Human-centricity in AI governance: A systemic approach.

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.