Session

DescriptionAs more academic disciplines and industry users are leveraging computational methods and scientific computing, the time it takes for HPC-enabled insights to impact society is decreasing rapidly. However, advances in high performance computing (HPC) and artificial intelligence (AI), as well as the increasing complexity of these fields, raise concerns about ensuring trust (with)in science. As a community, we recognise the temptation to exploit ever-growing data volumes and observe new computational methods in action, even when the associated biases and side effects are not fully understood. Co-design for HPC can and should, in addition to technical desiderata, also include broader ethical aspects of scientific computing. For instance, global computing and networking infrastructure have a significant environmental impact, both locally and globally. However, many studies usually only consider the operational life of a data centre, not the manufacturing process or end-of-life environmental impact. We wish to discuss how to incorporate ethics into all phases of scientific computing thus making potential trade-offs explicit and highlighting the decisions leading to them. We will feature 3 speakers and end an in open discussion to explore questions of trust in science and the intersection with ethical and societal concerns.