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Brianna White

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Jul 30, 2019
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These three layers of governance are critical in building ethical, effective AI.
The Ancient Greek playwrights knew how to tell a good story, but occasionally found themselves searching for a way to solve whatever conflict they had concocted. So they invented the “deus ex machina”—literally, god from the machine—in which an actor playing a god was brought on stage via a mechanical device to miraculously resolve the problem as only a god can do.
These days, artificial intelligence (AI) is becoming our version of the deus ex machina, promising to swoop in and solve our most pressing business problems. But, like the Greek gods, AI can be fickle and fallible.
AI has the potential to significantly improve the way we make decisions. It can also make recommendations that are unfair, harmful, and fundamentally wrong. There are a lot of ways bias can make it into our models, from poor data quality to spurious correlations.
Fortunately, though, by applying technological, ethical, and legal governance around the development and use of AI, we can significantly reduce the impact of bias in our models. 
Continue reading: https://www.forbes.com/sites/servicenow/2021/11/05/governing-the-future-of-ai/?sh=1fef47a52d2a
 

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