With the comprehensive application of Artificial Intelligence into the creation and post production of images, it seems questionable if the resulting visualisations can still be considered ‘photographs’ in a classical sense – drawing with light. Automation has been part of the popular strain of photography since its inception, but even the amateurs with only basic knowledge of the craft could understand themselves as author of their images. We state a legitimation crisis for the current usage of the term. This paper is an invitation to consider Synthography as a term for a new genre for image production based on AI, observing the current occurrence and implementation in consumer cameras and post-production.

. Perhaps you see the liberal-arts idyll, removed from the pressures of the broader world and filled with tweedy creatures reading on quadrangle lawns. This is the redoubt of the idealized figure of the English major, sensitive and sweatered, moving from “Pale Fire” to “The Fire Next Time” and scaling the heights of “Ulysses” for the view. The goal of such an education isn’t direct career training but cultivation of the min

Or perhaps you think of the university as the research colony, filled with laboratories and conferences and peer-reviewed papers written for audiences of specialists. This is a place that thumps with the energy of a thousand gophers turning over knowledge. It’s the small-bore university of campus comedy—of “Lucky Jim” and “Who’s Afraid of Virginia Woolf?”—but also the quarry of deconstruction, quantum electrodynamics, and value theory. It produces new knowledge and ways of understanding that wouldn’t have an opportunity to emerge anywhere else.

English professors find the turn particularly baffling now: a moment when, by most appearances, the appetite for public contemplation of language, identity, historiography, and other longtime concerns of the seminar table is at a peak.

“Young people are very, very concerned about the ethics of representation, of cultural interaction—all these kinds of things that, actually, we think about a lot!” Amanda Claybaugh, Harvard’s dean of undergraduate education and an English professor, told me last fall.

In a quantitative society for which optimization—getting the most output from your input—has become a self-evident good, universities prize actions that shift numbers, and pre-professionalism lends itself to traceable change

One literature professor and critic at Harvard—not old or white or male—noticed that it had become more publicly rewarding for students to critique something as “problematic” than to grapple with what the problems might be; they seemed to have found that merely naming concerns had more value, in today’s cultural marketplace, than curiosity about what underlay them

In fact, more people are technologists than ever before, insofar as a “technologist” can be defined as someone inventing, implementing or repurposing technology. In particular, the personal computer has allowed anyone to live in the unbounded wilderness of the internet as they please. Anyone can build highly specific corners of cyberspace and quickly invent digital tools, changing their own and others’ technological realities. “Technologist” is a common identity that many different people occupy, and anyone can occupy. Yet the public perceptions of a “technologist” still constitute a very narrow image.

A technologist makes reason out of the messiness of the world, leverages their understanding to envision a different reality, and builds a pathway to make their vision happen. All three of these endeavors—to try to understand the world, to imagine something different, and to build something that fulfills that vision—are deeply human.

Humans are continually distilling and organizing reality into representations and models—to varying degrees of accuracy and implicitness—that we can understand and navigate. Our intelligence involves making models of all aspects of our realities: models of the climate, models of each other’s minds, models of fluid dynamics.

We are an unprecedentedly self-augmenting species, with a fundamental drive to organize, imagine, construct and exercise our will in the world. And we can measure our technological success on the basis of how much they increase our humanity. What we need is a vision for that humanity, and to enact this vision. What do we, humans, want to become?

As a general public, we can collectively hold technologists to a higher ethical standard, as their work has important human consequences for us all. We must begin to think of them as doing deeply human work, intervening in our present realities and forging our futures. Choosing how best to model the world, impressing their will on it, and us. We must insist that they understand their role as augmenting and modifying humanity, and are responsible for the implications. Collective societal expectations are powerful; if we don’t, they won’t.