Researchers engaged with organizations across a variety of industries, each at a different stage of implementing responsible AI. They determined that, although data engineers and data scientists typically take on most responsibility from conception to production of AI development lifecycles, non-technical leaders can play a key role in ensuring the integration of responsible AI. They identified four key moves — translate, integrate, calibrate, and proliferate — that leaders can make to ensure that responsible AI practices are fully integrated into broader operational standards.
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{Categories} _Category: Inspiration,*ALL*{/Categories}
{URL}https://hbr.org/2024/05/how-to-implement-ai-responsibly{/URL}
{Author}Michael Wade{/Author}
{Image}https://hbr.org/resources/images/article_assets/2024/05/MAy24_10_170889078.jpg{/Image}
{Keywords}Business law and ethics,Business ethics,Transparency,Technology and analytics,AI and machine learning,Information technology and telecom sector,Digital Article{/Keywords}
{Source}HBR.org{/Source}
{Thumb}{/Thumb}
