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About this event
According to the ACLU, there is ample evidence of the discriminatory harm that AI tools can cause to already marginalized groups. Likewise, bias is in the data used to train the AI — data that is often discriminatory or unrepresentative for people of color, women, or other marginalized groups — and can rear its head throughout the AI’s design, development, implementation, and use.
So how do we make artificial intelligence equitable? From job opportunities to evolving technology, join Techqueria and KeepTruckin to hear from experts working in the AI field on how we can create AI that is just and equitable.
Techqueria Team (email@example.com) is inviting you to a scheduled Zoom meeting.
Join Zoom Meeting
Meeting ID: 861 5928 4662
Director of Engineering
VP of Analytics
App Engineering Lead
Engineering Manager, AI/Vision Products
Director of Enablement