Claims

The review reports that AI positively contributes to 128 of the 169 SDG targets

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? The review reports, citing prior research, that artificial intelligence positively contributes to 128 of the 169 SDG targets, particularly in health, education, environmental monitoring, and urban development. → Ben Kei Daniel 2026

Evidence

Ben Kei Daniel 2026

Ben Kei Daniel, Nataliya Podgorodnichenko and Sarah Carr. (2026). A scoping review of AI for sustainability and sustainable AI in higher education. Discover Computing. https://doi.org/10.1007/s10791-025-09861-2

q2 · i? · review · r2

The review's synthesis stage reports this figure, attributing it to prior research it cites. The review states AI's contributions are evident in healthcare disease detection and in education, where AI enhances personalized learning and improves accessibility.

"Research indicates that artificial intelligence positively contributes to 128 of the 169 SDG targets, particularly in areas such as health, education, environmental monitoring, and urban development"

Discussion

Page metadata
Field Value
type claim
id ai-contributes-128-of-169-sdg-targets
title The review reports that AI positively contributes to 128 of the 169 SDG targets
description The review reports that AI positively contributes to 128 of the 169 SDG targets
status review
evidence_strength weak
newest_evidence 2026
recheck_by 2031
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — ben-kei-daniel-2026

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