Work

We need accountability in human–AI agent relationships

Year: 2025

Type: article

Abstract: We argue that accountability mechanisms are needed in human-AI agent relationships to ensure alignment with user and societal interests. We propose a framework according to which AI agents’ engagement is conditional on appropriate user behaviour. The framework incorporates design-strategies such as distancing, disengaging, and discouraging.

Source: npj Artificial Intelligence

DOI: 10.1038/s44387-025-00041-7

Authors: Benjamin Lange, Geoff Keeling, Arianna Manzini, Amanda McCroskery

Institutions: Munich Center for Machine Learning, Ludwig-Maximilians-Universität München, Google (United Kingdom), Google DeepMind (United Kingdom)

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: $2,590

OpenAlex ID: W4415905000