The ability to test and learn is supercritical - Meg Bear

The other piece that's really important to us is, the transparency and the clarity of how we're using data because we know that there are a lot of unintended consequences as well - Meg Bear

We're trying to be very thoughtful, looking at it as an opportunity
for nudges and better interactivity and better connection with the individual add less about it doing all of the work for you - Meg Bear
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AI is already intimately involved in our behaviors. 
(Use GPS routing, or a spam filter today?)

Transparency is critical because as Meg states, the models are built on imperfect data, unintended consequences are inevitable, and they're part of the game, so the only way to address this is with transparency.

Thanks again Meg.

Meg Bear: Individual Experience, Responsive, Dynamic, Transparent | Work 20XX - https://lnkd.in/ggNVcPSH or wherever you podcast. This episode of 'Work 20XX' brought to you by Webex by Cisco visit WebexAhead https://lnkd.in/gfiC-pjX

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