Data in the generative AI era: We need more knowledge engineers – SiliconANGLE
Name the hot buttons about generative artificial intelligence, and they often center around data.
Here’s just one example. A recent survey of more than 300 risk and compliance professionals on AI by risk management firm Riskonnect revealed top concerns over data privacy and cyber issues. It was followed closely by employee decisions based on erroneous information, and with it, employee misuse and ethical risks. And then there were copyright and intellectual property risks. Similar conclusions have come from KPMG, the Massachusetts Institute of Technology, PricewaterhouseCoopers and others.