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Facing the Future: Navigating Algorithmic Bias in Facial Recognition Systems

4月30日周三

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Link provided upon registration

This session is ideal for legal professionals, tech developers, compliance officers, policymakers, and anyone interested in the intersection of AI ethics, digital rights, and regulatory frameworks.

Facing the Future: Navigating Algorithmic Bias in Facial Recognition Systems
Facing the Future: Navigating Algorithmic Bias in Facial Recognition Systems

時間和地點

2025年4月30日 14:00 – GMT-4 15:00

Link provided upon registration

關於本活動

  • Gain insights into how bias manifests in facial recognition systems and its real-world implications.

  • Explore the regulatory landscape, ethical concerns, and compliance requirements surrounding facial recognition technology.

  • Learn about bias mitigation techniques, including dataset diversity, algorithmic transparency, and fairness auditing.

  • Understand the disproportionate effects of facial recognition bias on our diverse people in the Caribbean and propose strategies for equitable AI development.

  • Discover actionable steps businesses, policymakers, and technologists can take to implement responsible and unbiased facial recognition systems.

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