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Capability 5.2.2

Interdisciplinary & Domain Expertise

Definition

Skills to combine deep sector knowledge with cross-disciplinary insight, bringing together experts in fields like law, health, engineering, environment and social science to design AI systems that are ethical, effective and compliant. This ensures AI decisions are context-aware and grounded in real-world understanding.

Examples

  • AI4Science and AI4Health (CSIRO & partners)
  • University of Melbourne 'AI in Law and Ethics' microcredential
  • NSW Department of Customer Service and CSIRO 'AI for Safer Workplaces' pilot (2024).

Indicators

  • Number of domain-specific AI microcredential completions (health, law, energy, finance)
  • Percentage of AI projects with domain co-design or ethics approval

National AI Plan

PLAN COMMITMENT

Limited commitment

General commitments building AI workforce capability (Action 5), but no specific reference to policies on interdisciplinary AI expertise that combines deep sector knowledge with cross-disciplinary insight. Warrants attention to identify data (given this capability could generate very high agency and leverage).

Stocktake

  • Australia does have institutions that are actively building interdisciplinary and domain expertise for AI (UNSW, ANU, University of Adelaide).

Is the Stocktake missing evidence?

Share additional information for potential future Assessments