Women in AI Research (WiAIR)
WiAIRWomen 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 wil... more
| Publishes | Twice weekly | Episodes | 30 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Education | |||
Listen to this Podcast
Latest Episodes
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 remain vulnerable to manipul... more
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, and responsible NLP.
From exp... more
What does it actually mean for a model to understand audio
Paper: 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 introducing ART (Audio Reasonin... more
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: arxiv.org/abs/2510.15955
In this talk, Kiran Kate (IBM Research) presents new findings fr... more
Reviews
Very informative. Would recommend to others.
Podcast Addict55 months agodlob
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Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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Women in AI Research launched a year ago and published 30 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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