Google tightens AI search rules to curb algorithmic manipulation
Original framing: “Google updates its spam rules to include attempts to ‘manipulate’ AI” — The Verge
Small creators, particularly in the Global South, are disproportionately affected by AI manipulation. Their voices are often excluded from policy discussions, despite being the most vulnerable to algorithmic bias and exploitation.
Google's updated spam policy is a symptom of a deeper systemic issue in AI governance: the commodification of attention and the exploitation of algorithmic systems for profit.
This issue is not unique to Google but reflects global patterns of digital manipulation and power asymmetry. Indigenous knowledge systems offer alternative models for ethical AI, while historical parallels show that this is not a new problem but one that has evolved with technology. Cross-culturally, the impact of AI manipulation varies, with marginalized communities often bearing the brunt. A systemic solution requires decentralized governance, ethical auditing, and community-driven literacy to rebalance power dynamics and ensure equitable AI systems.