151. Artificial intelligence: Europe needs to start dreaming again
- Author:
- Niccolò Bianchini and Lorenzo Ancona
- Publication Date:
- 11-2023
- Content Type:
- Working Paper
- Institution:
- Robert Schuman Foundation (RSF)
- Abstract:
- To date, there is no universally accepted definition of artificial intelligence (AI). However, a number of definitions do capture the fundamental aspects, such as the one updated by the OECD, from an earlier version in 2019, which will probably be integrated into the law on artificial intelligence now under discussion in the European Union. This definition stipulates: “An AI system is one that is based on a machine which, for explicit or implicit purposes, deduces, from the inputs it receives, how to generate outputs such as predictions, content, recommendations or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptability once deployed”. This draws a broad perimeter, which is useful for framing the largest number of existing AI technologies and, although it does not consider the human component, it clarifies the operation of AI technologies as statistical inference systems which, from the processing of inputs, generate different types of output. But this definition ignores other essential elements of artificial intelligence. As immediate as it is provocative, it must be made clear that AI is neither intelligent nor artificial. As Kate Crawford, co-founder of the University of New York’s AI Now Institute, artificial intelligence is not a synthetic product but “comprises natural resources, fuels, human labour, data, infrastructure and classifications”, which illustrate the extent to which economic, political and technical dynamics are central. As far as intelligence is concerned, Luciano Floridi, founder of the Digital Ethics Center of Yale University, speaks of “artefacts with the ability to act without being intelligent”, i.e. to carry out tasks without having any autonomous consciousness, but solely thanks to computing power and statistical inferences. These details are not mere philosophical flights of fancy, but the premises of a conscious reflection on the subject. While the general public discovered AI with ChatGPT a year ago, it is worth pointing out that generative AI, which forms its base, is just one of the different types of AI, and that various AI applications were already present in our daily lives. These include the algorithms in social networks used to recommend content, predictive analysis for finance or programmes for diagnosing and personalising therapies in medicine. Once these doubts have been dispelled, some of the considerations raised so far can be assessed. The transformative nature of this technology is clear : AI has the potential to revolutionise different areas of human experience and, more profoundly, to change reality and the very role of human beings within it[1]. Among the various fields of application, the world of work is under particular scrutiny, with several analyses which forecast major business changes and a significant impact on productivity. The challenge of AI has recently been taken up by the international community, notably at the regulatory level. Great effort is being made to ensure future-proof legislative action, given the extremely rapid evolution of AI technologies, in particular the rise of fundamental models. Although a number of recent initiatives, such as the Executive Order issued by American President Biden, the summit on AI security at Bletchley Park, the G7’s Code of Conduct and the world AI governance initiative launched by China, reflect the growing awareness of this issue, the European Union is proving to be a forerunner in regulating this technology with the law on AI. This is why, according to Anu Bradford, a theoretician behind the Brussels Effect “it is reasonable to expect that the European regulatory role will continue. What's more, the European Union is influencing other players in this field: the United States is steadily moving towards the European model, abandoning one that is purely libertarian”[2]. Beyond this, the industrial development of AI technologies has been underway for some time, and is shaping up to be a new arena of fierce confrontation between global players. Indeed, it is likely that the market-led US model, the state-led Chinese model and the rights-led European model will clash not only in a global regulatory challenge, but also in terms of technological development.
- Topic:
- Development, Science and Technology, Regulation, and Artificial Intelligence
- Political Geography:
- Europe