Stories and interviews from people on their coding journey.
S9:E7 - How do you create visual recognition software ethically and responsibly (Nashlie Sephus)
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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- DevDiscuss (sponsor)
- DevNews (sponsor)
- New Relic (sponsor)
- Retool (sponsor)
- Microsoft 30 Days to Learn It (sponsor)
- re:MARS
- Algorithmic bias
- Facial recognition
- Hex bolt
- Central processing unit (CPU)
- Caffe
- Graphics processing unit (GPU)
- Shazam
- Cocktail party effect
- Artificial intelligence (AI)
- Machine learning
- Partpic
- CodeNewbie Survey
- New York Times: As Cameras Track Detroit’s Residents, a Debate Ensues Over Racial Bias
- Part Finder
- Carriage bolt
- 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).