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Vol. 22, No. 4, 2023
 
     
 
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myths and misses
AI = ARTIFICIAL INTELLIGENCE


by
SANTIAGO ZABALA

___________________________________

Santiago Zabala is ICREA Research Professor of Philosophy at the University of Barcelona. His books include The Hermeneutic Nature of Analytic Philosophy (2008), The Remains of Being (2009) and Hermeneutic Communism (2011, coauthored with G. Vattimo), all published by Columbia University Press. His most recent book is Why Only Art Can Save Us. (2017)

 

WHAT IS THE POLITICAL AGENDA OF AI?

“The hand mill gives you society with the feudal lord; the steam mill society with the industrial capitalist,” Karl Marx once said. And he was right. We have seen over and over again throughout history how technological inventions determine the dominant mode of production and with it the type of political authority present in a society.

So what will artificial intelligence give us? Who will capitalize on this new technology, which is not only becoming a dominant productive force in our societies (just like the hand mill and the steam mill once were) but, as we keep reading in the news, also appears to be fast escaping our control?

Could AI take on a life of its own, like so many seem to believe it will, and single-handedly decide the course of our history? Or will it end up as yet another technological invention that serves a particular agenda and benefits a certain subset of humans?

Recently, examples of hyperrealistic, AI-generated content, such as an “interview” with former Formula One world champion Michael Schumacher, who has not been able to talk to the press since a devastating ski accident in 2013; photographs showing former President Donald Trump being arrested in New York; and seemingly authentic student essays ‘written’ by OpenAI’s famous chatbot ChatGPT have raised serious concerns among intellectuals, politicians and academics about the dangers this new technology may pose to our societies.

In March, such concerns led Apple co-founder Steve Wozniak, AI heavyweight Yoshua Bengio and Tesla/Twitter CEO Elon Musk among many others to sign an open letter accusing AI labs of being “locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control” and calling on AI developers to pause their work. More recently, Geoffrey Hinton – known as one of the three “godfathers of AI” quit Google “to speak freely about the dangers of AI” and said he, at least in part, regrets his contributions to the field.

We accept that AI – like all era-defining technology – comes with considerable downsides and dangers, but contrary to Wozniak, Bengio, Hinton and others, we do not believe that it could determine the course of history on its own, without any input or guidance from humanity. We do not share such concerns because we know that, just like it is the case with all our other technological devices and systems, our political, social and cultural agendas are also built into AI technologies. As philosopher Donna Haraway explained, “Technology is not neutral. We’re inside of what we make, and it’s inside of us.”

Before we further explain why we are not scared of a so-called AI takeover, we must define and explain what AI – as what we are dealing with now – actually is. This is a challenging task, not only because of the complexity of the product at hand but also because of the media’s mythologization of AI.

What is being insistently communicated to the public today is that the conscious machine is (almost) here, that our everyday world will soon resemble the ones depicted in movies like 2001: A Space Odyssey, Blade Runner and The Matrix.

This is a false narrative. While we are undoubtedly building ever more capable computers and calculators, there is no indication that we have created – or are anywhere close to creating – a digital mind that can actually ‘think.’

Noam Chomsky recently argued (alongside Ian Roberts and Jeffrey Watumull) in a New York Times article that “we know from the science of linguistics and the philosophy of knowledge that [machine learning programmes like ChatGPT] differ profoundly from how humans reason and use language.” Despite its amazingly convincing answers to a variety of questions from humans, ChatGPT is “a lumbering statistical engine for pattern matching, gorging on hundreds of terabytes of data and extrapolating the most likely conversational response or most probable answer to a scientific question.” Mimicking German philosopher Martin Heidegger (and risking reigniting the age-old battle between continental and analytical philosophers), we might say, “AI doesn’t think. It simply calculates.”

 

 

 

 

 

 

 

 

 

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