From 20 to 22 September NoBIAS Summer School was held virtually and DATAWO was there to attend it. The focus this year was given on AI and ethics, such as on the concept of fairness and justice.
Among the insightfull lectures, we highlighten “Foundations for Fair Algorithmic Decision Making” by Krishna Gummadi and “The Procedural Obstacles of Enforcing Anti-discrimination Law in the Context of AI-based Decision-making” by Stephanie Law.
We would like to congratulate the organisers and all the speakers for their insightfull presentations. We gained a lot of knowledge and inspiration!
You can find the schedule and more details about the speakers and their keynotes in the following link.
In brief, NoBIAS project is a project that aims to develop novel methods for AI-based decision making without bias by taking into account ethical and legal considerations in the design of technical solutions. The core objectives of NoBIAS are to understand legal, social and technical challenges of bias in AI-decision making, to counter them by developing fairness-aware algorithms, to automatically explain AI results, and to document the overall process for data provenance and transparency.
In these contexts, they will train a cohort of 15 ESRs (Early-Stage Researchers) to address problems with bias through multi-disciplinary training and research in computer science, data science, machine learning, law and social science. ESRs will acquire practical expertise in a variety of sectors from telecommunication, finance, marketing, media, software, and legal consultancy to broadly foster legal compliance and innovation.
If you are interested in staying informed about relevant issues and NoBias work, you can subscribe in this link. In their last Newsletter, the Newsletter of September, you can find their participation in our second online event ¨”Algorithmic Bias and Gender“.