Filling the Responsibility Gap: Agency and Responsibility in the Technological Age

The rise of automation, such as artificial intelligence, has significantly reduced human agency in artifact-involving actions, thereby giving rise to a moral dilemma known as the responsibility gap. In this dilemma, moral undesirable consequences arise from technology, yet no one is held accountable because individuals lack control over their actions and their outcomes, as well as the ability to predict these outcomes, rendering them morally blameless. This paper proposes a framework based on externalist agency and distributed responsibility, aiming to address this problem by assigning accountability to artifacts. Externalist agency holds that agency is a gradient concept rather than an all-or-nothing one. Between fully autonomous agency and non-agency, there are three intermediate gradients: distributed agency, constrained agency, and derivative agency. Distributed responsibility holds that responsibility should be allocated according to these gradients of agency. For both humans and artifacts: if an agent possesses derivative agency, forgiveness is warranted; if it possesses distributed agency, punishment is justifiable. This paper further suggests that punishment for artifacts can take the form of punishment for technological lineage—that is, modifying the design of technologies to guide their evolution toward safer and more ethical directions.

Authors

Institutions

Publication Details

Journal
Science and Engineering Ethics
Published
2025-11-05
DOI
https://doi.org/10.1007/s11948-025-00561-0
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Filling the Responsibility Gap: Agency and Responsibility in the Technological Age

Yong-Hong Xia
Science and Engineering Ethics
Ethics and Social Impacts of AI
article

Filling the Responsibility Gap: Agency and Responsibility in the Technological Age

Yong-Hong Xia
article en

Abstract

The rise of automation, such as artificial intelligence, has significantly reduced human agency in artifact-involving actions, thereby giving rise to a moral dilemma known as the responsibility gap. In this dilemma, moral undesirable consequences arise from technology, yet no one is held accountable because individuals lack control over their actions and their outcomes, as well as the ability to predict these outcomes, rendering them morally blameless. This paper proposes a framework based on externalist agency and distributed responsibility, aiming to address this problem by assigning accountability to artifacts. Externalist agency holds that agency is a gradient concept rather than an all-or-nothing one. Between fully autonomous agency and non-agency, there are three intermediate gradients: distributed agency, constrained agency, and derivative agency. Distributed responsibility holds that responsibility should be allocated according to these gradients of agency. For both humans and artifacts: if an agent possesses derivative agency, forgiveness is warranted; if it possesses distributed agency, punishment is justifiable. This paper further suggests that punishment for artifacts can take the form of punishment for technological lineage—that is, modifying the design of technologies to guide their evolution toward safer and more ethical directions.

Science and Engineering EthicsVol. 31(6)
Beijing Normal-Hong Kong Baptist University (CN), Beijing Normal University (CN)
Openalex Percentile: Top 68%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.