Why More Diversity in Competitive AI Roles Requires the Reinvention of the Internship Pipelineby@nesquena

Why More Diversity in Competitive AI Roles Requires the Reinvention of the Internship Pipeline

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AI systems learn from data generated by human decisions, so they are reflecting back to us our own society’s biases encoded and amplified into our technology. Less than 5% of the workforce at the leading tech companies were Black or Latinx, a study by AI Now Institute found. The more people from different backgrounds you have working with data, the more likely it will be that the team will be able to spot bias before it is too late. The more diverse representation across race, gender, sexual orientation, age, economic conditions and more makes for more accurate and ethical AI systems.

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by Nathan Esquenazi @nesquena.Co-Founder at CodePath - a 501(c)(3) nonprofit transforming computer science education. Learn more @ codepath.org
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