There is a common problem in artificial intelligence (AI) and information security. In AI, an expert system needs to be able to justify and explain a decision to the user. In information security, experts need to be able to explain to the public why a system is secure. In both cases, an important goal of explanation is to acquire or maintain the users’ trust. In this paper, I investigate the relation between explanation and trust in the context of computing science. (...) This analysis draws on literature study and concept analysis, using elements from system theory as well as actor-network theory. I apply the conceptual framework to both AI and information security, and show the benefit of the framework for both fields by means of examples. The main focus is on expert systems (AI) and electronic voting systems (security). Finally, I discuss consequences of the analysis for ethics in terms of (un)informed consent and dissent, and the associated division of responsibilities. (shrink)

Organized into three main parts, this paper examines some challenges for the informed-consent process in medical research where DNA databanks are employed. In Part 1, we briefly describe the principle of informed consent and show why it is ethically important. Part 2 focuses on some specific challenges that that arise for the traditional informed-consent process in population-wide genetics/genomics research, especially where data-mining techniques are used. In the third and final section, we defend a model of consent based on the notion (...) of a "charitable trust," which we believe can help to preserve the integrity of the consent process in the context of medical and genetic research involving DNA databanks. (shrink)