Navigating AI Through an Intersectional DEI Lens

Course details

What happens at the intersection of DEI and AI? How can AI be harnessed for social justice? Join instructor Nika White as she shows you how to navigate the complexities of AI by adopting an intersectional DEI lens. This course was designed for anyone interested in how these two pressing topics converge, including developers, policymakers, and individual users curious to find out more.

Explore historical examples of bias in AI and how multiple forms of bias can intersect with AI systems. Discover the core concepts, ethics, and values of AI development, as well as the best practices for integrating DEI into everyday AI workflows. Dr. White offers insights on minimizing bias in AI systems and outcomes, equipping you with the skills you need to develop and start modeling the future of AI and DEI across your organization.

Concepts

Introduction

AI and its impact on diversity, equity, and inclusion (DEI)
The vital link between DEI and AI

Intersectionality in AI

Navigating intersectionality
Unveiling the tangle - Intersecting bias in AI systems
The impact of intersectionality on AI development

DEI in AI Development

Ethics and values in AI development
Best practices for integrating DEI in AI development

Minimizing Bias in AI

The impact of data bias on AI outcomes
Mitigating bias in AI systems

The Future of AI and DEI

Responsibility in future AI development and use
Incorporating a DEI lens in AI development and use

Conclusion

Modeling the future you want to see