AIPEX Contributions
Read, comment and share the latest contributions to AIPEX — the AI Policy Exchange Forum!
21 results found.
Operationalising AI Ethical Principles in Higher Education with the UNESCO Recommendation on the Ethics of Artificial Intelligence by Policy Makers and Global Universities
Executive summary The rapid use of artificial intelligence (AI) tools in higher education creates new governance challenges. Universities worldwide face growing concerns about safety, privacy, unfair algorithms and threats to...
Didactics before tools: Redesigning teaching and assessment in the age of generative AI
Abstract Research and policy have become good at naming the cognitive risks that generative AI (GenAI) poses to learning. Namely, detrimental cognitive offloading, metacognitive laziness, and the illusion of competence. What this...
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...