One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...) human relationships, so proposing that AI should be trusted, is a very serious claim. This paper will show that AI cannot be something that has the capacity to be trusted according to the most prevalent definitions of trust because it does not possess emotive states or can be held responsible for their actions—requirements of the affective and normative accounts of trust. While AI meets all of the requirements of the rational account of trust, it will be shown that this is not actually a type of trust at all, but is instead, a form of reliance. Ultimately, even complex machines such as AI should not be viewed as trustworthy as this undermines the value of interpersonal trust, anthropomorphises AI, and diverts responsibility from those developing and using them. (shrink)

Underestimated for a long time, serendipity is an increasingly recognized design principle of the infosphere. Being influenced by environmental and human factors, the experience of serendipity encompasses fundamental phases of production, distribution and consumption of information. On the one hand, design information architectures for serendipity increases the diversity of information encountered as well as users’ control over information processes. On the other hand, serendipity is a capability. It helps individuals to internalize and adopt strategies that increase the chances of experiencing (...) it. As such, the pursuit for serendipity can help to burst filter bubbles and weaken echo chambers in social media. The article reviews the literature on emerging issues surrounding serendipity in human–computer interactions. By doing so, it firstly presents the study of serendipity and the debate about its role in digital environments. Then, it introduces the main features of a preliminary architecture for serendipity. Finally, it analyzes from an interdisciplinary perspective the values that embraces and sustains. The conclusion is that serendipity can be conceived as an emerging design and ethical principle able to strengthen media pluralism and other emerging human rights in the context of online personalization. Main limitations and potential unintended consequences are also discussed. (shrink)