Ethics and Bias in AI with Amber McKenzie
Artificial Intelligence is happening - are we using it correctly? While at NDC in Oslo, Carl and Richard talked to Amber McKenzie about the challenges of building AI applications that are ethical and unbiased. Doc Am discusses how the AI term is over-used, and how often there are simpler technologies that can solve business problems. But where AI is applied, it comes with some ethical needs about how it is used, and an understanding that there is always bias in the data that trains AI . Tread carefully!
Guests:
Amber McKenzie
Dr. Amber McKenzie is head of Data Science and Analytics at HR tech start-up Fama. With a master's degree in linguistics and a Ph.D. in computer science, she has almost 15 years of experience in data science, AI, and natural language processing (NLP). She has led a variety of projects in a number of different sectors - including military applications, healthcare, marketing, law enforcement, accounting, and adtech - during her time at the University of South Carolina, Oak Ridge National Laboratory, DialogTech, PwC. Her professional interests include NLP, machine learning, predictive modeling, and computer learning. When she does get a spare moment outside of work, she enjoys reading, board games, indoor rock climbing, and lifting weights.
Links:
- Speech2Face https://speech2face.github.io/
- Partnership on AI https://www.partnershiponai.org/
- Fairness, Accountability, Transparency and Ethics in AI https://www.microsoft.com/en-us/research/group/fate/
- Adobe Project VoCo https://research.adobe.com/project/voco-text-based-insertion-and-replacement-in-audio-narration/
- RadioLab show on Digital Fakery https://www.wnycstudios.org/story/breaking-news
- Hitchhiking Robot gets Beheaded in Philly https://www.cnn.com/2015/08/03/us/hitchbot-robot-beheaded-philadelphia-feat/index.html