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 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 | Aug 30, 2023 | AI, Information Quality, Teamwork & Cooperation
Peer-Reviewed Publication Ludwig-Maximilians-Universität München Even when humans see AI-based assistants purely as tools, they ascribe partial responsibility for decisions to them, as a new study shows. Future AI-based systems may navigate autonomous vehicles through...
by Lynn | Apr 2, 2023 | AI, Ethics, Information Quality
Reports and Proceedings Georgia Institute of Technology image: Kantwon Rogers (right), a Ph.D. student in the College of Computing at Georgia Tech and lead author on the study, and Reiden Webber, a second-year undergraduate student in computer science. view...
by Lynn | Apr 14, 2022 | Employee Relations, Health, HR, Information Quality
Employees only engage in presenteeism, working when sick, when they have not met their daily work goals Peer-Reviewed Publication Trinity College Dublin Employees who are unwell only engage in presenteeism when they have not met their daily work goals, according to...
by Lynn | Feb 21, 2022 | AI, Information Quality
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report. Peer-Reviewed Publication Massachusetts Institute of Technology Artificial intelligence systems may be able to complete tasks quickly,...
