ENVENV-003 — Resource Allocation Imbalances
Recommender Algorithms Amplify Anthropocentric Bias and Animal Cruelty Content
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Algorithmic recommender systems reinforce and escalate harmful content relating to factory farming and animal cruelty by optimising for engagement over ethical considerations. Organisations deploying such systems face growing regulatory scrutiny and reputational risk as AI-driven harm frameworks expand beyond human subjects.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — Harm to Nonhuman Animals from AI: a Systematic Account and Framework (Coghlan2023) ↗https://airisk.mit.edu/
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