“We need to review and to deepen our concept of security, including cybersecurity,” Ribera said, per the report.
Testing and monitoring devices connected to critical infrastructure are no longer enough, and security also means making sure that the Big Tech companies are “governed by democratic and transparent patterns,” Ribera said, according to 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 said, per the report.
Cyberattacks in Europe have caused refrigerators to overheat, disrupted transit services and interfered with elections, Ribera said, according to the report. However, she declined to comment specifically on cases involving Nvidia and OpenAI.
Nvidia’s board is looking into claims that CEO Jensen Huang was targeted by a foreign espionage effort linked to China, PYMNTS reported Monday. Law enforcement officials in the United States have also arrested an ex-OpenAI engineer on spying-related allegations.
Meanwhile, Big Tech is putting limits on employee AI spending, PYMNTS reported Friday (Nov. 6).
Apple, for example, reduced the daily AI allowance last month for some engineers to $200 from $300 and plans to bring that number down to $100 for some teams. Outside of engineering, Apple is considering a cut to $25 a day from $100.
The iPhone maker joined a list that has been growing since spring. Uber exhausted its AI budget for the year by April, and Chief Technology Officer Praveen Neppalli Naga said the company was “back to the drawing board.” Uber now limits each worker to $1,500 in monthly token spending per AI coding tool, although employees can request permission to go over the limit.
Company AI budgets are still expansive. Among U.S. enterprises with at least $1 billion in yearly revenue, 62% spent over $10 million on new forms of AI in the 12 months before being surveyed, according to the September PYMNTS Intelligence report “AI at Work: Why Deeper Enterprise Use Produces Stronger Returns.”
