One of the myths that informs the popular imaginaries and discourses of AI and robotics is that these technologies will work as planned. This deterministic expectation is, of course, an illusion. From unintended consequences to functional errors and malfunctions, the trajectory of what counts as ‘working’ is often different in practice than it is in planning.
Given this, how can we consider the value of error? This workshop will focus on the different meanings that errors, malfunctions, and other unexpected consequences take on in the field of AI and Robotics across a range of applications, including (but not limited to) health care, security and surveillance, consumerism, identity, justice, insurance, and labour.
This call for papers is open to researchers from all disciplines and levels (PhD Student, post-doc, faculty) to propose an interdisciplinary reconstruction of the reading of the concept of error in the age of AI and robotics, starting from the question «Should we delete the error?».
Contribution proposals are expected to respond to the following five questions, but submissions on all dimensions of error will be considered.
– Do errors shed light on societal prejudices?
– How and why do mathematics sometimes erroneously shape our understanding of reality? What’s the power on and (in)adequacy of mathematics to reality?
– Can humans intentionally mislead machines?
– Are errors always functional, or do errors also occur when technologies disrupt socio-economic contexts? What can we learn from this ?
– Can machine errors open up trajectories on the improvement and enhancement of humanity that differs from the transhumanist project?