Introduction to Data Ethics - Brent Mittelstadt

Dr. Brent Mittelstadt is a Research Fellow at the Alan Turing Institute and University College London. His research addresses the ethics of algorithms, machine learning, artificial intelligence and data analytics (‘Big Data’). Over the past five years his focus has broadly been on the ethics and governance of emerging information technologies, including a special interest in medical applications.
Research
Dr. Mittelstadt;'s research focuses on ethical auditing of algorithms, including the development of standards and methods to ensure fairness, accountability, transparency, interpretability and group privacy in complex algorithmic systems. His work addresses norms and methods for prevention and systematic identification of discriminatory and ethically problematic outcomes in decisions made by algorithmic and artificially intelligent systems. A recent paper on the legally dubious right to explanation and the lack of meaningful and accountability and transparency mechanisms for automated decision-making in the General Data Protection Regulation, co-authored with Dr. Sandra Wachter and Prof. Luciano Floridi, highlights the pressing need for work in these areas.
#datascienceclasses

[@munchybiker]

We should all be interested.

[@logiciananimal]

The opacity (or rather, their proposition-less nature) of ANNs has long been regarded as a *good* thing by some philosophers of mind (e.g., Paul Churchland). Now we're using them for technological rather than scientific purposes. Uh oh. :)

[@sentiiiment]

cool