chore(cms): update "src/collections/risks/en/r13.md"

Author: lliskovoi

src/collections/risks/en/r13.md

@@ -1,6 +1,7 @@
 ---
 index: R13
 title: Exploitation of under-employed persons with disabilities in AI gig work
+shortTitle: Exploitation
 excerpt: Low-paid AI data work may exploit people with disabilities in ways that reinforce economic inequality and risk worsening health conditions.
 risk: Low-paid data labelling, reinforcement learning (from human feedback), and content-moderation tasks—the "ghost work" that trains AI systems—disproportionately falls on under-employed persons with disabilities in low- and middle-income countries (LMICs), often under conditions that exacerbate disability. This pattern is documented in academia in decolonial AI literature as a defining feature of algorithmic coloniality.
 mitigation: Living-wage floors should be required for AI data work, and accessibility audits should apply to gig platforms themselves, as opposed to being applied only to the AI products built on top of them. Recognition of labelling labour in AI supply-chain reporting, a right to disconnect, and medical and ergonomic protections should be established.