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Women in AI Research (WiAIR)
WiAIR
13 episodes
4 days ago
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.
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Education
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All content for Women in AI Research (WiAIR) is the property of WiAIR and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
Show more...
Education
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Why AI Doesn’t Understand Your Culture? Dr. Vered Shwartz on Cultural Bias in LLMs
Women in AI Research (WiAIR)
1 hour 17 minutes 17 seconds
5 days ago
Why AI Doesn’t Understand Your Culture? Dr. Vered Shwartz on Cultural Bias in LLMs

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 Chair at the Vector Institute) about the cultural blind spots in today’s large language and vision-language models.


REFERENCES:

  • Vered Shwartz Google Scholar profile
  • Book "Lost in Automatic Translation"
  • Elevator Recognition, by The Scottish Comedy Channel
  • Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia
  • ECLeKTic: a Novel Challenge Set for Evaluation of Cross-Lingual Knowledge Transfer
  • WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions
  • Is It Bad to Work All the Time? Cross-Cultural Evaluation of Social Norm Biases in GPT-4
  • Towards Measuring the Representation of Subjective Global Opinions in Language Models
  • I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models
  • From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models
  • CulturalBench: A Robust, Diverse, and ChallengingCultural Benchmark by Human-AI CulturalTeaming


🎧 Subscribe to stay updated on new episodes spotlighting brilliant women shaping the future of AI.

⁠WiAIR website⁠


Follow us at:

  • ⁠LinkedIn⁠
  • ⁠Bluesky⁠
  • ⁠X (Twitter)
Women in AI Research (WiAIR)
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.