Work

A research infrastructure for generating and sharing diversity-aware data

Year: 2023

Type: conference-paper

Abstract: The intensive flow of personal data associated with the trend of computerizing aspects of people's diversity in their daily lives is associated with issues concerning not only people protection and their trust in new technologies, but also bias in the analysis of data and problems in their management and reuse. Faced with a complex problem, the strategies adopted, including technologies and services, often focus on individual aspects, which are difficult to integrate into a broader framework, which can be of effective support for researchers and developers. Therefore, we argue for the development of an end-to-end research infrastructure (RI) that enables trustworthy diversity-aware data within a citizen science community.

Source: VBN Forskningsportal (Aalborg Universitet)

DOI: 10.48550/arxiv.2306.09759

Authors: Busso, Matteo, Acosta, Ronal Chenu Abente, de Götzen, Amalia

Institutions: University of Trento, Aalborg University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

Funder: European Commission