machinery
Cultural systems
The Oxford Handbook of Cultural Evolution, red. Jamshid J. Tehrani et al. Abstract Many cultural phenomena cannot be understood by studying traits in isolation. Instead, they are embedded in webs of rel
The Future of Human-Machine Cooperation in the Workplace
How will Ai impact the development of human potential? According to several prominent thinkers that have discussed the future of work and automation, there are two main scenarios for how the developmen
Ethical machine decisions and the input-selection problem
Synthese 199 Abstract This article is about the role of factual uncertainty for moral decision-making as it concerns the ethics of machine decision-making (i.e., decisions by AI systems, such as autonomo

Implicit Mind: De-Freuding Implicit Attitudes with Edouard Machery
Recording from "The Implicit Mind Workshop" in May 2015, held at the Institute for Futures Studies in Stockholm.

Machine learning and social science with Måns Magnusson
Presentation from the workshop "AI and autonomous decision making" at the Institute for Futures Studies in Stockholm, October 2017.

Machine learning, norms and data collection with Pontus Strimling
Presentation from the workshop "AI and automated decision making" at the Institute for Futures Studies in Stockholm, October 2017.
The Future of Work: Augmentation or Stunting?
Philosophy & Technology 36 Abstract The last decade has seen significant improvements in artificial intelligence (AI) technologies, including robotics, machine vision, speech recognition, and text ge
The impact of AI on the future of work
There is no denying that Artificial Intelligence (AI) will change the world of work. In the report "The Future of Work: Augmentation or Stunting?" philosopher Karim Jebari and Markus Furendal, a polit
The intelligence explosion revisited
Foresight, doi.org/10.1108/FS-04-2018-0042 Abstract PurposeThe claim that super intelligent machines constitute a major existential risk was recently defended in Nick Bostrom’s book Superintelligence and

Olle Häggström: Large Language Models, AI Risk and AI Alignment
Research seminar with Olle Häggström, a professor of mathematical statistics at Chalmers University of Technology, an affiliated researcher at the Institute for Futures Studies, and a member of the Ro