Latency and liability: rethinking civil responsibility in low-latency human–AI systems under EU law

The European Union’s emerging AI regulatory framework combines extensive ex ante governance with comparatively fragmented civil liability mechanisms. While the AI Act establishes obligations concerning human oversight, logging and transparency, and the recast Product Liability Directive extends strict liability to software and digital products, the allocation of responsibility in real-time human–AI interaction environments remains legally uncertain. Using doctrinal legal analysis of EU legislation, case law, and speed-sensitive sectoral regulation, this article asks how temporal constraints on human intervention should inform existing civil liability categories. This article argues that system latency should be treated as a legally relevant variable in EU civil liability analysis. Latency conditions whether meaningful human intervention is realistically possible, influences how foreseeability should be assessed, and helps identify which actor is best positioned to prevent harm. Building on EU legislation, recent scholarship and the regulatory treatment of algorithmic trading under MiFID II, the article proposes a latency-sensitive control test structured around four factors: intervention window, override and fail-safe capacity, ex ante configuration and lifecycle control, and temporal traceability. The factors are neither cumulative nor equally weighted; they perform distinct factual, preventive and evidential functions. The test is not a freestanding cause of action or an EU-wide negligence rule, but an interpretive framework for mapping temporally relevant facts onto the applicable liability regime. The test offers courts and regulators a practical doctrinal tool for allocating responsibility in low-latency human–AI systems without departing from the existing architecture of EU liability law. The article thereby proposes an operational framework for assessing control and allocating responsibility in time-constrained human–AI interactions under existing EU law.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-09-25
DOI
https://doi.org/10.1057/s41599-026-09258-6
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Latency and liability: rethinking civil responsibility in low-latency human–AI systems under EU law

Edu William
Humanities and Social Sciences Communications
Ethics and Social Impacts of AI
article

Latency and liability: rethinking civil responsibility in low-latency human–AI systems under EU law

Edu William
article en

Abstract

The European Union’s emerging AI regulatory framework combines extensive ex ante governance with comparatively fragmented civil liability mechanisms. While the AI Act establishes obligations concerning human oversight, logging and transparency, and the recast Product Liability Directive extends strict liability to software and digital products, the allocation of responsibility in real-time human–AI interaction environments remains legally uncertain. Using doctrinal legal analysis of EU legislation, case law, and speed-sensitive sectoral regulation, this article asks how temporal constraints on human intervention should inform existing civil liability categories. This article argues that system latency should be treated as a legally relevant variable in EU civil liability analysis. Latency conditions whether meaningful human intervention is realistically possible, influences how foreseeability should be assessed, and helps identify which actor is best positioned to prevent harm. Building on EU legislation, recent scholarship and the regulatory treatment of algorithmic trading under MiFID II, the article proposes a latency-sensitive control test structured around four factors: intervention window, override and fail-safe capacity, ex ante configuration and lifecycle control, and temporal traceability. The factors are neither cumulative nor equally weighted; they perform distinct factual, preventive and evidential functions. The test is not a freestanding cause of action or an EU-wide negligence rule, but an interpretive framework for mapping temporally relevant facts onto the applicable liability regime. The test offers courts and regulators a practical doctrinal tool for allocating responsibility in low-latency human–AI systems without departing from the existing architecture of EU liability law. The article thereby proposes an operational framework for assessing control and allocating responsibility in time-constrained human–AI interactions under existing EU law.

Humanities and Social Sciences Communications
Universidad de Las Palmas de Gran Canaria (ES)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
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Latency and liability: rethinking civil responsibility in low-latency human–AI systems under EU law — Edu William · Humanities and Social Sciences Communications (2026) | TGRS Research Map | TGRS