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Doing AI Differently: Executive Summary

Year: 2025

Type: article

Abstract: Artificial Intelligence is rapidly becoming global infrastructure – shaping decisions in healthcare, education, industry, and everyday life. Yet current AI systems face afundamental limitation: they are shaped by narrow operational metrics that fail to reflect the diversity, ambiguity, and richness of human experience.This white paper presents a research vision that positions interpretive depth as essential to building AI systems capable of engaging meaningfully with culturalcomplexity – while recognising that no technical solution alone can resolve the challenges these systems face in diverse human contexts.We identify a foundational gap: AI systems increasingly produce and act upon cultural outputs – language, images, narratives – yet lack frameworks for interpreting the cultural content they generate and encounter.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16421631

Authors: Hemment, Drew, Nathan, Christopher

Institutions: The Alan Turing Institute, University of Edinburgh

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6949918663

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