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Getting computers to do our bidding has always been a bit mysterious to those of us not steeped in machine code, operating systems, and programming. We were content, if that is the right word, to muddle through command-line interfaces (CLIs) and then GUIs (graphical user interfaces), the ones with the files and folders metaphor as our means of interacting with digital technologies.

But two things have changed in ways that indicate the need for a broader cadre of leaders to engage with one another. It can’t just be technologists any longer. One is the advent of machine-learning, a set of techniques developed in Artificial Intelligence (AI) that has vastly improved credit card fraud detection, for example. Farmers are now able to use automated farm vehicles to plough and sow using pinpoint-accurate GPS systems.

The second change is the kind of decision-making we are willing to accord, or have accorded, our technologies. Should we allow our technologies to act on those decisions without human engagement? Drones can navigate with amazing accuracy using GPS systems without any human engagement at critical junctures in real-time. Should we let them?

To address issues like these, regulation has often been proposed as a means of controlling action by digital technologies. Regulation, however, is external to the technology itself; regulations operate at some distance from the actual technology and, as we have experienced, take a long time to develop and need copious, possibly unreasonable, amounts of governance.

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