The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, what (...) theory can explain the process of moral reasoning, decision and action, for AI entities in virtual, simulated and real-life moral scenarios? This thesis answers these two research questions with its two main contributions to the field of AI ethics, a substantial and a methodological contribution. The substantial contribution is a coherent and novel theory named Ethics of Systems Framework, as well as a possible inception of a new field of study: ethics of systems. The methodological contribution is the creation of its main methodological tool, the Ethics of Systems Interface. The second part of the research effort was focused on testing and demonstrating the capacities of the Ethics of Systems Framework and Interface in modeling and managing moral scenarios in which AI and other entities participate. Further work can focus on building on top of the foundations of the Framework provided here, increasing the scope of moral theories and simulated scenarios, improving the level of detail and parameters to reflect real-life situations, and field-testing the Framework on actual AI systems. (shrink)

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)

This article argues that legal discourses about robots are framed within a limiting ‘human paradigm.’ While this is not a specific failure of lawyers, it has significant consequences for law in a digital future. This visualising of robots has its origins in mainstream twentieth-century science fictional tropes of artificial beings. This article begins by identifying the predominant science fiction tropes regarding artificial beings as a source of anxiety for human futures, as located in discrete bodies and as separate from humans. (...) The article then traces this ‘human paradigm’ in robot law scholarship. It is shown how a focus on embodiment and separation disrupts appreciation of the emerging partial disembodiment and hybridity of digital autonomy. There is a continual sense of needing to keep robots and humans distinct and separate, which is not how digital futures are manifesting. (shrink)

Robot is definitely playing important role in human society. Low contact on machine standards is mostly on industrial robot while close contacts are in increasing demand in service robot, etc. The development of robotics with advanced hardware and artificial intelligence (AI) provide the possibility with human beings while close contacts raise many new issues on ethics and risks. For interaction, the related technique of perception, cognition and interaction are briefly introduced. For ethics, rules should be given for the robot designers (...) to include ethics for certain application while risks should be evaluated during the experiment test. To make efficient decision, safety design with AI technology should be put on agenda for roboticists. Except from the risks, ethics raise many challenges while most of them can be solved by developing technologies while some of the problems exist in human’s society which also raise the questions for the human beings. More broader vision should be taken from different social departments together to avoid the possible embarrassed issues. It’s time to welcome the world of robotics and related techniques will make life more efficient while human-robot coexistence society will come one day and law should be imposed on both. (shrink)