Our six principles for ethically developing machine learning paid Workday
By Barbara Cosgrove, Vice President, Chief Privacy Officer, Workday
Today’s business environment is more complex than ever. Whether it’s new regulatory requirements or the battle for talent, customers all have a common opportunity: identifying new ways to make smarter decisions that lead to better outcomes.
At Workday, ML isn’t about supplanting human decision-makers. Rather, ML-fueled applications make predictions that, when combined with human judgment, help inform better decisions. But the success of ML, like any emerging technology, depends upon trust, and that trust will exist only if companies adhere to responsible, ethical practices.
Workday believes ML in the enterprise will fundamentally improve the way we work and live, but in the face of such a profound technological and societal change, it’s vital that we commit to an ethical compass. Ours is comprised of six key principles that guide how we develop ML for the enterprise responsibly and work to help address its broader societal impact:Workday always respects fundamental human rights.
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