Louis Longin

Louis Longin

Assistant Professor. Philosophy of Data and Mental Privacy.

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Pages

Posts

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Blog Post number 4

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Blog Post number 1

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publications

Towards a Middle-Ground Theory of Agency for Artificial Intelligence

Longin, L. (2020). Towards a Middle-Ground Theory of Agency for Artificial Intelligence. In Culturally Sustainable Social Robotics (pp. 17-26). IOS Press.

The paper proposes a middle-ground theory of agency for artificial intelligence that balances between attributing too much or too little agency to AI systems

Augmenting perception: How artificial intelligence transforms sensory substitution

Longin, L., & Deroy, O. (2022). Augmenting perception: How artificial intelligence transforms sensory substitution. Consciousness and Cognition, 99, 103280.

The paper discusses how artificial intelligence transforms sensory substitution and augmentation devices by introducing non-linear signal processing, which allows for more efficient and effective sensory information transfer, potentially reducing cognitive overload and improving usability for users.

Intelligence brings responsibility: Even smart AI-assistants are held responsible

Longin, L., Bahrami, B., & Deroy, O. (2023). Intelligence brings responsibility-Even smart AI assistants are held responsible. iScience, 26(8).

Even basic AI assistants are perceived as sharing responsibility with their human users for outcomes, despite being viewed as tools, while non-AI tools are not held responsible.

The Social Role of AI Advisers

Longin, Louis (2023): The social role of AI advisers. Dissertation, LMU München: Faculty of Philosophy, Philosophy of Science and the Study of Religion

This book examines the ontological status of AI advisers, arguing that they occupy a unique conceptual space between tools and human agents in terms of their agentive capacities, responsibility attribution, and ability to influence human perception and decision-making.

Co-perceiving: Bringing the social into perception

Deroy, O., Longin, L., & Bahrami, B. (2024). Co‐perceiving: Bringing the social into perception. Wiley Interdisciplinary Reviews: Cognitive Science, e1681.

The paper introduces the concept of co-perception as the ability to distinguish between objects perceived privately and those perceived commonly with others.

Joint perception needs representations

Deroy, O., & Longin, L. (2024). Joint perception needs representations. In The Roles of Representation in Visual Perception (pp. 25-45). Cham: Springer International Publishing.

The book chapter introduces joint perception as the phenomenon where perceivers become mutually aware of seeing the same objects together, and argues that representational theories are necessary to explain the empirical evidence showing that perception itself changes when viewing objects alone versus with others.

Data sharing in learning analytics: How context and group discussion influence the individual willingness to share

Longin, L., Briceno, D. M., & Poquet, O. (2025). Data sharing in learning analytics: how context and group discussion influence the individual willingness to share. Humanities and Social Sciences Communications, 12(1), 1-13.

Learners become more cautious about sharing their learning data after participating in a group discussion, with the willingness to share being lowest when data is submitted to a government entity and for a collective benefit.

Critical Argumentation about Data from Educational Technology Influences Subsequent Data-Sharing Decisions

Montenegro, D., Longin, L., & Poquet, O. Critical Argumentation about Data from Educational Technology Influences Subsequent Data-Sharing Decisions.

The paper introduces the concept of co-perception as the ability to distinguish between objects perceived privately and those perceived commonly with others.

Thinking together, more than thinking twice, makes better data privacy judgements

Longin, L., Bahrami, B., & Deroy, O. (2025, August 14). Thinking together, more than thinking twice, makes better data privacy judgements.

The paper introduces the concept of privacy indifference as people’s tendency to accept data-sharing practices without sensitivity to contextual factors, and demonstrates that group deliberation is more effective than individual reflection in improving contextual awareness of privacy decisions.

research

talks

teaching

Social neuroscience

Graduate Seminar. Co-taught with Deroy and Bahrami, LMU Munich, Neuroscience, Neuro-COgnitive Psychology, 2020

Neurophilosophy

Three guest lectures, LMU Munich, Graduate Center for Neuroscience, 2023