Not-equal: democratizing research in digital innovation for social justice

Clara Crivellaro1, Lizzie Coles-Kemp2, Alan Dix3, and Ann Light4

1 OpenLab, Newcastle University of Southampton, UK
2 Department of Information Security, Royal Holloway, University of London, UK
3 Computational Foundry, Swansea University, Wales
4 School of Engineering and Informatics, University of Sussex, UK

Paper in ACM Interactions

pre-print paper (PDF,93K)| ACM DOI: 10.1145/3301655


Digital technology has given rise to extensive socioeconomic transformation and emerging technologies are set to further transform the service economy and public services. Careful design and deployment are needed for this transformation to benefit the many rather than the few. If harnessed to the wrong economic, political, and social models, technological innovation has the potential to be detrimental to the most vulnerable; its careless application can amplify existing forms of injustice and create new forms of exclusion in socioeconomic life, further exacerbating socioeconomic inequality and social division.

Keywords: digital economy, social justice, algorithmic social justice, digital security for all, fairer future for businesses and workforces, gig-economy, AI, machine learning, algorithmic bias

 


 

 

 

 

 


https://alandix.com/academic/papers/Interactions-Not-Equal-2019/

Alan Dix 2/12/2020