The increasing reach and pervasiveness of AI and algorithms into everyday life raises pressing social and ethical issues for individuals and communities. Recently, the existence of algorithmic biases related to race, gender or age and lack of inclusiveness in the technology sector have drawn escalating attention.
Now more than ever, these issues demand critical thinking, so that we could reflect and react, to repair and reduce existing algorithmic bias designs and implementations, and to explore and establish new approaches, principles, governance structures and regulations for designing fair, unbiased and inclusive algorithms.
In our workshop, you will critique a case study related to racial biases in algorithms. You will work together with leading academics and practitioners in the field of Responsible Innovation (RI) to understand the theoretical and practical aspects of their field.
In moderated group breakout sessions, you will apply RI principles to the case study, share perspectives on the issue, and reflect on the RI approach to reducing or avoiding these biases. We aim to raise awareness of the importance of the RI approach and related challenges, and create a deepened understanding of these issues by bringing together participants across different disciplines.
2:00pm - 2:30pm Introduction to Responsible Innovation
2:30pm - 3:20pm Break out sessions
3:20pm - 4:00pm Plenary feedback and discussion
The workshop is open to all current University of Oxford students - undergraduate, postgraduate, DPhils - from all backgrounds. If you are interested in emerging technology, its impact on society, or want to contribute to solving a global problem, please join!