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Trustworthy AI: responses to commentators.

Christoph Kelp1, Mona Simion1

  • 1COGITO Epistemology Research Centre, University of Glasgow, 67-69 Oakfield Ave, Glasgow, G12 8LP UK.

Asian Journal of Philosophy
|December 25, 2024
PubMed
Summary
This summary is machine-generated.

This paper presents a new framework for understanding trustworthy artificial intelligence (AI) and addresses recent scholarly critiques. It clarifies the conditions necessary for AI systems to be considered reliable and ethical.

Keywords:
Artificial intelligenceObligationsResponsibilityTrustTrustworthiness

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Area of Science:

  • Philosophy of Technology
  • Artificial Intelligence Ethics
  • Epistemology

Background:

  • The increasing integration of artificial intelligence (AI) into society necessitates a clear understanding of AI trustworthiness.
  • Existing accounts of AI trustworthiness require further philosophical examination and refinement.

Purpose of the Study:

  • To present a novel philosophical account of what constitutes trustworthy artificial intelligence (AI).
  • To respond to critical commentary on the proposed AI trustworthiness framework.
  • To foster a deeper understanding of the ethical and epistemic dimensions of AI.

Main Methods:

  • Philosophical argumentation and conceptual analysis.
  • Critical engagement with peer commentary on a proposed theory.
  • Exposition and defense of a novel account of AI trustworthiness.

Main Results:

  • A refined and defended account of trustworthy artificial intelligence (AI).
  • Detailed responses to specific philosophical objections raised by scholars.
  • Clarification of the criteria for evaluating AI trustworthiness.

Conclusions:

  • The developed account provides a robust framework for assessing AI trustworthiness.
  • Continued philosophical dialogue is crucial for advancing AI ethics and reliability.
  • The paper contributes to the ongoing scholarly debate on responsible AI development.