MIT AI Risk Repository · Risk Category · 37.01.00
Design of AI
Description
"ethical concerns regarding how AI is designed and who designs it"
From What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Human
- Intent
- Intentional
- Timing
- Pre-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 Giarmoleo2024
- Algorithm and data
- Algorithm and data
- Algorithm and data
- Balancing AI's risks
- Balancing AI's risks
- Balancing AI's risks
- Balancing AI's risks
- Balancing AI's risks
- Threats to human institutions and life
- Threats to human institutions and life
- Threats to human institutions and life
- Uniformity in the AI field