by Lynn | Jan 30, 2024 | AI, Ethics, Information Quality, Risk, Society
Peer-Reviewed Publication Tsinghua University Press There’s always some truth in fiction, and now is about the time to get a step ahead of sci-fi dystopias and determine what the risk in machine sentience can be for humans. Although people have long pondered the...
by Lynn | Nov 20, 2023 | AI, Creativity & Innovation
Peer-Reviewed Publication Aarhus University Recent advancements in generative artificial intelligence (AI) have showcased its potential in a wide range of creative activities such as to produce works of art, compose symphonies, and even draft legal texts, slide...
by Lynn | Nov 9, 2023 | AI, Information Quality, Science
A new statistical technique allows researchers to safely use machine learning predictions to test scientific hypotheses Peer-Reviewed Publication University of California – Berkeley image: A new statistical technique allows researchers to safely use...
by Lynn | Oct 9, 2023 | AI, Education and Training
Researchers are urging an evidence-based approach to the use of simulations to train medics and teachers, amid signs that technologies like artificial intelligence (AI) and mixed reality could reshape education in both professions. Peer-Reviewed Publication University...
by Lynn | Oct 5, 2023 | AI, Government
Business Announcement American Association for the Advancement of Science (AAAS) The American Association for the Advancement of Science (AAAS) has conceived of and launched a new artificial intelligence (AI) fellowship in just two months — record speed — to support...
