Training AI while preserving privacy
Training AI while preserving privacy
How do businesses protect private information while sharing data for artificial intelligence-based research?
As part of a Office of Nuclear Energy, U.S. Department of Energy Light Water Sustainability Program project, Mr. Sundaram, Dr. Abdel-Khalik, and Dr. Al Rashdan from INL, have developed a novel data masking paradigm called the Deceptive Infusion of Data to train artificial intelligence tools while also keeping the system’s proprietary information and/or potential vulnerabilities private.