A Handy Way to Think About Machine Learning
A (relatively) simple explanation of machine learning.
The Nature of Sensors
As sensors and machine learning fuse, they form a critical layer in the synthesis of machine and human intelligence.
Artificial Intelligence as a Force for Good
Stanford Social Innovation Review article on mission-driven artificial intelligence aimed at solving societal and ecological challenges.
Technology Ecology: Connections that Sculpt Our World
Technology ecology focuses on technology’s relationships with other technologies, with people, with organizations and with the planet.
What do Automation and AI Hold for the Future of Stakeholder Engagement?
Engagement is what enables organizations to coordinate external contributions of work and intelligence. It’s also the future of the human-machine relationship.
Artificially Intelligent Design
A new, artificially intelligent design is emerging from the depths of machine learning, and as it does, Nature finds a new medium for expression.
The Fall of Google+
The disastrous Google+ shutdown vividly demonstrates the risks of trusting our creations and relationships to big corporations.
Community-Driven “Impact Markets”
The collective buying power of Decentralized Autonomous Communities will create a new breed of values-aligned markets, called “impact markets.”
Technology and the Distribution of Wealth
Technology plays two critical roles in the distribution of wealth, cutting jobs and income from below, while concentrating profits for investors from above.