Shaping New Norms for AI

It is likely that 2023 will be remembered as the year of Artificial Intelligence (AI). ChatGPT [2] was the fastest internet service to reach 100million users until now (May 2023) [3] and the technology of Large Language Models (LLMs) at its core is a fundamental element of sister apps for images such as Dall-e2, Midjourney and many others. One of the most fascinating aspects of LLMs is that they exhibit unpredicted emergent features. While the media excitedly reported how AI art generator have developed their own taste [4] or chatbots are able to pass school level exams in a growing number of disciplines [5], only in 2023 it was released that, for the past two years, GPT models had consistently improved its performance in tests designed to measure theory of mind in children [6]. For anyone familiar with complexity science, observing emergent properties in a complex system made of billions of artificial neurons is perhaps not surprising, but the growth in human-, or even superhuman-, like capabilities has attracted huge attention from the media and the public, sparking a hectic debate between the technology apocalyptic and integrated [7]. While it is clear that AI could bring us spectacular benefits, from better medical diagnosing to drug discovering, the risks have so far catalysed most of the public attention. Perils associated to narrow AI include increasing opportunities for manipulation of people, enhancing and dehumanising weapons, and rendering human labour increasingly obsolescent [8]. On the other hand, selfimproving "artificial general intelligence" (AGI) could pose an existential threat to humanity itself.