AI Ethics Workshop
Join us for a workshop on ethical considerations in AI development and deployment. This workshop will cover topics such as fairness, accountability, transparency, and privacy in AI systems. Participants will learn about frameworks and tools for responsible AI development and engage in hands-on exercises to apply these concepts to real-world scenarios.
Speakers
Dr. Sarah Chen
Dr. Chen leads the AI Ethics Lab at Cyrion Labs. Her research focuses on developing frameworks for responsible AI deployment and addressing algorithmic bias.
View profileDr. James Taylor
Dr. Taylor specializes in transparency and explainability in AI systems, with a focus on natural language processing applications.
View profileAgenda
Introduction to AI Ethics
Overview of key ethical considerations in AI development and deployment.
Fairness in Machine Learning
Discussion of fairness metrics, bias detection, and mitigation strategies in machine learning models.
Break
Transparency and Explainability
Exploration of techniques for making AI systems more transparent and explainable to users and stakeholders.
Lunch Break
Privacy and Security
Discussion of privacy considerations in AI systems, including data protection, anonymization, and secure AI deployment.
Break
Hands-on Exercise
Participants will work in groups to apply ethical frameworks to real-world AI development scenarios.
Conclusion and Next Steps
Summary of key takeaways and resources for continued learning.
Related Research
Towards Ethical Guidelines for AI in Critical Infrastructure
Read paperFairness Metrics for Multi-stakeholder AI Systems
Read paperRegister now to attend this event. Space may be limited.
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