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BBCNEWS Asia Business Report June 4, 2024 01:36:00

Is not a new topic in the digital age, but generative ai has elevated the threat. when we ask ai tools like chatgpt to answer questions or perform tasks, we may also share sensitive information and put it in the public domain. thatjust means that there is a heightened chance of such data being used, broadcast far more widely to an audience that includes competitors, customers, regulators, and board members. actually, research done by cyberhaven, a data security company, found that 11% of data employees paste into ai tools is actually confidential. so, in terms of the guardrails, in accenture we actually believe that there is no one size fits all. a holistic approach is very much needed. beyond regulation and governance, yes, it starts with regulation by governments and regulatory bodies. ....

Ai Tools , Board Members , Public Domain , Data Security Company ,

TOKYO Japan's education ministry plans to develop a generative artificial intelligence program that produces medical and scientific hypotheses by l ....

Ministry Of Education ,

Adobe introduces new generative AI feature for photoshop

Adobe introduces new generative AI feature for photoshop ....

Generative Expand ,

MSNBC Morning Joe June 4, 2024 11:32:00

Attention to that man behind the curtain. what s behind the cost of ai, the generative ai cannot generate anything at all without first being trained on massive troves of data it then recombines. who produces that training data? people do. and those people deserve residuals. for example, let s say a new ai can generate a complete feature film at the click of a button. some industry insiders think this actually could happen pretty soon. building that ai would require a bazillion past movies to be used as training data. therefore, anytime this ai yielded a new movie, those people should get residuals. and everyone whose work the ai will be ingesting, mashing up, and mimicking. i think a lot of layman say, what are they striking about, ....

Ai Cannot , U S , Training Data , Feature Film , Industry Insiders , Bazillion Past Movies , Mashing Up , Layman Say ,