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Anthropomorphism in AI.

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Anthropomorphism in artificial intelligence (AI) research, particularly in brain-inspired AI, has ethical implications. Examining AI

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Area of Science:

  • Artificial Intelligence Ethics
  • Philosophy of Technology
  • Cognitive Science

Background:

  • Rapid advancement in AI research highlights ethical concerns regarding safety and societal impact.
  • Anthropomorphism, attributing human traits to AI, is prevalent in public perception and AI discourse.
  • Existing literature extensively discusses public anthropomorphism and its ethical consequences, especially concerning social robots.

Purpose of the Study:

  • To investigate the extent and impact of anthropomorphism within the AI research community itself.
  • To analyze the epistemological and ethical consequences of anthropomorphic language in AI development.
  • To underscore the necessity of conceptual analysis alongside practical considerations in AI ethics.

Main Methods:

  • Distinguishing between normative and conceptual approaches to AI ethical issues.
  • Analyzing the manifestations of anthropomorphism in public perception of AI.
  • Exploring the presence and influence of anthropomorphism within AI research, with a focus on brain-inspired AI.

Main Results:

  • Anthropomorphism is present not only in public discourse but also within the language used by AI researchers, designers, and programmers.
  • The use of anthropomorphic language in AI research may lead to significant epistemological and ethical consequences.
  • Brain-inspired AI research shows particular susceptibility to anthropomorphic framing.

Conclusions:

  • A deeper conceptual analysis of anthropomorphism in AI research is crucial for addressing ethical challenges.
  • Recognizing and critically evaluating anthropomorphic language within the AI community is essential for responsible AI development.
  • Integrating conceptual clarity with practical advancements is vital for navigating the ethical landscape of artificial intelligence.