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Summary
With all the focus and new legislation on data privacy, organizations need to keep governance at the forefront when reconciling the use of emerging technologies with compliance and privacy considerations. Organizations can look to their general data privacy framework and expand it to consider unique AI challenges. Pay close attention to compliance obligations under privacy laws and determine how AI fits into that. Proper responses like whether to delete and retain data or provide consumer notification will be situation dependent. Including a data retention timeline or notification to potential applicants that a profile will be generated could be two key components of an AI privacy framework and help spark the creation of information policies for all people within the organization using these solutions to follow. Data privacy is always evolving, especially as new technologies emerge and integrate into the business world. A major obstacle to anticipate when creating AI governance plans is what to do when an organization collects data because they think it might be valuable to eventually run through an AI solution.
Show Notes
Some examples include creditors automating decisions on consumer approvals or employers using AI technology to assist with hiring determinations.
However, to improve AI governance, there needs to be a larger focus on the data that AI systems rely upon to make inferences.
Having a handle on this aspect of AI will also contribute to stronger information governance practices.
This will strengthen information governance, bring unknown obligations to the surface, and lessen the risk of noncompliant behavior.
With AI governance, there will undoubtedly be challenges and a learning curve.
