Zakaria also made some remarks about the rise of artificial intelligence and what that will mean for our way of life, and I would like to spend a few moments digesting what he said before returning to this open/closed divide.
As Zakaria explained, the way humans study the natural sciences is relatively new. For most of our history, we understood the forces that govern nature through the lens of superstition or religion. The sun rising, the sun setting, the seasons, the motion of stars and planets: these were associated with the will of a deity or collection of deities. Humans understood patterns, of course, but variations (e.g., a poor harvest) were thought to be due to the whims of the gods, and religions were developed to placate these gods through ritual and sacrifice. The actual mechanisms governing the world were thought to be locked away inside what Zakaria described as a proverbial black box.
During the Scientific Revolution and the Enlightenment, thinkers argued that humans could use reason and scientific inquiry to better understand the natural world. As Immanuel Kant wrote, the spirit of the Enlightenment was defined by the motto “dare to know!” (sapere aude). Kant’s exhortation came relatively late in the game, as the first glimmers of the Enlightenment can be traced back to people like Copernicus (1473–1543), Bacon (1561–1626), Galileo (1564–1642), Kepler (1571–1630), Descartes (1596–1650), Boyle (1627–1691), and Newton (1643–1727).
The spirit of the Enlightenment may have begun among a small group of thinkers, but it was spread via rising literacy rates and the expansion of public education. It also dramatically changed the world as scientific advances (and scientific literacy) were followed by technological advances in everything from communications to materials science. These advances were proof that humans could dismantle the black box and use their own faculties for scientific reasoning to uncover the laws of nature. Through the lens of human reason, many of the mysteries of the world became clear.
However, with the creation of artificial intelligence, particularly the kind of intelligence that may prove better at understanding the nature of the universe than we could ever hope to, Zakaria noted that we may in turn produce a new black box. If this kind of AI is not just faster than us but understands the natural world on a level we cannot, then we will cease to be the analytic agent at the heart of scientific and technological advancement. For Zakaria, this has immediate effects on many knowledge workers, as AI will may prove to be better at diagnosing illnesses than doctors, analyzing law better than lawyers, and creating complex machinery better than engineers.
Somehow Zakaria managed to find a silver lining here—or, in his phrasing, a crack where the light can shine through. He believes that our real defining faculty has less to do with scientific inquiry and more to do with compassion and empathy. AI may soon be better at diagnosing a patient, Zakaria said, but walking that patient through their prognosis and treatment options will always be handled better by a human.
That sounds nice, but…what about an engineering team? Will they be tasked with walking a client through AI-generated design details? Will the architect’s role become almost entirely artistic because AI will handle the technical challenges? Will the warmth and compassion of a structural engineer keep them employed? More crucially, if AI does all the work that an entry-level person would normally do, how is anyone supposed to get their foot in the door?