Exploring AI Ethics Trust and Justice

From cognitive function to machine learning, bias is a shortcut for our brain or for data. The BIAS garden at Ars Electronica will interrogate how bias moves from human to machine and how persuasion, preference, motivation and misinformation contribute to our individual societal and digital biases. In a year when we have seen the importance of scientific research, the impact of misinformation, and the effect of social media in polarizing communities, understanding our biases and how they are and are not helpful has never been more critical. We will bring together artists, activists, designers, policymakers, hackers, researchers and technologists to explore the ways in which bias dominates our world today, from algorithmic justice and facial recognition to the empathy crisis and systemic oppression.

Video

By starting the content, you agree that data will be transmitted to www.youtube.com.Data Protection Declaration

Credits

Science Gallery Dublin, Science Gallery International, Science Gallery at Michigan State University, ADAPT Centre.
European ARTificial Intelligence Lab, ADAPT, Open Science Hub, STEAM Inc.

This Garden is part of the European ARTificial Intelligence Lab (AI Lab) and co-funded by the Creative Europe Program of the European Union. This program is presented in the framework of STEAM INC and is co-funded by the Erasmus+ Programme of the European Union. The OSHub project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under grant agreement No. 824581.