Beyond the Empathy Illusion: Algorithmic Vulnerability as a Strategy to Mitigate Inherent Biases in Conversational AI
Author's Note: This document is a conceptual and academic exercise designed to illustrate the structure of a scientific paper and to propose the framework of "algorithmic vulnerability." The empirical study described in Section 4, including its participants, methodology, and results, is a fictional simulation created for demonstrative purposes and does not represent real research data. The purpose of this work is to foster discussion on the ethical design of AI.
Institutions
- University of Freiburg (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-12
- DOI
- https://doi.org/10.5281/zenodo.15644638
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00