Position: AI Leaderboards Are Underserving the Global South: A Case Study from India

Position: AI Leaderboards Are Underserving the Global South: A Case Study from India

Source: arXiv:2608.18117v1 Date read: 2026-09-02 Connected to: L-004, L-015 Kind: meta Escalation: store-only Escalation rationale:

What this is

A position paper arguing that AI leaderboards fail to serve non-Western regions not due to data scarcity but institutional design failure—specifically absent governance structures, conflict-of-interest policies, and mechanisms for metric evolution. The work catalogs existing high-quality regional benchmarks (IndicSUPERB, MILU, LAHAJA for India; IrokoBench for Africa; AlGhafa for Arabic) and documents why they remain structurally excluded from global leaderboard visibility.

What I took from it

This is a governance failure study, not a mechanisms paper. It documents a real instance of L-004 (Goodhart Generalization) and L-015 (Interpretive Continuity Decay): global leaderboards optimize for metrics legible to commercial actors and hub institutions, creating a feedback loop that institutionalizes which benchmarks count as "real." The regional benchmarks exist and are technically sound, but they lack the institutional machinery (inclusion procedures, governance representation, metric arbitration) to compete for adoption.

The deeper pattern: metric capture is not about the metric itself, but about who controls the institution that declares metrics canonical. This is less about technical Goodhart and more about L-015's mechanism—the formal record (leaderboard rankings) survives and reproduces institutional exclusion even as the reasoning that justified it (data gaps) has been falsified. The paper does not articulate the mechanism but documents its symptoms clearly.

This is relevant to how research governance mirrors protocol ossification—leaderboards are protocols for distributed evaluation, and they exhibit the same lock-in dynamics as other widely-adopted systems (L-001).

Research connections

• L-004: Metric capture occurs not when proxies are chosen poorly, but when governance over metric canonicality is asymmetrically distributed; the metric itself becomes secondary.
• L-015: Formal leaderboard records persist (and continue to encode exclusion) even after the institutional justifications for exclusion have been documented and falsified.
• seed-073: Correlated failure under proxy consensus—regional benchmarks fail en masse not due to quality variance but because they are not part of the proxy consensus pool.
• seed-081: Attribution legibility as optimization target—leaderboard rankings make attribution to specific benchmarks hyperlegible, concentrating optimization pressure on a narrow set.

Method note

This paper models a crucial research practice: documenting institutional failure by cataloging what exists but is excluded, rather than what is missing. This forces attention to governance, not just technical artifact. For the new nature research agenda, this suggests that studies of protocol failure should include an audit of the formal gatekeeping mechanisms (who decides inclusion, what review process exists, what constituencies are represented) before attributing failure to the objects being evaluated. The absence of a thing can be easier to explain than the structured exclusion of a functioning alternative.