From flattery to debate: Training AI to mirror human reasoning
Generative artificial intelligence systems often work in agreement, complimenting the user in its response. But human interactions aren’t typically built on flattery. To help strengthen these conversations, researchers in the USF Bellini College of Artificial Intelligence, Cybersecurity and Computing are challenging the technology to think and debate in ways that resemble human reasoning.
Physician-investigators compared a chatbot's probabilistic reasoning to that of human clinicians. The findings suggest that artificial intelligence could serve as useful clinical decision support tools for physicians.
The artificial intelligence language model GPT-3 performed as well as college students in solving certain logic problems like those that appear on standardized tests. The researchers who conducted the experiment write that the results prompt the question of whether the technology is mimicking human reasoning or using a new type…
Google took its next leap in artificial intelligence Wednesday with the launch of project Gemini, an AI model trained to behave in human-like ways that's likely to intensify the debate about the technology's potential promise and perils.