Interactive Webinar: Mitigating Bias: What To Look For and How to Address It
AI tools are only as fair as the data and decisions behind them. In this session, we’ll break down where bias creeps in, how it impacts real-world outcomes, and what you can do to spot and reduce it.
The webinar is structured in three parts:
1. What Bias Is and How It Enters AI
We’ll clarify what AI bias actually is and where it comes from. Data. Design choices. Feedback loops. Participants will leave with a clear mental model of how bias gets embedded in systems in the first place.
2. Real-World Impact
We’ll look at concrete examples from hiring, healthcare, marketing, and everyday AI tools. The goal is to make this practical. Attendees will see how bias shows up in tools they may already be using.
3. What You Can Do
This is the hands-on portion. Participants will learn simple ways to spot bias in AI outputs, strengthen prompts, build in human review, and ask smarter questions of vendors. No technical background required.
The overall takeaway is empowerment. Bias in AI isn’t abstract. It’s something leaders and teams can actively notice and address with the right habits.
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