Quantifying Actionability: Evaluating Human-Recipient Models
With the increasing use of machine learning and artificial intelligence(ML/AI) to inform decisions, there is a need to evaluate models beyond the traditional metrics, and not just from the perspective of the issuer-user (I-user) commissioning them but also for the recipient-user (R-user) impacted by...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10286013/ |