This year the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) ran a workshop at the WebSci20 Conference that took place online due to COVID-19 Restrictions.
A full report on this event was written by Michelle Pauli and can be downloaded from here: https://eprints.soton.ac.uk/442678/
We are living through an AI and data revolution. Artificial and augmented intelligence systems are already being used in the scientific discovery domain and have the potential to make a groundbreaking impact. However, using AI in this way comes with a wealth of ethical and societal considerations, from algorithmic bias to explainability and privacy concerns. Ethical frameworks covering many of these issues abound but are they enough? Tensions, trade-offs and transparency in AI were the themes running through the AI3SD Network+’s all-day workshop, part of the ACM Web Science 2020 conference. In a vibrant example of the interdisciplinary approach that is essential to addressing these big challenges, philosophers, computer and material scientists, sociologists, ethicists and many more gathered to explore the topic. Four presentations set out some of the key issues. Participants then tackled the ethical dimensions of a very current real-life application, using data from a Covid-19 contact tracing app for scientific research, in an interactive session using Moral IT cards. Due to the Covid-19 situation, the entire workshop was conducted via Zoom.
The presentations given are listed below:
- Ethical Frameworks. Ethical Judgements – Dr Will McNeill (University of Southampton)
- AI Ethics from the Ground Up: Cultivating Capabilities for Care – Dr Cian O’Donnovan (UCL)
- Data Ethics for AI – Ms Jacqui Ayling (University of Southampton)
- The Moral IT & Research Ethics Cards – Dr Peter Craigon (University of Nottingham)
- Ethics for AI for Scientific Discovery – Dr Samantha Kanza (University of Southampton)