MIT AI Risk Repository · Risk Sub-Category · 19.01.07
High investment costs of AI hinder integration
Category: Technological, Data and Analytical AI Risks
Description
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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Human
- Intent
- Other
- Timing
- Post-deployment
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 Wirtz2022
- Technological, Data and Analytical AI Risks
- Loss of control of autonomous systems and unforeseen behaviour due to lack of transparency and self-programming/ reprogramming
- Programming error
- Lack of data, poor data quality, and biases in training data
- Vulnerability of AI systems to attacks and misuse
- Lack of AI experts with comprehensive AI knowledge
- Immaturity of AI technology can cause incorrect decisions
- Informational and Communicational AI Risks
- Manipulation and control of information provision (e.g., personalised adds, filtered news)
- Disinformation and computational propaganda
- Censorship of opinions expressed in the Internet restricts freedom of expression
- Endangerment of data protection through AI cyberattacks