In AI We Trust. Helga Nowotny

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of our spatial habitat, and face multiple challenges when it comes to using the available resources in a sustainable manner. These range from managing the transition to clean energy, to maintaining biodiversity and making cities more liveable, to drastically curbing plastic pollution and managing the increasing amount of waste. No wonder there is a growing concern that the control we can exert will be further diminished. The machines we have created are expected to take over many jobs currently performed by humans, but our capacity for control will shrink even further because these machines will monitor and limit our actions and possibilities. For these reasons much wisdom will be needed to better understand how AI affects and limits human agency.

      My regular visits to Singapore provided a different angle on how societies might embrace digitalization, and a unique opportunity to observe a digitally and economically advanced country in action. I gathered insights into Singapore’s much-vaunted educational system, and observed the reliance of the bureaucracy on digital technologies but also its high standards of efficiency and maintenance of equally high levels of trust in government. What impressed me most, however, was the country’s delicate and always precarious balance between a widely shared sense of its vulnerability – small, without natural resources and surrounded by large and powerful neighbours – and the equally widely shared determination to be well prepared for the future. Here was a country that perceived itself as still being a young nation, drawing much of its energy from the remarkable economic wealth and social well-being it has achieved. This energy now had to be channelled into a future it was determined to shape. Nowhere else did I encounter so many debates, workshops, reports and policy measures focused on a future that, despite remaining uncertain, was to be deliberated and carefully planned for, taking in the many contingencies that would arise. Obviously, it would be a digital future. The necessary digital skills were to be cultivated and all available digital tools put to practical use.

      Other meetings in which I participated had the explicit aim of involving the general public in a discussion about the future of AI, such as the Nobel Week Dialogue 2015 in Gothenburg, or the Falling Walls Circle in Berlin in 2018. There were also visits to IT and robotics labs and workshops tasked with setting up various kinds of digital strategies. I gained much from ongoing discussions with colleagues at the Vienna Complexity Science Hub and members of their international network, allowing me glimpses into complexity science. By chance, I stumbled into an eye-opening conference on digital humanism, a trend that is gradually expanding to become a movement.

      Scattered and inconclusive as these conversations mostly were, they nevertheless projected the image of a dynamic field rapidly moving forward. The main protagonists were eager to portray their work as incorporating their responsibility of moving towards a ‘beneficial AI’ or similar initiatives. There was a notable impatience to demonstrate that AI researchers and promoters were aware of the risks involved, but the line between sincere concern and the insincere attempts of large corporations to claim ‘ethics ownership’ was often blurred as well. Human intelligence might indeed one day be outwitted by AI, but the discussants seldom dwelt on the difference between the two. Instead, they offered reassurances that the risks could be managed. Occasionally, the topic of human stupidity and the role played by ignorance were touched upon as well. And at times, a fascination with the ‘sweetness of technology’ shimmered through, similar to that J. Robert Oppenheimer described when he spoke about his infatuation with the atomic bomb.

      A haiku is said to be about capturing a fleeting moment, a transient impression or an ephemeral sensation. My impressions were obviously connected to the theme of the conference, the future of AI. ‘Future needs wisdom’ – the phrase stuck with me. Which future was I so concerned about? Would it be dominated by predictive algorithms? And if so, how would this change human behaviour and our institutions? What could I do to bring some wisdom into the future? What I have learned on my journey in digi-land is to listen carefully to the dissonances and overtones and to plumb the nuances and halftones; to spot the ambiguities and ambivalences in our approaches to the problems we face, and to hone the ability to glide between our selective memories of the past, a present that overwhelms us and a future that remains uncertain, but open.

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