Skip to main content
MIT AI Risk Initiative
BackExploitative data sourcing and enrichment
Home/Risks/Weidinger et al. (2023)/Exploitative data sourcing and enrichment
Undermine creative economies
Loss of control of autonomous systems an…

Exploitative data sourcing and enrichment

Sociotechnical Safety Evaluation of Generative AI Systems

Weidinger et al. (2023)

SourceDOI
Sub-category
Risk Domain
6Socioeconomic & Environmental
6.2Increased inequality and decline in employment quality

Social and economic inequalities caused by widespread use of AI, such as by automating jobs, reducing the quality of employment, or producing exploitative dependencies between workers and their employers.

"Perpetuating exploitative labour practices to build AI systems (sourcing, user testing)"(p. 31)

Entity— Who or what caused the harm

Human

Due to a decision or action made by humans

AI system

Due to a decision or action made by an AI system

Other

Due to some other reason or is ambiguous

Intent— Whether the harm was intentional or accidental

Intentional

Due to an expected outcome from pursuing a goal

Unintentional

Due to an unexpected outcome from pursuing a goal

Other

Without clearly specifying the intentionality

Timing— Whether the risk is pre- or post-deployment

Pre-deployment

Occurring before the AI is deployed

Post-deployment

Occurring after the AI model has been trained and deployed

Other

Without a clearly specified time of occurrence

Part of Socioeconomic and environmental harms

Other risks from Weidinger et al. (2023) (26)

Representation & Toxicity Harms

1.0 Discrimination & Toxicity
AI systemUnintentionalPost-deployment

Representation & Toxicity Harms > Unfair representation

1.1 Unfair discrimination and misrepresentation
AI systemUnintentionalPost-deployment

Representation & Toxicity Harms > Unfair capability distribution

1.3 Unequal performance across groups
AI systemUnintentionalPost-deployment

Representation & Toxicity Harms > Toxic content

1.2 Exposure to toxic content
AI systemUnintentionalPost-deployment

Misinformation Harms

3.0 Misinformation
AI systemOtherPost-deployment

Misinformation Harms > Propagating misconceptions/ false beliefs

3.1 False or misleading information
AI systemOtherPost-deployment
View all 26 risks from this paper →