Study warns cost-cutting use of generative AI could increase cyber-attack risks
- May 5
- 1 min read
PHYS.org — Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform steps within a machine learning system could increase serious risks.
Michael Lones, professor at Heriot-Watt University's School of Mathematical and Computer Sciences, has argued in a new paper that generative AI could expose organizations and the public to unintended harm.
These include cyber-attacks, data breaches, and bias against underrepresented groups, despite potential cost and efficiency benefits.
