Tim Menzies
Timm's page has moved
Jaye Nias
The International Workshop on Equitable Data & Technology brings together academic researchers, industry researchers, and practitioners interested in exploring ways to build fairer, more equitable , data-driven software. Co-located with ICSE’23, the FairWare’23 meeting will include keynotes on software fairness form different perspectives. FairWare’23 will also host panel sessions to invite researchers and the audience to engage in discussion. Since many issues associated with fairness are often sociologica
Special Issue CFP --> FairWare Resources The FairWare conference is over, and what an experience it was! We gathered many resources, open questions and ideas for future FairWare editions from our great discussions. These are available in the link below. You are welcome to leave new ideas or resources as well! Link to resources Keynote: Fairness through Unfairness Producing fair outcomes in a structural sense may actually require deliberately weighting software in favour of marginalised populations. The qu
Speaker: Os Keyes https://ironholds.org/ Os Keyes is a PhD Candidate at the University of Washington’s Department of Human Centred Design & Engineering. Details TBD! Keynote: Seldonian Toolkit Software systems that use machine learning are routinely deployed in a wide range of settings, including medical applications, the criminal justice system, hiring, facial recognition, social media, and advertising. These systems can produce unsafe and unfair behavior, such as suggesting harmful medical treatments, mak
Tim Menzies
Timm's page has moved
Jaye Nias