The Role of Data in AI

Thordis Sveinsdottir, Pinelopi Troullinou, Stergios Aidlinis, Alexandra Delipalta, Rachel Finn, Panagiotis Loukinas, Julia Muraszkiewicz, Ryan O'Connor, Katrina Petersen, Michael Rovatsos, Nicole Santiago, Diana Sisu, Mistale Taylor, Peter Wieltschnig

Research output: Book/ReportCommissioned report

Abstract / Description of output

This is the report from the project The Role of Data in AI, which was commissioned by the Data Governance Working Group of the Global Partnership of AI (GPAI). The consortium was led by the Digital Curation Centre, with partners Trilateral Research and The School of Informatics, the University of Edinburgh. The report digs more deeply into the issues raised within the Data Governance Framework (see below), and identifies areas where GPAI could make an impact in deepening international collaboration.

It covers the following areas:
- Al development and the role of data at each step;
- Data types used in AI development;
- Data characteristics that influence the process or outcome of Al development;
- Socio-ethical, economic and environmental impacts of data in Al;
- Law and transparency as modifiers to impacts of data in Al;
- Availability of accessibility to data for Al development; data quality and challenges in three fields (pandemic response, human language technologies for under-resourced languages, and AI applications in the criminal justice system);
and recommendations on where GPAI could enhance international collaboration on data governance.
Original languageEnglish
Number of pages73
Publication statusPublished - 7 Dec 2020


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