Sep 2026· AI and Ethics· Vol 6· 0 citations· 33 references
TL;DR
This critical integrative review synthesizes research on automation bias, algorithm appreciation and aversion, large-language-model sycophancy, persuasive dialogue, anthropomorphic interaction, explainable AI, and human autonomy to reposition productive disagreement as a positive safety and autonomy property of human–AI systems.
It is argued that once moral trustworthiness is set aside, the central normative question shifts from whether AI systems can be trusted to how their epistemic influence on human decision-making ought to be justified and governed.
John Dorsch, Maximilian Moll, Ophélia Deroy· Philosophy & Technology· 0 citations
Large language models and AI-mediated search systems have become the primary intermediaries for institutional
information across educational, legal, civic, and professional life. Current models of AI ethics focus primarily on the
accuracy, bias, and fairness of AI systems. This focus is essential but fails to recognize...
Jonathan D. Nelson· International Journal of Inn...· 0 citations
As conversational AI systems increasingly operate in sensitive domains, the central challenge shifts from usability to trust calibration, ensuring that users rely on systems neither too much nor too little. Systems that provide advice or interpretations risk encouraging inappropriate reliance, particularly when users p...
R. Hassan, Nahla Aboromi, Naomi Unkelos-Shpigel· 0 citations
The article argues that many contemporary AI alignment practices risk a mistaken assimilation of moral agency to statistical learning. Techniques such as reinforcement learning from human feedback and constitutional AI often treat morality as a behavioral function that can be approximated from human discourse, behavior...
It is argued that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character, arguing that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character.
Does artificial intelligence (AI) threaten deliberative democracy? This paper argues that it does, not because it isolates citizens in simplistic “filter bubbles” understood as ideologically homogeneous silos, but because it hijacks the capacities through which beliefs are evaluated. While early accounts emphasized alg...
John Dorsch, Mark Coeckelbergh, Tillmann Vierkant· Synthese· 0 citations
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