Questões de Concurso

     There is nothing new about the concept and creation of ‘artificial intelligence art’ or ‘generative art’. However, discussion of its legal and ethical or societal implications (both intended and unintended) hit the headlines last week.

     Boris Eldagsen refused his Sony World Photography Award 2023 prize in the creative open category on the basis that his entry was the product of artificial intelligence. Mr Eldagsen himself has sparked the latest debate by claiming that “AI is not photography” and that the rationale for entering the Awards with the work in question was “…to find out if the competitions are prepared for AI images to enter. They are not”.

     The reaction of the World Photography Organisation (running the Sony Awards) has been to acknowledge the need for an element of human involvement, which is the crux of the debate: “While elements of AI practices are relevant in artistic contexts of image-making, the Awards always have been and will continue to be a platform for championing the excellence and skill of photographers and artists working in this medium”.

     […]

     The conventional (and long assumed) approach has been to recognise the importance of the human hand to an artwork. The question then is: to what extent is the human creator or inputter the ‘artist’ as opposed to the generative system or is the system merely representing the human creator or inputter’s artistic idea? Flowing from that question is what that might then mean in terms of the ownership and value of such works. The debate looks set to continue in this particular context of imagery creation and reproduction coinciding with the increasing availability and use of consumer-grade AI image generation programmes, and the natural inclination of artists to continue to create.

Adapted from https://www.rosenblatt-law.co.uk/insight/generative-art-whats-real/

        Modern societies rely upon law as the primary mechanism to control their development and manage their conflicts. Through carefully designed rights and responsibilities, institutions and procedures, law can enable humans to engage in increasingly complex social and economic activities. Therefore, law plays an important role in understanding how societies change. To explore the interplay between law and society, we need to study how both co-evolve over time. This requires a firm quantitative grasp of the changes occurring in both domains. But while quantifying societal change has been the subject of tremendous research efforts in fields such as sociology, economics, or social physics for many years, much less work has been done to quantify legal change. In fact, legal scholars have traditionally regarded the law as hardly quantifiable, and although there is no dearth of empirical legal studies, it is only recently that researchers have begun to apply data science methods to law. To date, there have been relatively few quantitative works that explicitly address legal change, and almost no scholarship exists that analyses the time-evolving outputs of the legislative and executive branches of national governments at scale. Unlocking these data sources for the interdisciplinary scientific community will be crucial for understanding how law and society interact.

            Our work takes a step towards this goal. As a starting point, we hypothesise that an increasingly diverse and interconnected society might create increasingly diverse and interconnected rules. Lawmakers create, modify, and delete legal rules to achieve particular behavioural outcomes, often in an effort to respond to perceived changes in societal needs. While earlier large-scale quantitative work focused on analysing an individual snapshot of laws enacted by national parliaments, collections of snapshots offer a window into the dynamic interaction between law and society. Such collections represent complete, time-evolving populations of statutes at the national level. Hence, no sampling is needed for their analysis, and all changes we observe are direct consequences of legislative activity. This feature makes collections of nation-level statutes particularly suitable for investigating temporal dynamics.

            To preserve the intended multidimensionality of legal document collections and explore how they change over time, legislative corpora should be modelled as dynamic document networks. In particular, since legal documents are carefully organised and interlinked, their structure provides a more direct window into their content and dynamics than their language: Networks honour the deliberate design decisions made by the document authors and circumvent some of the ambiguity problems that natural language-based approaches inherently face. In this paper, we therefore develop an informed data model for legislative corpora, capturing the richness of legislative data for exploration by social physics.

Adapted from Katz, D.M., Coupette, C., Beckedorf, J. et al. Complex societies and the growth of the law. Sci Rep 10, 18737 (2020). Available at https://www.nature.com/articles/s41598-020-73623-x