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Joseph B Lyons1, Kerianne Hobbs1, Steve Rogers1

  • 1Air Force Research Laboratory, Dayton, OH, United States.

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Applying human ethics to artificial intelligence (AI) is problematic. Research should focus on the ethical development and use of AI, ensuring transparency and human-centered design for safer AI applications.

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Area of Science:

  • Artificial Intelligence (AI) Ethics
  • Human-Computer Interaction
  • AI Safety and Governance

Background:

  • Traditional philosophical definitions of ethics applied to human behavior face challenges when extended to artificial intelligence (AI).
  • Attributing inherent ethical characteristics to AI can foster unrealistic expectations and potential risks.
  • A shift towards researching the practical, ethical application of AI throughout its lifecycle is necessary.

Purpose of the Study:

  • To highlight the difficulties in applying human ethical frameworks directly to AI.
  • To advocate for a research agenda focused on the responsible development and deployment of AI.
  • To propose key areas for advancing ethical AI practices.

Main Methods:

  • The study advocates for a proactive research approach rather than reactive ethical considerations.
  • It emphasizes a multi-faceted strategy encompassing education, transparency, design, and operational monitoring.
  • The authors propose five key research directions for ethical AI.

Main Results:

  • Directly applying human ethics to AI is fraught with challenges due to AI's nature.
  • Five critical research areas are identified: AI ethics education, model transparency (model cards/datasheets), human-centered design, runtime assurance, and human-AI co-creation.
  • These areas aim to foster responsible AI development and deployment.

Conclusions:

  • AI cannot be inherently "ethical" in the human sense; focus must be on ethical use and development.
  • Implementing transparency, human-centered design, and runtime assurance are crucial for mitigating AI risks.
  • Continued research in these five areas is essential for ensuring AI systems align with human values and societal good.