| |
The paper focuses on concerns and legal challenges brought on by the use of algorithms. A particular class of algorithms that augment or replace analysis and decision-making by humans, i.e. data analytics and machine learning, is under scrutiny. Taking into account Balkin’s work on “the laws of an algorithmic society”, attention is drawn to obligations of transparency, matters of due process, and accountability. This US-centric analysis on drawbacks and loopholes of current legal systems is complemented with the analysis of norms (...) and principles of the EU data protection law, or “GDPR”. The aim is twofold. On the one hand, the intent is to shed light on some crucial differences between the US and EU law on the regulation of algorithmic operators, both public and private. Whereas, in the USA, scholars debate whether and to what extent new duties and responsibilities of algorithmic operators, e.g. information fiduciaries, have to amend the current framework of self-regulation and light government—as shown by the White House’s Office of Science and Technology Policy report from November 2016—in EU law much of the new duties and responsibilities of algorithmic operators have been passed upon them as data controllers. Whether such approaches will successfully tackle the normative challenges of the algorithmic society is, on the other hand, an open issue that will likely represent the main topic of debate over the next years. Disagreement may concern: the terms framing the legal question in e.g. statistical purposes of the data processing; how such terms are related to each other in legal reasoning ; and legal hard cases that will increasingly have to do with the principles that are at stake also but not only in data protection. By entrusting such legal hard cases to algorithms, or some sort of smart artificial agent, humans still bear full responsibility for the judgment of what is socially, ethically, and legally “plain” and “hard” in social affairs. The balance between delegation of decisions to algorithms and non-delegation will be the leitmotiv of the algorithmic society. Since the devil is in the detail, the current paper is devoted to some of them. (shrink) No categories | |
The paper examines how technology challenges conventional borders of national legal systems, as shown by cases that scholars address as a part of their everyday work in the fields of information technology (IT)-Law, i.e., computer crimes, data protection, digital copyright, and so forth. Information on the internet has in fact a ubiquitous nature that transcends political borders and questions the notion of the law as made of commands enforced through physical sanctions. Whereas many of today’s impasses on jurisdiction, international conflicts (...) of law and diverging interpretations of statutes can be addressed by embedding legal safeguards in ICT and other kinds of technology, to overcome the ineffectiveness of state action by design entails its own risks, e.g., threats of paternalism hinging on the regulatory tools of technology. Rather than modelling people’s behaviour by design, the article suggests that design policies should respect individual and collective autonomy by decreasing the impact of harm-generating behaviour (e.g., security measures and default settings for data protection), or by widening the range of people’s choices (e.g., user friendly interfaces). (shrink) |