Can You Trust an AI to Judge Fairly? Exploring LLM Biases

Save to stack
IBM Technology Open on YouTube ↗
IBM Company AI Agents Vertical AI Ethics Topic Educators Audience
From the creator

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdeGgT Learn more about LLM as a Judge here → https://ibm.biz/BdeGgk Can AI truly judge fairly? 🤔 Pin-Yu Chen explores fairness challenges in Large Language Models (LLMs) as judges, revealing biases like position, verbosity, and self-enhancement. Discover how improving reliability in generative AI impacts ethical decision-making. 🌐 AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdeGgU #ai #generativeai #aiethics

Stop watching · start building
Matched to IBM

Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

◆ Fri 13 Nov 2026 ◆ KOKO, London
Get tickets See every event
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026
Find a job · 6 live roles

Jobs in AI.
Apply now.

Apply once › get screened › meet the company

See all roles

More like this

Running one yourself?

List your AI event,
wherever it is.

A meetup, a workshop, a hackathon, a conference. Any city, or online. Tell us about it and it lands in front of people already learning this stuff.

List your AI event