If you are an insurance company, it is problematic to use social media data in the form of pictures and use AI to scan them for people who are smoking, while in their insurance application they stated otherwise.
Lack of transparency, problems with bias, accuracy issues, and issues with purpose boundaries are the most pressing real-world issues around AI today, according to Gartner analyst Frank Buytendijk.
With the rise of AI, governance must shift from data science teams to CIOs, who can address ethical concerns in a more practical manner.
While AI vendors are increasingly publishing transparency reports, criticism from AI doomers regarding regulations that overlook long-term harms continues to fuel discussions.
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