What should you implement to identify hateful responses returned by a generative Al solution?

The correct answer is C. content filtering. Content filtering can be used to identify hateful responses from generative AI solutions by analyzing both user prompts and AI-generated outputs for harmful content before they are returned to the user. This is often done using pre-built classification models that detect various

Submitted by carlos_mx· Mar 30, 2026Describe AI workloads and considerations

Question

What should you implement to identify hateful responses returned by a generative Al solution?

Options

Aprompt engineering
Babuse monitoring
Ccontent filtering
Dfine-tuning

How the community answered

(46 responses)

A
2% (1)
B
4% (2)
C
93% (43)

Explanation

Content filtering can be used to identify hateful responses from generative AI solutions by analyzing both user prompts and AI-generated outputs for harmful content before they are returned to the user. This is often done using pre-built classification models that detect various categories of harmful content, such as hate, violence, or sexual content, and can be customized to block content at different severity levels. https://learn.microsoft.com/da-dk/azure/ai-services/openai/concepts/content-filter

Topics

#AI safety#Content filtering#Generative AI

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