Incorporating responsible AI into generative AI project prioritization
Machine Learning Blog
This article discusses how to incorporate responsible AI practices into generative AI project prioritization, focusing on systematically addressing potential risks and challenges.
- Responsible AI involves eight key dimensions: fairness, explainability, privacy, safety, controllability, veracity, governance, and transparency
- Uses Weighted Shortest Job First (WSJF) method to evaluate project priorities
- Demonstrates how responsible AI risk assessment can change project prioritization
- Compares two example projects: automated product descriptions and visual brand asset generation
- Shows that initial intuitive project ranking can change after thorough risk assessment
The key takeaway is that companies should develop responsible AI policies and consider potential risks early in the project planning phase to minimize potential negative impacts and unexpected complications.
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