Women in AI Research (WiAIR)

A must-listen episode with Dr. Dieuwke Hupkes, a research scientist at #Meta AI Research, where we dive into AI generalization, LLM robustness, and model evaluation in large language models.

We explore how LLMs handle grammar and hierarchy, how they generalize across tasks and languages, and what consistency tells us about AI alignment.

We also talk about Dieuwke’s journey from physics to NLP, the challenges of peer review, a...

🔍 𝐂𝐚𝐧 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈 𝐛𝐞 𝐝𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝? 𝐇𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐬𝐜𝐚𝐥𝐞 𝐛𝐞𝐲𝐨𝐧𝐝 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐥𝐚𝐰𝐬? 𝐀𝐧𝐝 𝐰𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐫𝐞𝐚𝐥𝐥𝐲 𝐭𝐚𝐤𝐞 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐢𝐧𝐜𝐥𝐮𝐬𝐢𝐯𝐞, 𝐦𝐮𝐥𝐭𝐢𝐥𝐢𝐧𝐠𝐮𝐚𝐥 𝐋𝐋𝐌𝐬?

In this episode of the #WiAIRpodcast, Wanru Zhao discusses decentralized and collaborative AI methods, the limitations of scaling laws, fine-tuning strategies, data attributi...

How can we build AI systems that are fair, explainable, and truly responsible?

In this episode of the #WiAIR podcast, we sit down with Dr. Faiza Khan Khattak, the CTO of an innovative AI startup, with a rich background in both academia and industry. From fairness in machine learning to the realities of ML deployment in healthcare, this conversation is packed with insights, real-world challenges, and powerful reflections.

REFERENCES:

Dr. Angelica Lim, Assistant Professor at Simon Fraser University and Director of the SFU Rosie Lab.

Can robots have feelings? In this episode, we explore the intersection of robotics, machine learning, and developmental psychology, and consider both the technical challenges and philosophical questions surrounding emotional AI. This conversation offers a glimpse into the future of human-robot interaction and the potential for machin...

Aparna Balagopalan is a PhD student in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology.

In this episode, we present the intersection of AI and healthcare. Aparna shares her research on developing fair, interpretable, and robust models for healthcare applications. We explore the unique challenges of applying AI in medical contexts, including data quality, collaboration...

Dr. Amanda Cercas Curry⁠ is a researcher at CENTAI Institute, where she is working on applied NLP, fairness and evaluation.In this episode, we explore the critical issue of bias in AI systems. Amanda shares her expertise on identifying, measuring, and mitigating various forms of bias in language models and other AI applications. We discuss the social and ethical implications of biased AI, and how researchers are working to create m...

Nouha Dziri is an AI research scientist at the Allen Institute for AI, ex-Google DeepMind, ex-Microsoft Research.In this episode, we dive deep into the limitations of transformer models with Nouha Dziri, a research scientist at Allen Institute for AI. Nouha shares insights from her research on understanding the capabilities and constraints of LLMs. We discuss the challenges in reasoning, factuality, and ethical considerations that ...