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Human exploitation risk for AI
Last updated: Dec 12, 2024
Human exploitation risk for AI
Societal impact Icon representing societal impact risks.
Non-technical risks
Societal impact
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Description

When workers who train AI models such as ghost workers are not provided with adequate working conditions, fair compensation, and good health care benefits that also include mental health.

Why is human exploitation a concern for foundation models?

Foundation models still depend on human labor to source, manage, and program the data that is used to train the model. Human exploitation for these activities might negatively impact the society and human welfare.

Background image for risks associated with input
Example

Low-wage workers for data annotation

Based on a review of internal documents and employees‘ interviews by TIME media, the data labelers that are employed by an outsourcing firm on behalf of OpenAI to identify toxic content were paid a take-home wage of between around $1.32 and $2 per hour, depending on seniority and performance. TIME stated that workers are mentally scarred as they were shown toxic and violent content, including graphic details of “child sexual abuse, bestiality, murder, suicide, torture, self-harm, and incest”.

Parent topic: AI risk atlas

We provide examples covered by the press to help explain many of the foundation models' risks. Many of these events covered by the press are either still evolving or have been resolved, and referencing them can help the reader understand the potential risks and work towards mitigations. Highlighting these examples are for illustrative purposes only.

Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more