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.
Women in AI Research (WiAIR)
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31 episodes
Updated Daily
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20
Podcast Authority
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Podcast Overview
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.
Language
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Publishing Since
3/7/2025
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Recent Episodes
June 17, 2026
Can Language Alone Create Intelligence? Insights from Neuroscience and AI, with Dr. Anna Ivanova
<p>Do large language models truly understand language—or are they sophisticated pattern matchers?</p><p><br></p><p>In this conversation, Dr. Anna Ivanova (Asst. Prof. at Georgia Tech) explores one of the important questions in AI: the relationship between language, thought, and intelligence. Drawing from neuroscience, cognitive science, and AI research, Anna explains why language understanding is harder to define than most people realize, why reasoning and language are not the same thing, and what today's LLMs can and cannot tell us about human cognition.</p><p><br></p><p>Key Topics:</p><ul><li>Do LLMs understand language or merely generate convincing text?</li><li>The difference between formal and functional linguistic competence</li><li>What LLMs can learn from language alone—and what they cannot</li><li>Why human cognition and AI cognition may be fundamentally different</li><li>Theory of mind, reasoning, and common misconceptions about AI capabilities</li><li>How cognitive scientists evaluate the "thinking" abilities of LLMs</li><li>What neuroscience can teach AI researchers about interpretability</li><li>Why understanding AI requires studying both behavior and internal representations</li><li>The future of multimodal models and AI cognition</li></ul><p><br></p><p>Resources & Links:</p><ul><li><a href="https://arxiv.org/abs/2511.19757" target="_blank" rel="noopener noreferer">What does it mean to understand language?</a></li><li><a href="https://static1.squarespace.com/static/64c800a2f333f04f50bf2020/t/66f46f57900cdf4b7060e3ec/1727295320856/Mahowald_Ivanova_et_al_2024_TiCS.pdf" target="_blank" rel="noopener noreferer">Dissociating language and thought in large language models</a></li><li><a href="https://drive.google.com/file/d/1OPCTpkluqs8xY3Bs6_--18eXU9u06oEN/view" target="_blank" rel="noopener noreferer">How to evaluate the cognitive abilities of LLMs</a></li><li><a href="https://arxiv.org/abs/2510.18871" target="_blank" rel="noopener noreferer">How Do LLMs Use Their Depth?</a></li><li><a href="https://github.com/AlignmentResearch/tuned-lens" target="_blank" rel="noopener noreferer">True Lens</a></li></ul><p><br></p><p>Connect with Dr. Anna Ivanova:</p><p><a href="https://bsky.app/profile/neuranna.bsky.social" target="_blank" rel="noopener noreferer">https://bsky.app/profile/neuranna.bsky.social</a></p><p><a href="https://x.com/neuranna" target="_blank" rel="noopener noreferer">https://x.com/neuranna</a></p><p><br></p><p>🎧 Subscribe to stay updated on new episodes spotlighting brilliant women shaping the future of AI.</p><p><br></p><p>Follow WiAIR at:</p><ul><li><a href="https://www.linkedin.com/company/women-in-ai-research/ " target="_blank" rel="noopener noreferer">LinkedIn</a></li><li><a href="https://bsky.app/profile/wiair.bsky.social" target="_blank" rel="noopener noreferer">Bluesky</a></li><li><a href="https://x.com/WiAIR_podcast" target="_blank" rel="noopener noreferer">X (Twitter)</a></li><li><a href="https://women-in-ai-research.github.io">WiAIR website</a></li></ul>
April 17, 2026
100% Jailbreak Success? The Hard Truth About AI Safety, with Dr. Saadia Gabriel (Part 2)
<p>What actually happens when AI systems fail in the real world?</p><p><br /></p><p>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 remain vulnerable to manipulation - and what that means for safety, fairness, and society.</p><p><br /></p><p>From multi-turn jailbreaking attacks with near 100% success rates to misinformation shaping human beliefs, this conversation goes beyond surface-level concerns and dives into how harms actually emerge in deployed systems.</p><p><br /></p><p>We explore:</p><ul><li>Why current guardrails are not enough</li><li>How realistic attack scenarios differ from academic benchmarks</li><li>The connection between model vulnerabilities and societal harm</li><li>What AI can (and cannot) do about misinformation and persuasion</li><li>The open research problems that still don’t have solutions</li></ul><p><br /></p><p>Resources & Links:</p><ul><li><a href="https://aclanthology.org/2024.emnlp-main.487/" target="_blank" rel="ugc noopener noreferrer">Generative AI in the Era of 'Alternative Facts'</a></li><li><a href="https://aclanthology.org/2025.emnlp-main.1571/" target="_blank" rel="ugc noopener noreferrer">ModelCitizens: Representing Community Voices in Online Safety</a></li><li><a href="https://arxiv.org/abs/2601.11778" target="_blank" rel="ugc noopener noreferrer">Translation as a Scalable Proxy for Multilingual Evaluation</a></li></ul><p><br /></p><p>Connect with Dr. Saadia Gabriel:</p><ul><li><a href="https://x.com/GabrielSaadia" target="_blank" rel="ugc noopener noreferrer">https://x.com/GabrielSaadia</a></li><li><a href="https://bsky.app/profile/skgabrie.bsky.social" target="_blank" rel="ugc noopener noreferrer">https://bsky.app/profile/skgabrie.bsky.social</a></li></ul><p><br /></p>
April 15, 2026
From Hate Speech to Best Paper: Building Safer AI Systems, with Dr. Saadia Gabriel (Part 1)
<p>What does it mean to build AI systems we can actually trust?</p><p><br></p><p>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, and responsible NLP.</p><p><br></p><p>From experiencing targeted hate speech firsthand to receiving a best paper nomination, Saadia shares how her lived experience shaped her research — and why language models must be designed with both capability and risk in mind.</p><p><br></p><p>🧠 In this episode, we cover:</p><ul><li>How personal experiences influence AI research directions</li><li>The intersection of NLP, security, and privacy</li><li>Why LLMs can be both powerful and dangerous</li><li>What it means to build trustworthy AI systems</li><li>Lessons from working across multiple research paradigms</li><li>How to pursue high-impact research as a PhD or early-career scientist</li></ul><p><br></p><p>Resources & Links:</p><ul><li><a href="https://arxiv.org/abs/2504.13203" target="_blank" rel="noopener noreferer">X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents</a></li></ul><p><br></p><p>Connect with Dr. Saadia Gabriel:</p><ul><li><a href="https://x.com/GabrielSaadia" target="_blank" rel="noopener noreferer">https://x.com/GabrielSaadia</a></li><li><a href="https://bsky.app/profile/skgabrie.bsky.social" target="_blank" rel="noopener noreferer">https://bsky.app/profile/skgabrie.bsky.social</a></li></ul>
31 total episodes available
Recent guests on Women in AI Research (WiAIR)
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Dr Swabha Swayamdipta
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Maria Ryskina
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Dr Maria Antoniak
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Dr Annie En-Shiun Lee
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Dr Vered Shwartz
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Dr Ana Marasović
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Dr Valentina Pyatkin
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Simeng Sophia Han
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Dr Abhilasha Ravichander
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Dr Dieuwke Hupkes
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Wanru Zhao
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Dr Faiza Khan Khattak
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