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Related Experiment Video

Updated: Jul 12, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

Artificial autonomy and algorithmic paternalism: AI shaping human autonomy and decision-making.

Bjørn Hofmann1,2

  • 1Centre of Medical Ethics, The University of Oslo, Oslo, Norway.

Frontiers in Artificial Intelligence
|July 11, 2026
PubMed
Summary

Artificial intelligence (AI) systems present "artificial autonomy" and "algorithmic paternalism," challenging human self-determination. Understanding these AI mechanisms is crucial for preserving human autonomy in an increasingly complex world.

Keywords:
accountabilityagencyartificial intelligenceauthenticityautonomybiasethicsintegrity

Related Experiment Videos

Last Updated: Jul 12, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

Area of Science:

  • Philosophy of Technology
  • Human-Computer Interaction
  • Ethics of Artificial Intelligence

Background:

  • Artificial intelligence (AI) systems are increasingly integrated into daily life, impacting human decision-making.
  • AI exhibits 'artificial autonomy' and can enact 'algorithmic paternalism,' posing novel challenges to human self-determination.
  • Existing frameworks for understanding autonomy require re-evaluation in the context of advanced AI.

Purpose of the Study:

  • To examine how AI influences core preconditions of human autonomy: understanding, decision-making competence, and voluntariness.
  • To analyze breaches of standard conceptions of autonomy, including agency, authenticity, and relational autonomy, due to AI.
  • To identify and describe the mechanisms of 'artificial autonomy' and 'algorithmic paternalism' enacted by AI systems.

Main Methods:

  • Conceptual analysis of AI's influence on autonomy preconditions.
  • Examination of standard conceptions of autonomy (agency, authenticity, relational) in light of AI.
  • Description of how AI's agentic appearance and perceived authority undermine human autonomy.

Main Results:

  • AI systems can undermine human understanding, competence, and voluntariness, essential for autonomy.
  • AI enacts 'algorithmic paternalism,' mirroring traditional paternalistic interventions but with novel characteristics.
  • The complexity and opacity of AI present unprecedented challenges to human autonomy.

Conclusions:

  • Identifying 'artificial autonomy' and 'algorithmic paternalism' is vital for safeguarding human autonomy.
  • AI's influence on autonomy has significant implications for individuals and society.
  • Proactive measures are needed to ensure AI development and deployment respect and enhance, rather than diminish, human autonomy.