Work

Bias in public datasets

Year: 2024

Type: article

Abstract: Unfair bias in AI models can impact people's lives, especially for minorities or historically marginalized groups. This work examines bias in public datasets that can be used to train AI models and identifies unfair bias in datasets from areas such as education, healthcare, finance, or employment.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13347532

Author: Serban, Ioana

Institution: Graz University of Technology

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

OpenAlex ID: W6892925101

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