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Webinar | Intersectional Fairness in AI: Legal Frameworks, Tools, and Learning Opportunities
Join us for an in-depth online workshop, hosted by the BIAS and DIVERSIFAIR projects in partnership with the Crowdhelix Trustworthy AI Helix community, to discuss and shape the future of fair and ethical AI in recruitment and workplace decision-making. This interactive event is an excellent opportunity for researchers, industry professionals, HR experts, and policy advocates to contribute to the development of more inclusive AI practices.
Join us for an in-depth online workshop, hosted by the BIAS and DIVERSIFAIR projects in partnership with the Crowdhelix Trustworthy AI Helix community, to discuss and shape the future of fair and ethical AI in recruitment and workplace decision-making. This interactive event is an excellent opportunity for researchers, industry professionals, HR experts, and policy advocates to contribute to the development of more inclusive AI practices.
Workshop objectives 🎯
- Explore intersectional fairness in AI: Address key biases in AI systems impacting recruitment and workplace equity, focusing on race, gender, and social identities.
- Engage in policy discussions: Understand the EU AI Act’s implications on workplace AI practices.
- Access practical tools for fair AI use: Learn about tools for AI auditing and bias detection to ensure ethical AI implementations.
Agenda 🕒
When & where? 📅📍
- Date: Tuesday, December 10, 2024
- Time: 15:00–16:45 WET
- Location: Online
What you’ll gain? ✨
- Learn about biases in AI and their impact on hiring
- Access innovative tools for AI auditing and fair use
- Engage in discussions on legal frameworks like the AI Act
- Network within the Trustworthy AI community on Crowdhelix
Who should attend? 👥
Researchers, HR specialists, policymakers, educators, and social advocates working to make AI fairer and more inclusive.
Who is the responsible partner? 🤝
Crowdhelix, in collaboration with BIAS and DIVERSIFAIR partners.
💡 Join us for this engaging session and contribute to building a fairer AI landscape. Register now to be part of this impactful discussion!