Hosted by WiAIR · 🇺🇸 US · EN · 31 episodes
Established thought leaders with verified media credentials.
Women in AI Research (WiAIR) is a podcast dedicated to celebrating the remarkable contributions of female AI researchers from around the globe. Our mission is to challenge the prevailing perception that AI research is predominantly male-driven. Our goal is to empower early career researchers, especially women, to pursue their passion for AI and make an impact in this rapidly growing field. You will learn from women at different career stages, stay updated on the latest research and advancements, and hear powerful stories of overcoming obstacles and breaking stereotypes.
WiAIR hosts Women in AI Research (WiAIR), a education show with 31 episodes published.
Do large language models truly understand language—or are they sophisticated pattern matchers? In this conversation, Dr. Anna Ivanova (Asst. Prof. at Georgia Tech) explores one of the important questions in AI: the relat
What actually happens when AI systems fail in the real world? In this final part of our conversation with Saadia Gabriel (UCLA), we unpack one of the most urgent challenges in modern AI: why even the most advanced models
What does it mean to build AI systems we can actually trust? In this first part of our conversation with Saadia Gabriel (UCLA), we explore the deeply personal and technical journey behind her work on AI safety, misuse, a
What does it actually mean for a model to understand audio Paper: https://arxiv.org/abs/2601.19673 In this episode, I talk with Iwona Christop, a PhD student at Adam Mickiewicz University, about her recent EACL paper int
LLM-based agents are everywhere, but most research focuses on just one step: getting the model to call the right tool. What happens after that? Paper: https://arxiv.org/abs/2510.15955 In this talk, Kiran Kate (IBM Resear
In this episode of #WiAIRpodcast, we dive into a subtle but critical question: Does adding reasoning actually make LLMs safer and more reliable? Paper: https://arxiv.org/abs/2510.21049 Atoosa Chegini (University of Maryl
LLMs are notoriously overconfident, but can we teach them to admit uncertainty? In this episode, Maor Juliet Lavi (Tel Aviv University) presents her EACL 2026 paper on Detecting Unanswerability in Large Language Models w
LLMs often give different answers to the same question, just phrased differently. But how do we measure and understand this behaviour rigorously? In this episode of the #WiAIRpodcast, Cléa Chataigner (Mila, McGill) prese
How much control do persona prompts actually give us over LLM behaviour? In this episode of #WiAIRpodcast, Jing Yang (TU Berlin) speaks about the study on persona prompting in socially sensitive tasks, including hate spe
What if adding math data actually improves reasoning in non-math tasks? In this episode of #WiAIRpodcast, Syeda from the Carnegie Mellon University and NVIDIA presents Nemotron CrossThink (EACL 2026 Oral) - a framework t
Are the techniques we use to control language models quietly making them less safe? Paper: https://arxiv.org/abs/2602.06256 In this EACL 2026 paper, Navita Goyal (University of Maryland) challenges a core assumption behi
What happens when humans and large language models try to persuade each other? In this episode of Women in AI Research, we sit down with Angana Borah (University of Michigan) to unpack her EACL 2026 paper on misinformati
In this conversation, Dr. Hila Gonen (Assistant Professor at the University of British Columbia) joins us to explore the deep insights into how large language models (LLMs) leak semantic information, behave across langua
Are reasoning models actually reasoning — or just producing convincing stories? Our guest in this episode of #WiAIRpodcast is Letitia Parcalabescu, the creator of the @AICoffeeBreak youtube channel. Letitia joins Jekater
As language models become more capable, the hardest questions are no longer just about performance, but about safety, interpretation, and control. In this episode of Women in AI Research, we speak with Swabha Swayamdipta
Do large language models actually understand meaning — or are we over-interpreting impressive behavior? In this episode, we speak with Dr. Maria Ryskina, CIFAR AI Safety Postdoctoral Fellow at the Vector Institute for AI
AI doesn’t just process text — it takes in our cultures, reflects our hierarchies, and can make existing power structures even stronger. In this episode of Women in AI Research, Jekaterina Novikova and Malikeh Ehgaghi sp
Is English just one of the languages you speak? If so, the AI tools you use might miss things that makes your voice multilingual. In this episode of Women in AI Research, Jekaterina Novikova speaks with Dr. Annie En-Shiu
Are today’s AI systems truly global — or just Western by design? 🌍 In this episode of Women in AI Research, Jekaterina Novikova and Malikeh Ehgaghi speak with Dr. Vered Shwartz (Assistant Professor at UBC and CIFAR AI C
In this conversation, Jekaterina Novikova and Malikeh Ehgaghi interview Ana Marasović , an expert in AI trustworthiness, focusing on the complexities of explainability, the realities of academic research, and the dynamic
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Women in AI Research (WiAIR) is hosted by WiAIR. The show is categorised under education and has published 31 episodes.
Women in AI Research (WiAIR) has published 31 episodes.
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