Provide information about your solution to bring transparency and gain trust with your users.
Machines learn from data. They find relationships, develop understanding, make decisions, and evaluate their confidence from the training data they’re given. And the better the training data is, the better the machine learning model performs. Providing information about sources of your data may help to identify possible inherent bias.
Source code can be proprietary or open, and licensing agreements often reflect this distinction. Access to source code also allows programmers and skilled users to contribute to the community as well as to evaluate privacy and security risks associated with the application logic.
The decision space is the set of all possible decisions that the system can make.
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