International Regulation and Control of the Production and Use of Chemicals and Pesticides: Perspectives for a Convention

A wide variety of instruments and mechanisms for the regulation and control of chemicals and pesticides is already available internationally. What is missing is an analysis that attempts to systematize the different approaches, to create transparency, to define where they overlap, and to discover prospective deficiencies and shortcomings. In order to accomplish this task, this article covers legally binding rules as well as recommendations and codes - the international soft law. The overall purpose is to outline a framework for future international regulation of chemicals and pesticides and to propose an international convention as a possible solution

The role of the EU in the external reach of regulatory private law - gentle civilizer or neoliberal hegemon? : Epilogue

Peer reviewe

The Force Awakens: Artificial Intelligence for Consumer Law

Recent years have been tainted by market practices that continuously expose us, as consumers, to new risks and threats. We have become accustomed, and sometimes even resigned, to businesses monitoring our activities, examining our data, and even meddling with our choices. Artificial Intelligence (AI) is often depicted as a weapon in the hands of businesses and blamed for allowing this to happen. In this paper, we envision a paradigm shift, where AI technologies are brought to the side of consumers and their organizations, with the aim of building an efficient and effective counter-power. AI-powered tools can support a massive-scale automated analysis of textual and audiovisual data, as well as code, for the benefit of consumers and their organizations. This in turn can lead to a better oversight of business activities, help consumers exercise their rights, and enable the civil society to mitigate information overload. We discuss the societal, political, and technological challenges that stand before that vision

Assessing the cross-market generalization capability of the CLAUDETTE system

We present a study aimed at testing the CLAUDETTE system’s ability to generalise the concept of unfairness in consumer contracts across diverse market sectors. The data set includes 142 terms of services grouped in five sub-sets: travel and accommodation, games and entertainment, finance and payments, health and well-being, and the more general others. Preliminary results show that the classifier has satisfying performance on all the sectors.Francesca Lagioia and Giovanni Sartor have been supported by the H2020 ERC Project “CompuLaw” (G.A. 833647). Marco Lippi has been supported by the SCUDO project, within the POR-FESR 2014-2020 programme of Regione Toscana. Giacomo Tagiuri has been supported by the National Science Centre in Poland (G.A. UMO- 2019/35/B/HS5/04444)

GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism

The latest developments in natural language processing and machine learning have created new opportunities in legal text analysis. In particular, we look at the texts of online privacy policies after the implementation of the European General Data Protection Regulation (GDPR). We analyse 32 privacy policies to design a methodology for automated detection and assessment of compliance of these documents. Preliminary results confirm the pressing issues with current privacy policies and the beneficial use of this approach in empowering consumers in making more informed decisions. However, we also encountered several serious issues in the process. This paper introduces the challenges through concrete examples of context dependence, omission of information, and multilingualism

Towards Consumer-Empowering Artificial Intelligence

Artificial Intelligence and Law is undergoing a critical transformation. Traditionally focused on the development of expert systems and on a scholarly effort to develop theories and methods for knowledge representation and reasoning in the legal domain, this discipline is now adapting to a sudden change of scenery. No longer confined to the walls of academia, it has welcomed new actors, such as businesses and companies, who are willing to play a major role and seize new opportunities offered by the same transformational impact that recent AI breakthroughs are having on many other areas. As it happens, commercial interests create new opportunities but they also represent a potential threat to consumers, as the balance of power seems increasingly determined by the availability of data. We believe that while this transformation is still in progress, time is ripe for the next frontier of this field of study, where a new shift of balance may be enabled by tools and services that can be of service not only to businesses but also to consumers and, more generally, the civil society. We call that frontier consumer-empowering AI

A corpus for multilingual analysis of online terms of service

We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service. The data set comprises a total of 100 contracts, obtained from 25 documents annotated in four different languages: English, German, Italian, and Polish. For each contract, potentially unfair clauses for the consumer are annotated, for nine different unfairness categories. We show how a simple yet efficient annotation projection technique based on sentence embeddings could be used to automatically transfer annotations across languages