OUR SPEAKERS

speaker_badge_banner_red.png
Share on:
Asset 14icon.png
Asset 39icon.png
Asset 12icon.png

Elizabeth M. Adams is a Responsible AI leader recognized as one of Forbes "15 AI Ethics Leaders Showing The World The Way Of The Future." Elizabeth is a highly-sought-after resource for executives, small business owners, non-profits, educational institutions, and community leaders who are looking to expand their knowledge of AI Ethics and Leadership of Responsible AI™. For over two decades, she has studied the science of business and technology influences on society while leading large-scale technology initiatives for Fortune 500 companies and various government organizations. As a scholar-practitioner, Elizabeth has developed her expertise working with technical and non-technical leaders, creating alliances with community that translate theory into results.

Elizabeth M. Adams

CEO / Affiliate Fellow - Stanford University Institute for Human-Centered AI
Asset 12icon.png
Asset 1TWITTER.png
Asset 39icon.png
Asset 17icon.png
linkedin.png
twitter.png
facebook.png
github.png
English
Languages:
Asset 7TWITTER.png
Location:
Minneapolis, United States
Asset 7TWITTER.png
Can also give an online talk/webinar
Paid only. Contact speaker for pricing!

MY TALKS

Responsible AI

Innovation, Data / AI / ML, Product, Leadership, Soft Skills, Inspirational, Diversity and Inclusion, Women in Tech, Community / Networking, Professional Development, General

Asset 12SLIDES.png
Asset 21talk.png
Asset 11SLIDES.png

AI is generating new business opportunities in every industry imaginable, and it will continue to provide ground-breaking solutions to make life safer, and more efficient.

While these technology advancements may solve some of the world's most difficult problems, they also raise concerns about fairness, discrimination, digital, and bias. This talk will provide leaders with case studies highlighting the urgent need to ensure technology works for all. We'll also discuss how everyone involved in the AI lifecycle can ensure that AI-enabled solutions are fair and equitable.

Asset 1icon.png

Responsible AI

Completed

true

Visible

true

Order

2

Go to lecture page