MIT AI Risk Repository · Risk Sub-Category · 55.03.01
Unequal distribution of harms and benefits
Category: Increased power concentration and inequality
Description
"AI-driven industries seem likely to tend towards monopoly and could result in huge economic gains for a few actors: there seems to be a feedback loop whereby actors with access to more AI-relevant resources (e.g., data, computing power, talent) are able to build more effective digital products and services, claim a greater market share, and therefore be well-positioned to amass more of the relevant resources [14, 39, 45]. Similarly, wealthier countries able to invest more in AI development are likely to reap economic benefits more quickly than developing economies, potentially widening the ga
From A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Human
- Intent
- Intentional
- Timing
- Other
Subdomain definition: AI-driven concentration of power and resources within certain entities or groups, especially those with access to or ownership of powerful AI systems, leading to inequitable distribution of benefits and increased societal inequality.
Real-world incidents in this subdomain
- LLM Scrapers Allegedly Target Multiple Open Source Projects Disrupting the FOSS Ecosystem
- Coupang Allegedly Tweaked Search Algorithms to Boost Own Products
- Amazon Allegedly Tweaked Search Algorithm to Boost Its Own Products
- Gmail’s Inbox Sorting System Reportedly Reduced Visibility of Political Emails and Campaign Calls-to-Action
- Google Fined for Changing Shopping Algorithms in EU to Favor Own Service
- Amazon India Allegedly Rigged Search Results to Promote Own Products
How other frameworks describe this risk
Other entries from Clarke2023
- Risks from accelerating scientific progress
- Eased development of technologies that make a global catastrophe more likely
- Eased development of technologies that make a global catastrophe more likely
- Faster scientific progress makes it harder for governance to keep pace with development
- Faster scientific progress makes it harder for governance to keep pace with development
- Worsened conflict
- AI enables development of weapons of mass destruction
- AI enables automation of military decision-making
- AI-induced strategic instability
- Resource conflicts driven by AI development
- Increased power concentration and inequality
- AI-based automation increases income inequality