Evidence record 17702 · automatically gathered

Layered agency as a basis for allocating accountability for AI

The increasing use of artificial intelligence-driven systems (AI) in organizations challenges the traditional concept of agency in organization theory as well as the traditional allocations of accountability. Recognizing that these issues are closely related, and drawing from several different conceptualizations of agency across disciplines, this paper develops a layered framework of agency in the context of AI. The framework distinguishes three analytically separable but interacting layers. The

Record details

Published: 8 August 2026
Source: AI & Society
Category: Research
Topics: Transparency
Retrieved: 9 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

How to cite this record

ethics.ai (8 August 2026), “Layered agency as a basis for allocating accountability for AI,” evidence record 17702, https://ethics.ai/record/17702 (originally published by AI & Society).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.