This article discusses how the law has approached disparate socio-technological innovations over the centuries. Precisely, the primary concern of this paper is to investigate the timing of regulatory intervention. To do so, the article makes a selection of particular innovations connected with money, windmills and data storage devices, and analyses them from a historical perspective. The individual insights from the selected innovations should yield a more systematic view on regulation and technological innovations. The result is that technological changes may be less momentous, from a regulatory standpoint, than social changes.

These days, it appears to be common ground that what is illegal and punishable offline must also be treated as such in online formats. However, the enforcement of laws in the field of hate speech and fake news in social networks faces a number of challenges. Public policy makers increasingly rely on the regu-lation of user generated online content through private entities, i.e. through social networks as intermediaries. With this privat-ization of law enforcement, state actors hand the delicate bal-ancing of (fundamental) rights concerned off to private entities. Different strategies complementing traditional law enforcement mechanisms in Europe will be juxtaposed and analysed with particular regard to their respective incentive structures and consequential dangers for the exercise of fundamental rights. Propositions for a recommendable model honouring both pri-vate and public responsibilities will be presented.

In this paper I propose to analyse the binary notion of personal data and highlight its limits, in order to propose a different conception of personal data. From a risk regulation perspective, the binary notion of personal data is not particularly fit for purpose, considering that data collection and information flows are tremendously big and complex. As a result, the use of a binary system to determine the applicability of EU data protection law may be a simplistic approach. In an effort of bringing physics and law together, certain principles elaborated within the quantum theory are surprisingly applicable to data protection law, and can be used as guidance to shed light on many of today’s data complexities. Lastly, I will discuss the implications and the effects that certain processing operations may have on the possibility of qualifying certain data as personal. In other terms, how the chances to identify certain data as personal is dependent upon the processing operations that a data controller might put in place.

This article presents a perspective which focuses on the right to access information as a mean to ensure a non-discriminatory character of algorithms by providing an alternative to the right to explanation implemented in the General Data Protection Regulation (GDPR). I adopt the evidence-based assumption that automated decision-making technologies have an inherent discriminatory potential. The example of a regulatory means which to a certain extent addresses this problem is the approach based on privacy protection in regard to the right to explanation. The Articles 13-15 and 22 of the GDPR provide individual users with certain rights referring to the automated decision-making technologies. However, the right to explanation not only may have a very limited impact, but it also focuses on individuals thus overlooking potentially discriminated groups. Because of this, the article offers an alternative approach on the basis of the right to access information. It explores the possibility of using this right as a tool to receive information on the algorithms determining automated decision-making solutions. Tracking an evolution of the interpretation of Article 10 of the Convention for the Protection of Human Right and Fundamental Freedoms in the relevant case law aims to illustrate how the right to access information may become a collective-based approach towards the right to explanation. I consider both, the potential of this approach, such as its more collective character e.g. due to the unique role played by the media and NGOs in enforcing the right to access information, as well as its limitations.

In recent years, there has been growing policy support for expanding worker ownership of businesses in the European Union. Debates on stimulating worker ownership are a regular feature of discussions on the collaborative economy and the future of work, given anxieties regarding the reconfiguration of the nature of work and the decline of standardised employment contracts. Yet, worker ownership, in the form of labour-managed firms such as worker cooperatives, remains marginal. This article explains the appeal of worker cooperatives and examines the reasons why they continue to be relatively scarce. Taking its cue from Henry Hansmann’s hypothesis that organisational innovations can make worker ownership of firms viable in previously untenable circumstances, this article explores how organisational innovations, such as those embodied in the capital and governance structure of Decentralised (Autonomous) Organisations (D(A)Os), can potentially facilitate the growth of LMFs. It does so by undertaking a case study of a blockchain project, Colony, which seeks to create decentralised, self-organising companies where decision-making power derives from high-quality work. For worker cooperatives, seeking to connect globally dispersed workers through an online workplace, Colony’s proposed capital and governance structure, based on technological and game theoretic insight may offer useful lessons. Drawing from this pre-figurative structure, self-imposed institutional rules may be deployed by worker cooperatives in their by-laws to avoid some of the main pitfalls associated with labour management and thereby, potentially, vitalise the formation of the cooperative form.