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Non-disclosure risk for AI

Non-disclosure risk for AI

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Risks associated with output
Misuse
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Description

Content might not be clearly disclosed as AI generated.

Why is non-disclosure a concern for foundation models?

Users must be notified when they are interacting with an AI system. Not disclosing the AI-authored content can result in a lack of transparency.

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Example

Undisclosed AI Interaction

According to the source article, an online emotional support chat service ran a study to augment or write responses to around 4,000 users by using GPT-3 without informing users. The co-founder faced immense public backlash about the potential for harm that is caused by AI-generated chats to the already vulnerable users. He claimed that the study was “exempt” from informed consent law.

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