AI Governance and Risk Management: An In-House Perspective

AI Governance and Risk Management: An In-House Perspective

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Because Artificial Intelligence (AI) technology is created and used by humans there are a variety of risks that must be solved to ensure integrity, accuracy, and reliability of AI technologies and the output of those technologies.

Artificial intelligence governance refers to the best practices and policies associated with the development, implementation, and reliance on AI in a way that ensures the use of AI technologies align with ethical standards, transparency, accountability, and fairness. The goal of robust and functioning AI governance seeks to align AI behavior and societal expectations to safeguard against adverse impacts associated with the use and reliance on AI technologies.

This panel will discuss issues relating to data provenance, including: (1) How did you obtain the data you are using; (2) Did you have the right to collect and retain the data; and (3) Do you have the right to use the data for the intended purpose?

The panel will also discuss issues relating to accuracy and reliability, including: (1) The Accuracy threshold (i.e., how accurate must AI output be to be accepted as “accurate”); (2) Mechanisms for determining potentially biased outputs; and (3) Whether your training set is truly representative.

Finally, the panel will discuss issues relating to retention of information, including: (1) How does an individual know their data and information is being subjected to use by AI; (2) Whether an individual can access or amend their data in the system; and (3) Whether it is necessary to update consent if conditions have changed or significant time has passed.

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