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.
App Engineering Lead
VP of Analytics
Director of Engineering
Engineering Manager, AI/Vision Products
Director of Enablement