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Area of Science:

  • Ethics in Artificial Intelligence
  • Technology Foresight
  • Research Mentorship

Background:

  • AI-based research mentors (AIRMs) are emerging tools in scientific research.
  • Ethical implications of AIRMs require thorough examination.
  • Anticipatory Technology Ethics provides a framework for foresight and issue evaluation.

Purpose of the Study:

  • To examine AI-based research mentors (AIRMs) using technology foresight.
  • To identify and evaluate ethical issues associated with different AIRM scenarios.
  • To inform policy development for responsible AIRM implementation.

Main Methods:

  • Scenario planning was used to develop four plausible future scenarios for AIRM use.
  • Resnik's twelve principles of research ethics were applied to identify ethical issues.
  • Ethical issues were weighed against potential benefits in each scenario.

Main Results:

  • Openness, education, legality, and mutual respect were violated in all AIRM scenarios.
  • Freedom was compromised in scenarios involving AIRM monitoring.
  • The "AIRMing" phenomenon demonstrated potential manipulation for poor practice in the guidance scenario.

Conclusions:

  • The guidance-only AIRM scenario presents the fewest ethical problems.
  • Even the guidance-only scenario raises concerns regarding honesty, openness, credit, education, legality, and mutual respect.
  • Policy is essential to ensure AIRMs are used solely for guidance and to mitigate identified ethical issues.