The neglect of AI ethics extends from universities to industry
"At least we can rely on universities to teach the next generation of computer scientists to make. Right? Apparently not, according to a new survey of 2,360 data science students, academics, and professionals by software firm Anaconda.
Only 15% of instructors and professors said they’re teaching AI ethics, and just 18% of students indicated they’re learning about the subject.
Notably, the worryingly low figures aren’t due to a lack of interest. Nearly half of respondents said the social impacts of bias or privacy were the “biggest problem to tackle in the AI/ML arena today.” But those concerns clearly aren’t reflected in their curricula."
Zoe Ziff, The Cavalier Daily (University of Virginia); Data Science Institute prepares students for ethical decision-making
"The University's Data Science Institute recently incorporated the new Center for Data Ethics and Justice — founded by the University’s Bioethics Chair Jarrett Zigon — in an effort to ramp up its focus on ethics in analysis and interpretation of data. This partnership has created a new course for graduate data science students that specifically addresses ethical issues related to the handling of data and advancement in technology.
The DSI — located in Dell 1 and Dell 2 — is a research and academic institute that offers masters programs in data science as well as dual degrees in partnership with the Darden School of Business, the Medical School and the Nursing School.
Phillip Bourne — director of the DSI and professor of biomedical engineering — regards ethics as a pillar of their graduate program. He said few data scientists have formal training in ethics, and the partnership with the Center will equip students with the tools to make ethical decisions throughout their careers.
The Center brings a redefined course to the Master’s of Science in Data Science that is specifically designed for tackling ethical problems in the data science field."
