GENdered AI: Addressing Gender Bias in Generative AI

Generative AI (GenAI) is rapidly becoming an integral part of our personal and professional lives. Tools like Microsoft Copilot, GitHub Copilot, and ChatGPT are streamlining workflows, enhancing productivity, and providing support in countless ways. However, alongside these benefits, significant concerns have emerged like the presence of biases within GenAI systems, including gender biases.

These biases are not just technical flaws; they have real-world consequences. They can reinforce harmful stereotypes, perpetuate unequal opportunities, skew decision-making, and hinder innovation. For individuals and organizations, this raises important ethical and practical questions about how to use GenAI responsibly.

This talk is targeted to anyone interested in using GenAI in their work, regardless of technical background. It will cover:
1. How GenAI can improve work processes through practical examples of its potential.
2. The ways gender biases manifest in GenAI tools and the risks they pose in professional contexts.
3. Strategies to mitigate the impact of these biases, and how GenAI can also be a force for promoting diversity and inclusion when used thoughtfully.

The session will provide actionable takeaways, equipping the audience with the knowledge to leverage the benefits of GenAI while addressing its challenges.