“We need to review and to deepen our concept of security, including cybersecurity,” Ribera mentioned, per the report.
Testing and monitoring units linked to vital infrastructure are now not sufficient, and safety additionally means ensuring that the Big Tech corporations are “governed by democratic and transparent patterns,” Ribera mentioned, based on the report.
“We need to be quite quick in the deployment of these new approaches … This is one of the most critical topics for security, for democracy, and for [our] values,” Ribera mentioned, per the report.
Cyberattacks in Europe have triggered refrigerators to overheat, disrupted transit companies and interfered with elections, Ribera mentioned, based on the report. However, she declined to remark particularly on circumstances involving Nvidia and OpenAI.
Nvidia’s board is trying into claims that CEO Jensen Huang was focused by a foreign espionage effort linked to China, PYMNTS reported Monday. Law enforcement officers within the United States have additionally arrested an ex-OpenAI engineer on spying-related allegations.
Meanwhile, Big Tech is placing limits on employee AI spending, PYMNTS reported Friday (Nov. 6).
Apple, for instance, diminished the daily AI allowance final month for some engineers to $200 from $300 and plans to deliver that quantity right down to $100 for some groups. Outside of engineering, Apple is contemplating a minimize to $25 a day from $100.
The iPhone maker joined a listing that has been rising since spring. Uber exhausted its AI budget for the yr by April, and Chief Technology Officer Praveen Neppalli Naga mentioned the corporate was “back to the drawing board.” Uber now limits every employee to $1,500 in month-to-month token spending per AI coding software, though workers can request permission to go over the restrict.
Company AI budgets are nonetheless expansive. Among U.S. enterprises with not less than $1 billion in yearly income, 62% spent over $10 million on new types of AI within the 12 months earlier than being surveyed, based on the September PYMNTS Intelligence report “AI at Work: Why Deeper Enterprise Use Produces Stronger Returns.”
