Connectionists: PhD/Postdoc in fair and beneficial AI at the university of Oslo

[Christos Dimitrakakis]

We are looking for students and researchers interested in the
intersection of statistics, machine learning, decision theory and
economics with fairness, privacy and beneficial artificial intelligence
more generally at the university of Oslo. Available positions:

3-year PhD position:
https://www.jobbnorge.no/en/available-jobs/job/189316/phd-research-fellow-in-fairness-and-beneficial-artificial-intelligence

3-year Postdoc position:
https://www.jobbnorge.no/en/available-jobs/job/189317/postdoctoral-research-fellow-in-fairness-and-beneficial-artificial-intelligence

Successful applicants will also have the opportunity to work with our
sister group at Chalmers University, as well as international partners
such as Harvard University and EPFL.

To get a flavour of what the group's research on this topic is about,
here are some relevant papers from our group:

Egalitarian learning in repeated games https://arxiv.org/abs/1906.01609
Calibrated fairness in bandits https://arxiv.org/abs/1707.01875
Bayesian fairness https://arxiv.org/abs/1706.00119
Achieving Privacy in the Adversarial Multi-Armed Bandit
https://arxiv.org/abs/1701.04222
Bayesian Differential Privacy through Posterior Sampling
https://arxiv.org/abs/1306.1066


For further background, you can take a look at this book and talk about
ethical algorithms:
https://www.amazon.com/Ethical-Algorithm-Science-Socially-Design/dp/0190948205
and https://www.youtube.com/watch?v=0A5RAqs8DJY

Christos Dimitrakakis

https://sites.google.com/site/christosdimitrakakis