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Governing emerging technologies in the field of public sector interpreting

Abstract

This paper examines how emerging AI-driven language technologies, particularly machine interpreting (MI), challenge the governance of public sector interpreting (PSI). Using Norway as a case study, the authors analyse the interaction between the Norwegian Interpreting Act and rapidly advancing speech translation technologies. They argue that the distinction between interpreter augmentation and automation is functional rather than technological, requiring risk-based governance focused on overuse, misuse, and underuse. Drawing on horizon-scanning research, market analysis, and stakeholder perspectives, the paper identifies growing pressures toward unregulated substitution of human interpreters. It concludes that MI cannot be prevented but should be governed through evidence-based, technology-neutral regulation, quality standards, risk assessment, and interpreter training

Category

Conference lecture

Language

Other

Author(s)

Affiliation

  • SINTEF Digital / Technology Management
  • Johannes Gutenberg University of Mainz
  • OsloMet - Oslo Metropolitan University

Presented at

Translation & Interpreting, AI and the Language Industry: Research and Professional Practice

Place

Milano

Date

19.05.2026 - 20.05.2026

Organizer

Universiteta IULM

Date

19.05.2026

Year

2026

View this publication at Norwegian Research Information Repository