Explores the current state of generative AI adoption in enterprises, investment trends, departmental usage, and evolving perceptions, providing insights and recommendations for navigating its early years effectively.
Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds
The paper introduces TAME, a framework for understanding diverse intelligences, emphasizing the continuity of cognitive capacities across various embodied systems and their implications for biology, philosophy, and artificial intelligence.
“Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems