We address the ethics of scenarios in which one party entraps, intentionally tempts or intentionally tests the virtue of another. We classify, in a new manner, three distinct types of acts that are of concern, namely acts of entrapment, of intentional temptation and of virtue testing. Our classification is, for each kind of scenario, of itself neutral concerning the question whether the agent acts permissibly. We explain why acts of entrapment are more ethically objectionable than like acts of intentional temptation (...) and why these, in turn, are more ethically objectionable than like acts of virtue testing. Along the way, we scrutinize, and eventually reject, the view that acts of entrapment are ethically unacceptable because intentional temptation is involved in entrapment. (shrink)

Should you be targeted by police for a crime that AI predicts you will commit? In this paper, we analyse when, and to what extent, the person-based predictive policing (PP) — using AI technology to identify and handle individuals who are likely to breach the law — could be justifiably employed. We first examine PP’s epistemological limits, and then argue that these defects by no means refrain from its usage; they are worse in humans. Next, based on major AI ethics (...) guidelines (IEEE, EU, and RIKEN, etc.), we refine three basic moral principles specific to person-based PP. We also derive further requirements from case studies, including debates in Chicago, New Orleans, San Francisco, Tokyo, and cities in China. Instead of rejecting PP programs, we analyse what necessary conditions should be met for using the tool to achieve social good. While acknowledging its risks, we conclude that the person-based PP could be beneficial in community policing, especially when merging into a larger governance framework of the social safety net. (shrink)