S9:E7 - How do you create visual recognition software ethically and responsibly (Nashlie Sephus)
We talk to Nashlie Sephus, CTO of Partpic, and Applied Science Manager at Amazon Web Services, about how she developed Partpic, as well as some of the dangers of machine learning and what we can do to mitigate some of these issues.
At the time of this recording, the New York Times released a report titled "As Cameras Track Detroit’s Residents a Debate Ensues Over Racial Bias," which discussed some of the issues in machine learning such as algorithmic bias, and facial recognition software giving more false matches for black people than white people. We chat with Nashlie Sephus, CTO of Partpic, which was acquired by Amazon in 2016, and now an Applied Science Manager at Amazon Web Services, about her journey into machine learning, developing Partpic, and tackling some of the ethical issues in machine learning in her new role at Amazon.
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- re:MARS
- Algorithmic bias
- Facial recognition
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- Central processing unit (CPU)
- Caffe
- Graphics processing unit (GPU)
- Shazam
- Cocktail party effect
- Artificial intelligence (AI)
- Machine learning
- Partpic
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- New York Times: As Cameras Track Detroit’s Residents, a Debate Ensues Over Racial Bias
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- NVIDIA
- Apache MXNet
- TensorFlow
- Computer Vision
- Music information retrieval
- Digital signal processing
Nashlie Sephus
Dr. Nashlie Sephus is currently an Applied Science Manager at Amazon AI in Atlanta where she was formerly the CTO of startup Partpic (acquired by Amazon in 2016). She focusses on computer vision, machine learning, fairness and biases in AI, and is founder of Mississippi-based non-profit The Bean Path (https://thebeanpath.org), having received her B.S. in computer engineering at Mississippi State University (2007) and Master's/Ph.D. at Georgia Tech (2014).