Judith Simon, professor in Ethics in Information Technologies at the Universität Hamburg, will present "Trustworthy AI: Can we trust AI—and should we?"
Judith Simon is a full professor for ethics in information technologies at the Universität Hamburg as well as a member of the German Ethics Council and has also been a member of the Data Ethics Commission of the German Federal Government (2018-2019). She is interested in ethical, epistemological and political questions arising in the context of digital technologies, in particular in regards to big data and artificial intelligence.
- Simon, J. and Rieder, G. (2021). Trusting the Corona-Warn-App? Contemplations on trust and trustworthiness at the intersection of technology, politics, and public debate. European Journal of Communication, 36(4), 334–348.
- Rieder, G., Simon, J., and Wong, P.-H. (2020) Mapping the Stony Road toward Trustworthy AI: Expectations, Problems, Conundrums. In: Marcello Pelillo and Teresa Scantamburlo (Eds.). Machines We Trust: Perspectives on Dependable AI. Cambridge, MA: MIT Press.
- Rieder, G. & Simon, J. (2016), Datatrust: Or, The Political Quest for Numerical Evidence and the Epistemologies of Big Data. Big Data & Society, 3, 2016.
In the Responsible Data Science and AI Speaker Series, we discuss topics such as equity, fairness, biases, ethics, and privacy. The presentations and discussions take place on Fridays from 9:00-10:00 a.m. Central Time on Zoom. The event is open to the public, and everyone is welcome to attend! To join a session, go to the current week's session, click the "access" link, and then the "PARTICIPATE online" button. Recordings of past talks can be found next to "access" if available. This series is hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS). If you have any questions, please contact Jana Diesner.
This event is sponsored by Center for Informatics Research in Science and Scholarship