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Human-centricity in AI governance: A systemic approach.

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Summary

Human-Centered AI (HCAI) policies often fall short of promoting true technological emancipation. Expanding design to include community and societal views is crucial for well-being and the common good.

Keywords:
AI for the common goodartificial intelligencecollaborationethicsgovernancehuman-centeredsocial sustainability

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Area of Science:

  • Artificial Intelligence Governance
  • Technology Ethics
  • Public Policy

Background:

  • Human-centricity is a stated goal in AI development and governance.
  • Current Human-Centered AI (HCAI) approaches in policy may not fully realize emancipatory technology's potential.
  • Existing HCAI frameworks adapt human-centered design (HCD) for AI governance without sufficient reform.

Purpose of the Study:

  • To critically examine the limitations of current HCAI policy discourses.
  • To explore how HCAI can be leveraged for technological emancipation in public AI governance.
  • To propose an expanded framework for socially sustainable AI development.

Main Methods:

  • Analysis of HCAI in policy documents and AI strategies.
  • Exploration of community- and society-centered design perspectives.
  • Discussion of prerequisites for inclusive AI governance.

Main Results:

  • HCAI in policy often focuses narrowly on rights, not full emancipation.
  • Ambiguity in HCAI policy hinders practical operationalization.
  • Expanding user-centered design to community- and society-centered views is key.

Conclusions:

  • Rethinking HCAI is necessary for achieving emancipatory technology.
  • Inclusive governance modalities enhance social sustainability of AI.
  • A systemic approach is needed for ethical and socially sustainable AI development and deployment.