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Summaries, Insights, Recommendations

Definition


Summaries: A natural language summarization of a data set.
Insights: A natural language explanation of patterns and relationships in a dataset.
Recommendations: Prescriptive guidance users can take to make a measurable impact on their data.

Requirements


1. Attribution pattern [link to UI]
Deliver design to communicate content is authored by AI, in words or by symbols.
2. Contextual data pattern [link to UI]
Deliver design to give the user a way to navigate to the data that informed the summary, insight, or recommendation.
3. Explainability patterns [link to template]
If the contextual data pattern is not present, then deliver a design to explain to users the inputs behind and output and link to the Qualtrics data privacy policy.
4. Ethical disclosure pattern [link to UI]
Deliver design to warn users of potential inaccuracies in an AI output.

Case studies


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