February 19th and 20th, 2019, I enjoyed attending the interesting event, “AI and Gender “ workshop organized by CFI at the University of Cambridge.
Stanford has launched the Human Centered AI Initiative (HAI). HAI encourages faculty members to create interdisciplinary projects by offering $75,000 for each research project. It also promotes and offers education in areas such as politics, ethics and the philosophy of AI.
For example, Professor Londa Schiebinger of History of Science recommends the formation of interdisciplinary teams for Human-Centered AI Reviews in order to solve current problems with gender-biased data sets. She claimed that current notions of diversity in companies such as Apple are not sufficient. We need to teach engineers AI research with regard to social sciences.
Mateja Jamnik, a Reader in Artificial Intelligence at the department of computer science and technology at the University of Cambridge notes that algorithmic bias doesn’t come from machines but from people. Therefore Cambridge computer science undergrads are now required to take ethics class in their 1st year.
Thus I believe we must fill the gap between natural and social sciences in AI research and create AI and robots for social good using a cross-disciplinary approach.