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.
IT/OT training is still evolving, as integrating the two disciplines is relatively new. Incorporate these tips, and consider a handful of courses to help.
Generative artificial intelligence is already being deployed to mislead and deceive voters in the 2024 election, making it imperative that voters take steps to identify inauthentic images, audio, video, and other content designed to deceptively influence their political opinions. While election disinformation has existed throughout our history, generative AI amps up the risks. It changes […]