July 21, 2025Open Access

Responsibility Attribution in Autonomous AI Agents Deployed on Cloud Infrastructure

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Authors

EIEmmanuel IdowuLadoke Akintola University of Technology

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Implication

This study explores responsibility attribution in autonomous AI systems on cloud infrastructure, highlighting critical gaps and proposing a stakeholder model.

Key Points

Responsibility attribution in autonomous artificial intelligence is becoming increasingly complex in cloud environments.
The study investigates existing ethical and legal frameworks, identifying significant gaps in accountability.
By examining real-world case studies, the research develops a comprehensive responsibility mapping framework.
A proposed multi-stakeholder attribution model aims to enhance transparency and trust within cloud-AI systems.

Cite This Study

Emmanuel Idowu (2025) studied this question.

synapsesocial.com/papers/689a02c9e6551bb0af8cd066 https://doi.org/10.20944/preprints202507.1337.v1

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Implication

This study explores responsibility attribution in autonomous AI systems on cloud infrastructure, highlighting critical gaps and proposing a stakeholder model.

Responsibility Attribution in Autonomous AI Agents Deployed on Cloud Infrastructure

Discussion

Member takes

Implication

Key Points

Cite This Study

Responsibility Attribution in Autonomous AI Agents Deployed on Cloud Infrastructure

Discussion

Member takes

Implication

Key Points

Cite This Study

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