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

0. Introduction

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

1. Intersectionality in AI

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

2. DEI in AI Development

06 - Ethics and values in AI development
07 - Best practices for integrating DEI in AI development

3. Minimizing Bias in AI

08 - The impact of data bias on AI outcomes
09 - Mitigating bias in AI systems

4. The Future of AI and DEI

10 - Responsibility in future AI development and use
11 - Incorporating a DEI lens in AI development and use

Conclusion

12 - Modeling the future you want to see

Navigating AI Through an Intersectional DEI Lens

Authors

Nika White