The Paris Journal on AI & Digital Ethics · Issue 2 (2026) · ISSN 3098-7849
The Paris Journal on AI & Digital Ethics2nd edition – 2026
The Paris Journal is the official scientific journal of the Paris Conference on AI & Digital Ethics. It is an open-source peer-reviewed academic venue that contains all the articles presented at the Paris Conference on AI & Digital Ethics. More than just conference’s proceedings, it is a new kind of scientific journals, which combines efficiency (publishing important work within 6 months following their submission), rigour (combining several steps of blind reviews and resulting in a drastic selection with a 10% acceptance rate (2026)), and ethics (compensating reviewers for their work).
Editorial Committee of the 2026 edition
Dr. Thomas Souverain, Editor-in-Chief, Scientific Chair of the Paris Conference (CEA Paris-Saclay)
Dr. Hubert Etienne, Chairman of the Paris Conference (Quintessence AI)
Prof. Jennifer Blumenthal-Barby, Thematic Chair (Baylor College of Medicine)
Prof. Matthias Scheutz, Thematic Chair (Tufts University)
Dr. Antonin Bergeaud, Thematic Chair (HEC Paris)
Dr. Sasha Luccioni, Thematic Chair (Sustainable AI Group)
Articles of this issue
Issue 2 (2026)
- AI and Digital Ethics in Healthcare: Emerging IssuesDOI 10.65701/iny56lt7bc
- To What End? “Neurodata” Boundaries and Their Implications for Policy and RegulationDOI 10.65701/44lv1zerdb
- Hybrid Intention and Augmented Agency: Allocation of Criminal Culpability in Neuroprosthetic ControlDOI 10.65701/tk3x4lamdy
- Epistemically-Aware AI: Toward a Bayesian Framework for Human-AI ComplementarityDOI 10.65701/z1sboejj37
- Regulating the Unseen: AI Accountability in UK Healthcare SectorDOI 10.65701/bwyy2jqr9w
- From Extraction to Exchange: A Data Streaming Framework for Equitable AI Content EconomicsDOI 10.65701/ofnfa9f1pb
- Generative AI as a Third Agent: Rethinking Academic Work and Principal-Agent Dynamics in Higher EducationDOI 10.65701/3mar80ih4s
- From Fear to Fluency: Cultivating AI Confidence and Socio-Economic Wellbeing in the WorkforceDOI 10.65701/jqcdpxr09o
- Reconfiguring Creative Labour: Generative AI, Work Practice, and the Ethics of Distributed AgencyDOI 10.65701/4cks0bzk1b
- The Fabricated Front: Generative AI and the Opacity of Workplace PerformanceDOI 10.65701/aveczgy7jn
- The Social Lure of Generative AIDOI 10.65701/f5dnoxa0qv
- Children’s Rights, Metacognition, and AI Literacy: A Conceptual FrameworkDOI 10.65701/mul716qtfm
- Measuring AI Accountability Through Argumentation Analysis: Can Model Reasoning Withstand Scrutiny?DOI 10.65701/kl7do0n9re
- Moral Competence Before Moral Content: Why LLM Agents Lack the Prerequisites for Coherent AlignmentDOI 10.65701/1zidk02aqx
- Are we going towards Human-AI Coevolution? A multi-leveled framework to study the impact of human-AI interaction on societal behaviorsDOI 10.65701/1pkk7ohfda
- Socioaffective Ecosystems Beyond Risk Management: Two Conceptual Mismatches in AI CompanionshipDOI 10.65701/vcpsk3t5dl
- AI, Democracy and Environmental Justice in AfricaDOI 10.65701/zasvrto7he
- A Climate Fix? Promotional Discourse on Artificial Intelligence and the Environment Before and After ChatGPTDOI 10.65701/67cukrb3xp
- Toward a Self Organizing Literature Review: An Application to the Financial Impacts of Physical Climate RisksDOI 10.65701/edrswwwgnw
- Environmental Impacts of Data Centers and Criminal Law Responses: A Comparative PerspectiveDOI 10.65701/szoyc8w68z