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Impact on affected communities risk for AI
Last updated: Dec 12, 2024
Impact on affected communities risk for AI
Societal impact Icon representing societal impact risks.
Non-technical risks
Societal impact
Traditional AI risk

Description

It is important to include the perspectives or concerns of communities that are affected by model outcomes when designing and building models. Failing to include these perspectives makes it difficult to understand the relevant context for the model and to engender trust within these communities.

Why is impact on affected communities a concern for foundation models?

Failing to engage with communities that are affected by a model’s outcomes might result in harms to those communities and societal backlash.

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