AI and analytics from an HBCU perspective has been saved
AI and analytics from an HBCU perspective
The need to maintain a diverse AI team to help mitigate unwanted racial and gender biases.
Our fourth event in the series was in partnership with historically black colleges and universities (HBCUs) Tougaloo College, Morgan State University, Hampton University and the Deloitte AI Institute.
Leading Conversations in AI
On March 8, 2021, the Deloitte AI Institute launched a monthly series, called “Leading Conversations in AI,” to discuss top-of-mind AI topics with leading experts from startups, enterprises, academia, and research groups. This is a virtual event and open to everyone interested to learn more about AI. The most interesting aspect of this series is that all our speakers will always be women and our humble attempt to highlight women in AI role models.
Throughout the series, our speakers will dive deep into a multitude of dimensions of AI in each session - conversational AI, robotics, ethics, scaling AI, Future of Work, diversity in AI, synthetic data, MLOps, neuromorphic computing, computer vision, data and AI governance, speech recognition and many more.
Our fourth event in the series was in partnership with historically black colleges and universities (HBCUs) Tougaloo College, Morgan State University, Hampton University and the Deloitte AI Institute. The conversation centered on the need to maintain a diverse AI team to help mitigate unwanted racial and gender biases.
- Lesia L. Crumpton-Young, Ph.D., provost and senior vice president for academic affairs, Morgan State University
- Melissa C. McCoy, Ph.D., interim director of Career Pathways/Career Services, Tougaloo College
- Janett Walters-Williams, Ph.D., assistant professor of science and technology, Hampton University
Emcee: Tasha Austin, principal, Deloitte AI and data analytics
Moderator: Kate Schmidt, senior manager, Deloitte AI Institute
The role of HBCUs in STEM and AI
To bring in multiple perspectives and generate superior solutions, diversifying STEM fields and backgrounds especially in the AI workforce is important. Diverse teams allow multiple perspectives to be brought to bear on the design of AI applications. Because this type of technology will learn and improve over time, diversity of thought is critical. Companies who diversify their STEM workforce will not only add to the body of knowledge but also enable them to serve as role models as they achieve success.
This article is part of an ongoing series of interviews with executives. The executives’ participation in this article are solely for educational purposes based on their knowledge of the subject and the views expressed by them are solely their own. This article should not be deemed or construed to be for the purpose of soliciting business for any of the companies mentioned, nor does Deloitte advocate or endorse the services or products provided by these companies.
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