4 SDG Target Mapping

Draft abstract: this chapter closes Part I by mapping technical capability clusters from Chapter 2 onto specific SDG indicators, and by returning to the institutional comparison opened in 小节 2.4.

SDG alignment taxonomy · indicator mapping · knowledge-policy nexus · data provenance

4.1 Alignment Taxonomy

Mapping technical capabilities to specific SDG indicators (e.g., Target 9.4, 12.4) rather than headline SDG numbers alone.

4.2 Identifying Negative Externalities and Trade-offs

Where “AI for good” claims and material/energy costs diverge.

4.3 Comparative Knowledge Mapping: UNU, OECD, ADB

Extends 小节 2.4 into a knowledge-to-policy comparison across the three institutions.
Framed as fostering open, collaborative innovation across multilateral agencies, not a ranking exercise.

4.4 3.4 Data Governance and Provenance for SDG Claims

Minimum provenance metadata required before a claim can be cited in downstream chapters (DPP in 章节 8; RegTech in 章节 11).

Bridge to Part II

Part II turns this evidence base into the design layer: the extended ITU canvases.