The Role of Normware in Trustworthy and Explainable AI

For being potentially destructive, in practice incomprehensible and for the most unintelligible, contemporary technology is setting high challenges on our society. New conception methods are urgently required. Reorganizing ideas and discussions presented in AI and related fields, this position paper aims to highlight the importance of normware--that is, computational artifacts specifying norms--with respect to these issues, and argues for its irreducibility with respect to software by making explicit its neglected ecological dimension in the decision-making cycle

The Right to a Fair Trial in Automated Civil Proceedings

Challenges associated with the use of artificial intelligence (AI) in law are one of the most hotly debated issues today. This paper draws attention to the question of how to safeguard the right to a fair trial in the light of rapidly changing technologies significantly affecting the judiciary and enabling automation of the civil procedure. The paper does not intend to comprehensively address all aspects related to the right to a fair trial in the context of the automation of civil proceedings but rather seeks to analyse some legal concerns from the perspective of the Article 6 of the European Convention on Human Rights and the case-law of the European Court of Human Rights. Section 1 discusses the issues of using artificial intelligence in the justice and automation of the judicial proceedings. Section 2 is devoted to the judge supporting system based on artificial intelligence and psychological requirements of its practical use. Section 3 presents the right to a fair trial in civil cases established by the Article 6 of the European Convention on Human Rights, while subsequent sections characterize its elements with respect to the possibility to automate civil proceedings: a right to have case heard within a reasonable time in section 4 and a right to a reasoned judgment in section 5

New challenges for trade unions in the face of algorithmic management in the work environment

Algorithmic management is the subject of numerous scientific studies. This article attempts to answer the question of what kinds of new competencies and skills should be acquired by trade unions in the face of challenges related to algorithmic management. The author indicates two main areas of trade union activities: The first concerns the challenges associated with the process of explaining and transplanting artificial intelligence. The second concerns participation in the AI certification process. Considering that artificial intelligence algorithms' certification process is an entirely new undertaking, it should be based on a pragmatic search for peaceful solutions, encourage compliance with the law and limit the possibility of stiff administrative and criminal sanctions. For this purpose, the author considers using the theory of responsive regulation as a pragmatic approach for certification agencies and trade unions. The author considers the cooperation of artificial intelligence to be the main principle. In the working environment, there should be a principle of human importance-the focus of personalism

Artificial intelligence as law:Presidential address to the seventeenth international conference on artificial intelligence and law

Information technology is so ubiquitous and AI's progress so inspiring that also legal professionals experience its benefits and have high expectations. At the same time, the powers of AI have been rising so strongly that it is no longer obvious that AI applications (whether in the law or elsewhere) help promoting a good society; in fact they are sometimes harmful. Hence many argue that safeguards are needed for AI to be trustworthy, social, responsible, humane, ethical. In short: AI should be good for us. But how to establish proper safeguards for AI? One strong answer readily available is: consider the problems and solutions studied in AI & Law. AI & Law has worked on the design of social, explainable, responsible AI aligned with human values for decades already, AI & Law addresses the hardest problems across the breadth of AI (in reasoning, knowledge, learning and language), and AI & Law inspires new solutions (argumentation, schemes and norms, rules and cases, interpretation). It is argued that the study of AI as Law supports the development of an AI that is good for us, making AI & Law more relevant than ever

The Human Control Over Autonomous Robotic Systems: What Ethical and Legal Lessons for Judicial Uses of AI?

This contribution provides an overview of normative problems posed by increasingly autonomous robotic systems, with the goal of drawing significant lessons for the use of AI technologies in judicial proceedings, especially focusing on the shared control relationship between the human decision-maker (i.e. the judge) and the software system. The exemplary case studies that we zoom in concern two ethically and legally sensitive application domains for robotics: autonomous weapons systems and increasingly autonomous surgical robots. The first case study is expedient to delve into the normative acceptability issue concerning autonomous decision-making and action by robots. The second case study is used to investigate the human responsibility issue in human-robot shared control regimes. The convergent implications of both case studies for the analysis of ethical and legal issues raised by judicial applications of AI enable one to highlight the need for and core contents of a genuinely meaningful human control to be exerted on the operational autonomy, if any, of AI systems in judicial proceedings