Drawing on her extensive research on EU migration law and digital surveillance, the conversation examines how algorithmic profiling, automated decision-making, and interoperable large-scale IT systems are transforming border management across Europe. We discuss the evolution of EU surveillance law, the role of the Court of Justice of the European Union in shaping judicial benchmarks, and the increasing reliance on data-driven tools in systems such as ETIAS and VIS. The episode also addresses the implications of the newly adopted AI Act, the limits of the GDPR, and the persistent difficulty of ensuring meaningful remedies for individuals affected by automated decision-making. As migration governance becomes increasingly digital, questions of vulnerability, accountability, and data protection move to the forefront of legal debate. At its core, this conversation asks a critical question: how can the European Union reconcile its security objectives with its commitment to fundamental rights in an era of AI-driven border governance?Introduction: 00:00 - 01:34 Niovi Vavoula's background: 01:35 - 14:10 Legal perspectives: 14:11 - 33:00 Technological perspectives: 33:01 - 48:07 Signature questions: 48:08 - 51:49 Selected References: Vavoula, N. (2021). Artificial Intelligence at Schengen Borders: Automated Processing, Algorithmic Profiling and Facial Recognition in the Era of Techno-Solutionism. European Journal of Migration and Law. Vavoula, N. (2022). Immigration and Privacy in the Law of the European Union. Brill Nijhoff. Vavoula, N. (2023). Data Retention and the Future of Large-Scale Surveillance: The Evolution and Contestation of Judicial Benchmarks. European Law Journal. Vavoula, N. (2023). (Discriminatory) Algorithmic Profiling and Ineffective Remedies: The Cases of ETIAS and VIS. ASYL. Vavoula, N. (2024). Algorithmic Accountability Through the “Human over the Loop” in Interoperable and AI-Reliant EU Large-Scale IT Systems. European Papers. Vavoula, N. (2024). The Tr-AI-nsformation of EU Migration, Asylum and Border Management. Computer Law & Security Review. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    52 min
  • 2 Episodes

About

WomenAizer is a podcast and media initiative dedicated to highlighting the voices, stories, and impact of women working at the intersection of artificial intelligence and fundamental rights. By bridging cutting-edge scholarship with accessible, inspiring conversations, we amplify women shaping critical debates on AI, law, and governance exploring how innovation and rights can move forward together. Dive with Frédérique Boulanger and Yamina Bouadi into inspiring conversations with women experts in AI, law and emerging technologies, shaping the future of our digital society! Hosted on Ausha. See ausha.co/privacy-policy for more information.

Information

  • Creator
    Womenaizer Podcast
  • Years Active
    2k
  • Episodes
    2
  • Rating
    Clean
  • Copyright
    © Womenaizer Podcast
  • Show Website
    WomenAizer