Responsible AI refers to a set of frameworks that promote accountable, ethical and transparent Artificial Intelligence (AI) development and adoption. From approving loan agreements to selecting job candidates, many AI use cases are sensitive in nature. Organizations adopt responsible AI models to avoid biases, which can be ingrained in AI design or the data sources it uses.
As AI becomes more sophisticated and prevalent, ethical considerations must be given significant consideration. Industry leaders and end users alike are calling for more AI regulation.
Responsible AI best practices generally apply the following guidelines: