Economic Power Centralisation and Inequality
Increasingly advanced general purpose AI models pose the risk of a concentration of economic power and exacerbation of existing inequalities through disparities in effective access to these models. This can materialise on multiple levels, between developers of general purpose AI models and companies building applications on them, between individuals and between countries on a global scale.
ENTITY
1 - Human
INTENT
3 - Other
TIMING
2 - Post-deployment
Risk ID
mit845
Domain lineage
6. Socioeconomic and Environmental
6.1 > Power centralization and unfair distribution of benefits
Mitigation strategy
1. Implement comprehensive regulatory frameworks focused on mitigating AI monopolies and power concentration by mandating data and model transparency, promoting open-source alternatives, and establishing cross-border accountability for general-purpose AI system providers. 2. Strategically invest in global digital and AI infrastructure, capacity-building programs, and technology transfer initiatives to democratize access to foundational AI models, specialized data, and computational resources, thereby actively bridging the socioeconomic and geographic AI divide. 3. Establish incentive mechanisms that systematically align AI development with inclusive growth objectives, rewarding models and applications that prioritize shared value and equitable distribution of economic benefits over profit maximization, drawing on models such as pooled finance for social innovation.