The Overdue Debate

The Overdue Debate

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DEFGH Nr. 63, Freitag, 15. März 2019. 

Collage: Stefan Dimitrov

The Ghost in the Machine
Artificial intelligence inspires wild fantasies, but remains hard to imagine. A SZ series creates clarity. 




Artificial intelligence:
A new series brings science and culture together to fathom the inexplicable


The Overdue Debate 
By Andrian Kreye
Friday, March 15, 2019

Technology in turbo gear: Humanities and Natural Sciences must finally be united to talk about artificial intelligence.
Artificial intelligence, or AI for short, is a subject in which the imagination switches to turbo speed. From the medieval myth of the golem to Stanley Kubrick's "2001: Odyssey in Space" to Frank Schätzing's bestseller "The Tyranny of the Butterfly", literature and film have long been concerned with what would happen if machines could develop consciousness and free will. But even if they never will, the possibilities of this technology exceed even the imagination of scientists.
As AI enters a new phase with the latest advances in digital technology, there is a growing demand that the natural sciences and the humanities join forces to think about the impact on society and people of machines that can learn and make decisions on their own.


The Spirit In The Machine
What does artificial intelligence mean?
A series of essays seeks answers.
Part 1


John Brockman has long called for, and practiced, the unification of the natural sciences and humanities into what he has called “the third culture”. He is the founder of the debate forum, where scientists, writers and artists work together to ask the great questions of the present. Since 1981, his "Reality Club" has held gatherings in New York, San Francisco or London in pubs, lofts, museums and living rooms. In 1996, he migrated  the debate to on the web, which led to his Edge dinners.

Because he has a full-time career as a literary agent for science authors, as well as being the first to negotiate major deals for books by bestselling  academics such as Daniel Kahneman, Richard Dawkins or Lisa Randall, his roundtable was always already very prominently cast.

One can imagine the 78-year-old today as a mixture of King Arthur and Dorothy Parker. On the one hand, he often recognizes powerful talents earlier than others, which led to the fact that he had the Google founders Sergey Brin and Larry Page, Amazon boss Jeff Bezos or the boy-wonder of Facebook as guests at his dinner parties even when they were still precocious start-up entrepreneurs. On the other hand, he has the humor and charm to keep you on your toes at such events, whether in the back room of a restaurant, at workshop weekends on his farm near New York, or on his web pages.

So it was a rare “must” in the social life of Harvard University when he recently invited a large group to an evening event in Cambridge at the Brattle Theatre, followed by a dinner at the Charles Hotel to continue the debate on artificial intelligence, which he had presented as a "Possible Minds" project last fall. Many of those who attended are celebrated as stars in scientific circles—such as the cognition researcher Steven Pinker, the robot ethicist Kate Darling, the science philosopher Max Tegmark and as an eminence price, the writer and anthropologist Mary Catherine Bateson.

In the theater they delivered 5-minute Lightning talks (lectures), presenting a picture of the state of things as wide-ranging as anything currently running in the A.I. debate.

Mary Catherine Bateson began the evening with a call for the need to revive the almost forgotten science of systems theory in light of the complex networks of AI. The developmental psychologist Alison Gopnik asked that we remember that while four-year-olds are mentally immature, they’re fitter than any AI. Max Tegmark compared A.I. to a missile that requires precise control by humans.  

And Stephen Wolfram was enthusiastic about the almost unlimited possibilities still beyond our understanding.


John Brockman’s
Dinners are Today’s

As a non-academic guest of the following dinner I realized how deeply connected the various disciplines of the humanities and sciences already are in places like Cambridge, MA. It felt like being at a great reunion, hugs and gossip included. John Brockman ruled the room like a social alchemist, taking some from the numerous groups adding them to another to spark new conversations. One could learn about the latest breakthroughs in science or about how projects like AI enhanced democratic processes neutralizing lobbyists and empowering voters, or get a sense of greater trends like programmable cells (which might have an even greater impact on history than AI, especially if you talk to a biologist).

John Brockman's most recent roundtables in artificial intelligence has resulted in an essay collection. Authors and scientists such as the geneticist George Church, Alison Gopnik, the art historian Caroline Jones, Steven Pinker and the Nobel laureate and president of the Royal Society Venki Ramakrishnan have joined the debate about artificial intelligence. The Süddeutsche Zeitung will make the essays available to the public in the coming weeks, publishing them in the Feuilleton.

We will also invite, and publish in our pages, the first reactions of German and European intellectuals, cultural figures, and natural scientists. This will be the beginning of a debate the end of which is not in sight.’

Andrian Kreye is the Feuilleton Editor of Süddeutsche Zeitung. © Süddeutsche Zeitung GmbH, Munich. Courtesy of Süddeutsche Zeitung Content.

Journalist Andrian Kreye (Süddeutsche Zeitung) wins Theodor Wolff Prize in "Topic of the Year" Category for Artificial Intelligence Series

June 26, 2019

Photo: BDZV/Anikka Bauer

The Spirit of Unlimited Possibilities

Of cybernetics, man and man machine—a brief history of thinking about artificial intelligence. By John Brockman
Artificial intelligence is the big theme of our days, the story behind all the other stories. It is the return of the Messiah and the Apocalypse in one: Good AI versus evil AI.
Over the years, it has always been important to me to keep in touch with the key figures in this field of research, with the scientists and all the other thought leaders who have advanced the developmental steps of AI. But it all started much earlier than the current debate. Because Before AI, there was cybernetics—the idea of automatic, self-regulating control, laid out in Norbert Wiener’s foundational text of 1948.
In 1965, the composer John Cage invited me and other artists to a series of dinners. At the time I was the program manager of Filmmakers’ Cinematheque, where I produced the Expanded Cinema Festival featuring people like Nam June Paik, Robert Rauschenberg, Carolee Schneemann, and Andy Warhol.

Cage's dinner parties were an ongoing seminar on media, communication, art, music and philosophy, driven by Cage's interest in the ideas of Wiener, Claude Shannon and Marshall McLuhan. Cage was particularly fascinated by McLuhan's idea that with the invention of electronic technologies we had externalized our central nervous system, that is, our mind, and that we had to assume that "there is only one mind that we all share. Such ideas were increasingly circulating among artists and intellectuals at the time. Many of these people were reading Wiener, and cybernetics was in the air. During one of those dinners, Cage reached into his briefcase and pulled out a copy Wiener's Cybernetics and handed it to me with the words: “This is for you." That was a key moment for everything I've done in the last 53 years.

During the festival, I received an unexpected phone call from Wiener’s colleague Arthur K. Solomon, head of Harvard’s Biophysics Department. Wiener had died the year before, and Solomon’s and Wiener’s other close colleagues at MIT and Harvard had been reading about the Expanded Cinema Festival in the New York Times and were intrigued by the connection to Wiener’s work. Solomon invited me to bring some of the artists up to Cambridge to meet with him and a group that included MIT sensory communications researcher Walter Rosenblith, Harvard applied mathematician Anthony Oettinger, and MIT engineer Harold “Doc” Edgerton, inventor of the strobe light.

New Technologies = New Perceptions

Like many other “art meets science” situations I’ve been involved in since, the two-day event was an informed failure: ships passing in the night. But I took it all on board and the event was consequential in some interesting ways—one of which came from the fact that they took us to see “the” computer. Computers were a rarity back then; at least none of us on the visit had ever seen one. We were ushered into a large space on the MIT campus, in the middle of which there was a “cold room” raised off the floor and enclosed in glass, in which technicians wearing white lab coats, scarves, and gloves were busy collating punch cards coming through an enormous machine. When I approached, the steam from my breath fogged up the window into the cold room. Wiping it off, I saw “the” computer. I fell in love.

I began to develop a theme, a mantra of sorts, that has informed my endeavors since: “new technologies = new perceptions.” Inspired by communications theorist Marshall McLuhan, architect-designer Buckminster Fuller, futurist John McHale, and cultural anthropologists Edward T. “Ned” Hall and Edmund Carpenter, I started reading avidly in the fields of information theory, cybernetics, and systems theory. McLuhan himself suggested I read Warren Weaver and Claude Shannon’s 1949 paper “Recent Contributions to the Mathematical Theory of Communication,” which begins: “The word communication will be used here in a very broad sense to include all of the procedures by which one mind may affect another. This, of course, involves not only written and oral speech, but also music, the pictorial arts, the theater, the ballet, and in fact all human behavior.”

Reality is a man-made process. The images we make of ourselves and our world are in part models rooted in the knowledge of the technologies we create. Although many of us weren't ready yet, after only a few years we looked at our brain as a computer. And when we connected computers to the Internet, we realized that our brain is not a computer, but a network of computers.

Basic text of the digital debate: Norbert Wiener's Cybernetics of 1948. Photo: SZ

Two years after Cybernetics, in 1950, Norbert Wiener published The Human Use of Human Beings—a deeper story, in which he expressed his concerns about the runaway commercial exploitation and other unforeseen consequences of the new technologies of control. I didn’t read The Human Use of Human Beings until the spring of 2016, when I picked up my copy, a first edition, which was sitting in my library next to Cybernetics. What shocked me was the realization of just how prescient Wiener was in 1950 about what’s going on today. Although the first edition was a major bestseller—and, indeed, jump-started an important conversation—under pressure from his peers Wiener brought out a revised and milder edition in 1954, from which the original concluding chapter, “Voices of Rigidity,” is conspicuously absent.

Science historian George Dyson points out that in this long-forgotten first edition, Wiener predicted the possibility of a “threatening new Fascism dependent on the machine à gouverner”:

No elite escaped his criticism, from the Marxists and the Jesuits (“all of Catholicism is indeed essentially a totalitarian religion”) to the FBI (“our great merchant princes have looked upon the propaganda technique of the Russians, and have found that it is good”) and the financiers lending their support “to make American capitalism and the fifth freedom of the businessman supreme throughout the world.” Scientists. . . received the same scrutiny given the Church: “Indeed, the heads of great laboratories are very much like Bishops, with their association with the powerful in all walks of life, and the dangers they incur of the carnal sins of pride and of lust for power.”

This jeremiad did not go well for Wiener. As Dyson puts it:

These alarms were discounted at the time, not because Wiener was wrong about digital computing but because larger threats were looming as he completed his manuscript in the fall of 1949. Wiener had nothing against digital computing but was strongly opposed to nuclear weapons and refused to join those who were building digital computers to move forward on the thousand-times-more-powerful hydrogen bomb.

Since the original of The Human Use of Human Beings is now out of print, lost to us is Wiener’s cri de coeur, more relevant today than when he wrote it sixty-eight years ago: “We must cease to kiss the whip that lashes us.”

It Is Time to Challenge the Prevailing Digital AI Narrative

Among the reasons we don’t hear much about cybernetics today, two are central: First, although The Human Use of Human Beings was considered an important book in its time, it ran counter to the aspirations of many of Wiener’s colleagues, including John von Neumann and Claude Shannon, who were interested in the commercialization of the new technologies. Second, computer pioneer John McCarthy disliked Wiener and refused to use Wiener’s term “Cybernetics.” McCarthy, in turn, coined the term “artificial intelligence” and became a founding father of that field.

Cybernetics, rather than disappearing, was becoming metabolized into everything, so we no longer saw it as a separate, distinct new discipline. And there it remains, hiding in plain sight.

Now AI is everywhere. We have the Internet. We have our smartphones. The founders of the dominant companies— the companies that hold “the whip that lashes us”— have net worths of $65 billion, $90 billion, $150 billion. High- profile individuals such as Elon Musk, Nick Bostrom, Martin Rees, Eliezer Yudkowsky, and the late Stephen Hawking have issued dire warnings about AI, resulting in the ascendancy of well-funded institutes tasked with promoting “Nice AI.” But will we, as a species, be able to control a fully realized, unsupervised, self-improving AI? Wiener’s warnings and admonitions in The Human Use of Human Beings are now very real, and they need to be looked at anew by researchers at the forefront of the AI revolution.

Here is Dyson again:

Wiener became increasingly disenchanted with the “gadget worshipers” whose corporate selfishness brought “motives to automatization that go beyond a legitimate curiosity and are sinful in themselves.” He knew the danger was not machines becoming more like humans but humans being treated like machines. “The world of the future will be an ever more demanding struggle against the limitations of our intelligence,” he warned in God & Golem, Inc., published in 1964, the year of his death, “not a comfortable hammock in which we can lie down to be waited upon by our robot slaves.”

Thus, it’s time to present the ideas of a community of sophisticated thinkers who are bringing their experience and erudition to bear in challenging the prevailing digital AI narrative as they communicate their thoughts to one another. The aim is to present a mosaic of views that will help make sense out of this rapidly emerging field.

Similar to the fable of  the blind man and the elephant, AI is far too big a subject to be viewed from a single angle. The "Possible Minds Project," from which the essays in this series emerged, and are also published as CT, where some of the authors of these essays were also present.

Since then, I have hosted a series of dinners and discussions in New York, London, Cambridge, and the Serpentine Marathon on Artificial Intelligence, and major public events at London City Hall, The Brattle Theatre in Cambridge, The LongNow at SF Jazz, and Pioneer Works, in Brooklyn. Among the guests were natural scientists and humanists, communication theorists, science historians, philosophers and artists, all of whom have thought very seriously about artificial intelligence throughout their professional lives. It’s time to examine the evolving AI narrative by identifying the leading members of that mainstream community along with the dissidents and presenting their counter-narratives in their own voices.

The essays that follow thus constitute a much-needed update from the field.

[Adapted from Introduction, Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

A Question of Faith
By George Dyson
Monday, September 23, 2019

The step where the machines themselves take control may be different from what many people think: not in digital computers, but in analog ones.
[Adapted from Chapter 4 - "The Third Law" by George Dyson, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

A Dream of Objectivity
By Peter Galison
Saturday, August 10, 2019

Do algorithms bring research and justice closer to the truth? Even more: Do their prognostic abilities exceed those of humans? No. Even today, knowledge and progress in science are not possible without subjectivity and experience.
[Adapted from Chapter 22 - "Algorists Dream of Objectivity" by Peter Galison, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

Once Again With Feeling
By Alex "Sandy" Pentland
Wednesday, July 24, 2019

Human society and artificial intelligence will cooperate more and more in the future. For this to work, however, the fundamentals of data processing must become more humane.
[Adapted from Chapter 19 - "The Human Strategy" by Alex "Sandy" Pentland, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

Will Computers Be Our Rulers?
By Venki Ramakrishnan
Tuesday, July 16, 2019

The loss of human control has long since begun. Machines make us do things. They cost us jobs. And we understand them less and less.
[Adapted from Chapter 18 - "Will Computers Become Our Overlords?" by Venki Ramakrishnan, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

The Circle is Closing
By Neil Gershenfeld
Tuesday, June 4, 2019

The current mania about artificial intelligence is only one phase that is likely to be followed by the fusion of artificial and natural intelligence. 
[Adapted from Chapter 16 - "Scaling" by Neil Gershenfeld, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

Borders of Obscure Learning
By Judea Pearl
Wednesday, May 15, 2019

Scientists are developing artificial intelligence that they no longer understand themselves. Nevertheless, this usually leads to correct results. And finally, people also understand their own brain. But in machine learning it leads into a trap.
[Adapted from Chapter 2 - "The Limitations of Opaque Learning Machines" by Judea Pearl, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

Unpredictable Human
By Anca Dragan
Tuesday, April 23, 2019

The more powerful an artificial intelligence is, the more difficult it becomes to program it to deal with its environment. Because reality works not by clear rules. This can have catastrophic consequences. 
[Adapted from Chapter 13 - "Putting the Human Into the AI Equation" by Anca Dragan, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

Meat and Blood Machines
By W. Daniel Hillis
Wednesday, April 10, 2019

Hybrid superintelligence such as nation states and corporations often act as independent intelligent beings. Their actions are not always in line with the interests of the people. 
[Adapted from Chapter 17 - "The First Machine Intelligences" by W. Daniel Hillis, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

Beings and Tools 
By Daniel C. Dennett
Monday, April 1, 2019

With artificial intelligence, man creates a means that rearranges the world. That forces him to act, otherwise he loses control.
[Adapted from Chapter 5 - "What Can We Do?" by Daniel C. Dennett, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

The Wisdom of Children
By Alison Gopnik
Tuesday, March 26, 2019

If one compares the learning of artificial intelligence with the methods with which four-year-olds learn, one realizes that children are far better off.

[Adapted from Chapter 21 - "AIs Versus Four-Year-Olds" by Alison Gopnik, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]

Collage: Stefan Dimitrov

What Is Intelligence Anyway?
By Steven Pinker
Wednesday, March 20, 2019

Do not be afraid of almighty machines or why most of the future scenarios for AI completely miss reality. A guest post by cognitive researcher Steven Pinker.
[Adapted from Chapter 10 - "Tech Prophecy and the Underappreciated Causal Power of Ideas" by Steven Pinker, from Possible Minds: 25 of Looking at AI, edited by John Brockman (Penguin Press, 2019)]