Machine intelligence will teach us to expand our understanding of intelligence.

Technology plays two critical roles in the distribution of wealth, cutting jobs and income from below, while concentrating profits for investors from above.

A (relatively) simple explanation of machine learning.

The seeds of our primary interface with machine intelligence rest in the humble origins of the vending machine. Here is the brief story of this evolution of self-service.

Organizations create intrinsic value by building meaning for customers and employees.

How the stock market extracts value from corporations and fuels the concentration of wealth.

It’s easy to argue about fairness – because our society operates with two very different definitions of the word.

Social impact strategy aligns societal and business objectives, creating enormous brand value in the process.

Regenerative business creates strategies designed around stakeholders and social impact – and they are the future of business.

As sensors and machine learning fuse, they form a critical layer in the synthesis of machine and human intelligence.

A look at the relationship between knowledge and artificial intelligence in an era when machines may soon break our monopoly on knowing.

The disastrous Google+ shutdown vividly demonstrates the risks of trusting our creations and relationships to big corporations.

A merger between humans and machines is coming, and it’s not what you might think.

The key to creating value in your business is to be of service.

YES! Magazine article on technological unemployment, who ‘owns the robots’ — and “platform cooperatives.

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