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AI solutions should exercise impartial and just treatment without discrimination or favoritism. Beyond governance decisions, tools should be used to measure fairness in datasets and models.
AI solutions should empower everyone and engage people. Inclusiveness in learning sets typically delivers better reliability.
AI solutions should be secure and respect privacy. The learning data and prediction request can often contain sensitive data. Making sure that data is secure and doesn’t impede on privacy should always be of interest.
AI solutions should perform reliably and safely. From reliability and safety in autonomous vehicles to reliability in model predictions, acceptable requirements need to be set and achieved.
AI solutions should have algorithmic accountability, and its creators should be careful about claims of what the technology can do.
AI solutions should be understandable in their intent and method for building their predictions.