Tag: ai-economics (9 references)
Cybernetics
Cybernetics is the transdisciplinary study of circular causal processes such as feedback and recursion, where the effects of a system's actions (its outputs) return as inputs to that system, influencing subsequent action. It is concerned with general principles that are relevant across multiple contexts, including in engineering, ecological, economic, biological, cognitive and social systems and also in practical activities such as designing, learning, and managing. Cybernetics' transdisciplinary character has meant that it intersects with a number of other fields, leading to it having both wide influence and diverse interpretations. The field is named after an example of circular causal feedback—that of steering a ship (the ancient Greek κυβερνήτης (kybernḗtēs) refers to the person who steers a ship). In steering a ship, the position of the rudder is adjusted in continual response to the effect it is observed as having, forming a feedback loop through which a steady course can be maintained in a changing environment, responding to disturbances from cross winds and tide. Cybernetics has its origins in exchanges between numerous disciplines during the 1940s. Initial developments were consolidated through meetings such as the Macy Conferences and the Ratio Club. Early focuses included purposeful behaviour, neural networks, heterarchy, information theory, and self-organising systems. As cybernetics developed, it became broader in scope to include work in design, family therapy, management and organisation, pedagogy, sociology, the creative arts and the counterculture.
Canada as a Champion for Public AI: Data, Compute and Open Source Infrastructure for Economic Growth and Inclusive Innovation
GPTs are GPTs: Labor Market Impact Potential of LLMs
Push and Pull: A Framework for Measuring Attentional Agency
Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity| Winners of the 2024 Nobel Prize for Economics
What are you optimizing for? Aligning Recommender Systems with Human Values
The Economics of Maps
"Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies
Simulates data strikes against recommender systems, showing that collective withholding of training data can create leverage for users against technology platforms.