Want a diverse workplace? Your algorithms don't.
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Join an expert panel to discuss the future of workplace diversity and why AI may not be helping. Hear from strong women leaders who beat the odds to succeed in STEM careers. Learn what's happening in academia to develop responsible AI that may fix Silicon Valley's gender gap.
Our expert panel includes:
Dr. James Zou, Professor of Computer Science and Electrical Engineering at Stanford University.
Dr. Zou is part of the Stanford AI Lab and his pioneering research while at Microsoft helped define the emerging field of algorithm bias. His recent work analyzed 100 years of gender and ethnic stereotypes using word embeddings.
Magaly Drant, Director of Engineering Operations at ServiceNow
Magaly's one of a small group of engineering leaders responsible for developing products recently named "Most Innovative Enterprise Technology" by Forbes. Magaly joined the company in 2011 from HP and holds degrees in Math and Physics.
Shannon Burns, Internal Tools Engineer at Slack
Shannon joined a startup called Slack in 2016 that was recently valued at $5B. She was an early member of the Developer Relations team where she helped grow a platform and ecosystem that now boasts 1,500 apps and 200,000 weekly active developers.
Moderator: Dan Turchin, co-founder and Chief Product Officer of Astound
Why are we hosting this event? Because it's about time everyone who cares about the future of work starts talking about the impact of AI on jobs, diversity, stereotypes, and bias.
AI is making hiring decisions, keeping neighborhoods safe, and designing curricula in schools. As a community of AI developers, it's critical that we understand how these decisions are made.
All "intelligence" behind AI requires people, algorithms, and data. We unintentionally bring our biases to work. The single biggest threat to broader adoption of AI technology is developers reinforcing cultural biases in the decision-making process.
Everyone is welcome. Bring your kids. Bring your questions. Be inspired.