Responsible AI is an umbrella term used to describe an approach that considers the business, legal, and ethical choices in the design, development, deployment, and adoption of AI. The overarching goal is to develop processes that are human-centered and can facilitate the use of AI in a safe, trustworthy, and ethical fashion, increase transparency, and help reduce issues such as bias.

The lack of standards across the research field and AI enterprise makes it difficult to provide a comprehensive survey of the Responsible AI framework. This paper provides discusses issues raised by distinct AI methodologies, provides a review of the various company approaches to implementing Responsible AI, and surveys some of the top AI models in addressing issues concerning Responsible AI.

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