Understanding Unwanted Bias in Technology and AI
Today's world has a lot of unwanted bias that filters what we see and what we know about our world. Let's make it better. Watch video below for a beginner's guide to bias in AI.
Today's world has a lot of unwanted bias that filters what we see and what we know about our world. Let's make it better. Watch video below for a beginner's guide to bias in AI.
Misdiagnosis or delays in treatment have hurt many women and people of color
Ads have improperly been targeted to exclude people from certain offers based on a race and geography
Without transparency or laws to prevent abuse police departments do not undergo audits for fairness or human rights
HR platforms utilize AI to understand candidacy and to rank resumes. Often candidates do not have a way to challenge these computer based assessments
Historically descriminatory towards people of color, the bias has made its way through housing markets and into buisness development and venture capital.
Many workers have robotic teammates and work side by side with them. AI models are also used to train the workforce.
In the video below I disscuss what happens if we do not understand how poverty or marginilization plays a role in people's lives.
I have offered both a keynote talk and a workshop which featured:
My name is Camille Eddy. I'm a robotics and product Engineer. I have traveled internationaly to present my ideas on our need to understand bias in AI. My hope is to give engineers and managers alike an opportunity to examine our work and build better technology. I have begun this journey myself to understand how might I mitigate bias in the technology I am building today.
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