AIPEX Contributions
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19 results found.
AI data labelling: a pathway or peril to refugee self-reliance?
Executive summary Humanitarian budgets are collapsing at the same moment that AI systems are generating major demand for high-quality human-labelled data. Considering flexibility and low entry requirements of AI data...
Arbitrary cognitive offloading to GenAI: Does the current policy landscape account for the right to quality education of children and youth in the European Union?
Abstract General-purpose generative AI (GenAI) is increasingly used by young learners in the European Union, with 20% of individuals aged 15–29, approximately 15 million people, relying on it for educational...
Question Zero: Why Responsible AI Begins Before AI Adoption
Abstract The Question Zero (Q0) Self-Assessment Tool for Responsible AI, developed by the AI Policy Lab at Umeå University, supports organisations in posing foundational questions before adopting AI. Grounded in...
Is Simulated Evidence Still Evidence? A Warrant-Based Policy for Governing Synthetic Data
Executive Summary Generative AI can produce data that looks like a record of the world without being one: a scan with no patient behind it, a measurement of no event....
Fairness inside and out: A situated approach to algorithmic allocation in complex sociotechnical systems
Abstract This article outlines a framework for modeling and simulating complex sociotechnical systems in which an allocation mechanism acts as the interface (and sometimes a barrier) between the public and...
Rethinking the Digital Omnibus’ Impact on the EU AI Act: Simplification or Dilution?
Introduction The adoption of the European Union AI Act (hereafter AI Act) marks a milestone in the union’s ambition to shape trustworthy, human-centric artificial intelligence (AI). It reflects an effort to ground innovation in fundamental human rights – an approach that has positioned...
AI first to purpose first: Rethinking Europe’s AI strategy
Abstract This paper examines the European Commission 'AI First' strategy, arguing that it places acceleration and economic competitiveness above democratic values, societal benefit, and human-centric innovation. While substantial investment in...
Policy gap: AI and the determinants of public health
There is growing interest in how artificial intelligence (AI) can be applied in public health - from individual-level interventions such as diagnosis, treatment, and patient follow-up in healthcare, to broader...
The Ecological and Ethical Cost of Scaling AI
1. The Material Demands of AI Artificial intelligence has been presented to the world as a technology driving economic and social transformation, being efficient and minimal environmental impact. Yet the...
Tracing labour, power, and information in Artificial Intelligence Systems
Introduction It is common for technology to be used to obscure the role of humans, and artificial intelligence (AI)is a field where this is even more true than for many...