•  6
    In AI We Trust: Ethics, Artificial Intelligence, and Reliability
    Science and Engineering Ethics 1-19. forthcoming.
    One of the main difficulties in assessing artificial intelligence 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 have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI. Trust is one of the most important and defining activities in human relationships, so proposing that AI should …Read more
  •  7
    Agricultural Big Data Analytics and the Ethics of Power
    Journal of Agricultural and Environmental Ethics 33 (1): 49-69. 2020.
    Agricultural Big Data analytics is being proposed to ensure better farming practices, decision-making, and a sustainable future for humankind. However, the use and adoption of these technologies may bring about potentially undesirable consequences, such as exercises of power. This paper will analyse Brey’s five distinctions of power relationships and apply them to the use agricultural Big Data. It will be shown that ABDA can be used as a form of manipulative power to initiate cheap land grabs an…Read more
  •  2
    Teaching the Common Good in Business Ethics: A Case Study Approach
    Journal of Business Ethics 147 (4): 693-704. 2018.
    This paper addresses the instructional challenges of teaching business ethics in a way shaped by Catholic Social Teaching. Focusing on the concept of the Common Good in CST, I describe my use of a case narrative in classroom instruction to help students understand the concept of the Common Good and to perceive the variety of ways businesses can serve or undermine the Common Good in a small city. Through these pedagogical explorations, I illustrate the distinctive vision of business ethics that f…Read more
  •  120
    Implementation of Belief Change Operators Using BDDs
    with Nikos Gorogiannis
    Studia Logica 70 (1): 131-156. 2002.
    While the theory of belief change has attracted a lot of interest from researchers, work on implementing belief change and actually putting it to use in real-world problems is still scarce. In this paper, we present an implementation of propositional belief change using Binary Decision Diagrams. Upper complexity bounds for the algorithm are presented and discussed. The approach is presented both in the general case, as well as on specific belief change operators from the literature. In an effort…Read more