Work

AI for science needs data – and here come ethical problems

Year: 2026

Type: article

Abstract: The contemporary discourse on artificial intelligence (AI) in scientific research is oftentimes driven by the assumption that larger datasets yield better models, and that such models inherently improve scientific understanding or technological capacity. In practice, however, the pursuit of data – especially sensitive human data in the field of healthcare – reveals fundamental ethical and governance tensions. Below we outline three core problems that require rigorous analysis: data scarcity, legitimacy, and the semantic inflation of “AI” as a label that obscures distinct technologies and ethical concerns.

Source: Open Research Europe

DOI: 10.12688/openreseurope.23390.1

Authors: Kristina Khutsishvili, Ronald Wilders

Institutions: University of Cambridge, Amsterdam Cardiovascular Sciences

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $841

Funder: HORIZON EUROPE Framework Programme