Women in AI Research (WiAIR)
From Hate Speech to Best Paper: Building Safer AI Systems, with Dr. Saadia Gabriel (Part 1)
15 April 2026 29:22 WiAIR
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About this episode
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 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.
🧠 In this episode, we cover:
- How personal experiences influence AI research directions
- The intersection of NLP, security, and privacy
- Why LLMs can be both powerful and dangerous
- What it means to build trustworthy AI systems
- Lessons from working across multiple research paradigms
- How to pursue high-impact research as a PhD or early-career scientist
Resources & Links:
- X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
Connect with Dr. Saadia Gabriel:
- https://x.com/GabrielSaadia
- https://bsky.app/profile/skgabrie.bsky.social
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