ADM+S Wikimedian-in-Residence Program
The ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) is a new, cross-disciplinary, national research centre, which aims to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making.
One of the aims of the ADM+S is to promote greater understanding of automated decision-making technologies, applications and impacts and working with Wikipedia, Wikidata and other Wikimedia platforms is one of the best ways to do this. To support this process ADM+S has established a Wikimedian-in-Residence project for 6 months to help with engagement between Wikimedia platforms and the researchers, students, partners, projects and issues associated with the Centre with Amanda Lawrence starting in the role from July 2021.
Amanda has created a new Wikipedia page on automated decision-making however this is just a basic stub and needs lots more work. We also need to improve pages for related content, people and organisations that are already on Wikipedia and to create new pages as required. There is already lots of terrific content on Wikipedia about automation technologies, AI etc but some pages don't have much up to date information or could be improved in lots of ways. Citations to quality research sources are also a key issue for Wikipedia content and it is always great to increase pages on women in technology. A great example of a page in this topic area that was developed to 'Good article' status as part of a team effort is Algorithmic_bias.
To get the ball rolling we are running an edit-a-thon in October to bring together ADMS members and other interested people to work on Wikipedia (and Wikidata) content related to automated decision-making systems and their social, legal and ethical implications.
The project will focus on developing content on Wikipedia and other platforms on automated decision-making and related technologies and their social, economic, legal and ethical impacts as well as engaging with Wikidata content and analysis.
For more information ADM+S WiR Project page