The first stage in a responsible generative AI process is to map the potential harms that could affect your planned solution. There are four steps in this stage, as shown here:
- Identify potential harms
- Prioritize identified harms
- Test and verify the prioritized harms
- Document and share the verified harms
1: Identify potential harms
The potential harms that are relevant to your generative AI solution depend on multiple factors, including the specific services and models used to generate output as well as any fine-tuning or grounding data used to customize the outputs. Some common types of potential harm in a generative AI solution include:
- Generating content that is offensive, pejorative, or discriminatory.
- Generating content that contains factual inaccuracies.
- Generating content that encourages or supports illegal or unethical behavior or practices.
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