Highlights

Reading Time: 2 minutes The shift in global intelligence from a purely biological phenomenon to a newly emergent, synthetic intelligence from the realm of knowledge.

Reading Time: 4 minutes A new, artificially intelligent design is emerging from the depths of machine learning, and as it does, Nature finds a new medium for expression.

Reading Time: 1 minute Stanford Social Innovation Review article on mission-driven artificial intelligence aimed at solving societal and ecological challenges.

Reading Time: 1 minute This article originally appeared in YES! Magazine and was then picked up this morning by AlterNet where it is now featured on the homepage. It’s about addressing the threat of technological unemployment (the large-scale loss of jobs to automation) by expanding who ‘owns the robots’ — i.e. who owns the companies that are doing the automating. The focus is on a …

Reading Time: 5 minutes The future of knowledge will be a synthesis of human and machine collaboration, coordinated through organizations, much as today. Any Singularity we may one day experience will, therefore, be shared: the collective destiny of intelligence.

Reading Time: 6 minutes Mission-driven AI is just starting to take off. It represents our best bet for addressing our most challenging ecological and societal problems.

Reading Time: 8 minutes Colony is a blockchain-based solution for building a Decentralized Autonomous Organization, and it just might change the future of work.

Reading Time: 6 minutes By reducing algorithmic bias, data scientists increase the perceptual clarity of organizations and help promote fairness.

Reading Time: 2 minutes As machines become increasingly intelligent, machine governance must expand to something closer to the way we think about the governance of human systems.

Reading Time: 4 minutes Machine intelligence will teach us to expand our understanding of intelligence.