A way to govern ethical use of artificial intelligence without hindering advancement
Texas A&M University School of Public Health researchers are developing a new governance model for ethical guidance and enforcement in the rapidly advancing field of artificial intelligence (AI). Known as Copyleft AI with Trusted Enforcement, or CAITE, the researchers believe this model will guard against the potential harms of AI without hindering technological advancements.
Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves…
An interdisciplinary team of researchers has developed a blueprint for creating algorithms that more effectively incorporate ethical guidelines into artificial intelligence (AI) decision-making programs. The project was focused specifically on technologies in which humans interact with AI programs, such as virtual assistants or "carebots" used in healthcare settings.