Responsible AI: Exploring Generative AI with SAS

SAS practices its AI responsibly through the principles of explainability, non-nondiscrimination, recognition of their governance, and data confidentiality. This include: explainability to ensure that the AI operating system and its decision is understandable; Fairness in that any outcome that the AI has arrived at cannot be discriminative; Supervised control that suggests there must always be human control and monitoring of any AI system; Data protection to ensure maximum protection of users’ information.To answer this question, let us turn to the particular domains that can be enhanced with the help of Generative AI and SAS.At SAS some of the areas that it uses generative AI are healthcare, finance, marketing, and manufacturing businesses. As such, the uses of synthetic data include conducting research using fake data, optimally designing products, and identifying fraud.

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