Title: Understanding the Socio-Technical Pipeline of AI for Public Enterprises
Abstract: By 2016, many governments were embracing the promises of AI for Social Good; we at the Council for Scientific and Industrial Research in South Africa (CSIR-SA) were no different. In this talk, I will speak about our efforts towards deploying AI tools for public enterprises. I will discuss our wins, losses and lessons learned. Specifically, I wish to highlight both the technical and social tools necessary to function in this highly dynamic environment of changing budgets, deadlines, scope and outcomes. To ground this discussion, I will use the Rhino Poaching project, which I was part of from 2016 until 2018 as a case study.
Bio: Nyalleng is a research software engineer at Google working on topics related to ethics and fairness in machine learning. Before Google she was a senior researcher at the South African Council for Scientific and Industrial research, where she worked closely with government and academic institutions to develop products to understand phenomena such as Rhino poaching with the South African Park services and Election sentiment analysis with the South African Broadcasting Corporation and legacies of Spatial Aparthied with local faculty.
Outside of formal work she is involved in efforts to democratize AI; she is a founding member of the Deep Learning Indaba, the largest machine learning consortium of AI/ML practitioners in Africa, a member of A+ Alliance an international coalition that seeks to not only detect, but correct, gender bias in Artificial Intelligence.