Gender diversity in technology – specifically AI – is lacking. Low-biased, ethical, and fair AI systems require a diverse workforce of humans. As investment in AI capabilities increases across industries and countries, there is an urgent need to incorporate diversity in the design of AI systems to ensure the widespread growth of AI is fair and equitable to all. In this panel, we’ll discuss the issue of biases in AI and how increasing diversity in the field of AI can reduce biases and allow for more trustworthy and ethical systems.
Other Resources / Information
- With AI becoming more omnipresent and integrated in our day-to-day lives, we must understand how businesses can create and build trustworthy AI
- Gender diversity in technology is critically important in order to create low-biased, ethical and fair AI systems
- Greater emphasis needs to be placed on how to keep a human-centered focus on the use and regulation of AI, as it becomes the norm for business & govt.
- Beena Ammanath, Executive Director of the Deloitte AI Institute, Deloitte
- Janna Eggers, CEO, Nara Logics
- Alka Patel, Head of AI Ethics Policy, Department of Defense, Joint AI Center
- Kellie McElhaney, Founding Director; Professor, Center for Equity, Gender and Leadership, Berkeley Haas
Sonal Naik, Consultant, Deloitte
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