This volume gives an overview of the rising field of Experimental Ethics. It is organized into five main parts: PART I – Introduction: An Experimental Philosophy of Ethics? // PART II – Applied Experimental Ethics: Case studies // PART III – On Methodology // PART IV – Critical Reflections // PART V – Future Perspectives. Among the contributors: Walter Sinnott-Armstrong, Eric Schwitzgebel, Ezio di Nucci, Jacob Rosenthal, and Fernando Aguiar.

We explore aversion to the use of algorithms in moral decision-making. So far, this aversion has been explained mainly by the fear of opaque decisions that are potentially biased. Using incentivized experiments, we study which role the desire for human discretion in moral decision-making plays. This seems justified in light of evidence suggesting that people might not doubt the quality of algorithmic decisions, but still reject them. In our first study, we found that people prefer humans with decision-making discretion to (...) algorithms that rigidly apply exogenously given human-created fairness principles to specific cases. In the second study, we found that people do not prefer humans to algorithms because they appreciate flesh-and-blood decision-makers per se, but because they appreciate humans’ freedom to transcend fairness principles at will. Our results contribute to a deeper understanding of algorithm aversion. They indicate that emphasizing the transparency of algorithms that clearly follow fairness principles might not be the only element for fostering societal algorithm acceptance and suggest reconsidering certain features of the decision-making process. (shrink)

Departing from the claim that AI needs to be trustworthy, we find that ethical advice from an AI-powered algorithm is trusted even when its users know nothing about its training data and when they learn information about it that warrants distrust. We conducted online experiments where the subjects took the role of decision-makers who received advice from an algorithm on how to deal with an ethical dilemma. We manipulated the information about the algorithm and studied its influence. Our findings suggest (...) that AI is overtrusted rather than distrusted. We suggest digital literacy as a potential remedy to ensure the responsible use of AI. (shrink)

The transfer of tasks with sometimes far-reaching implications to autonomous systems raises a number of ethical questions. In addition to fundamental questions about the moral agency of these systems, behavioral issues arise. We investigate the empirically accessible question of whether the imposition of harm by an agent is systematically judged differently when the agent is artificial and not human. The results of a laboratory experiment suggest that decision-makers can actually avoid punishment more easily by delegating to machines than by delegating (...) to other people. Our results imply that the availability of artificial agents could provide stronger incentives for decision-makers to delegate sensitive decisions. (shrink)

Teaching experiments are valuable when it comes to sensitizing students for business ethics that addresses the behavior of agents in modern societies. Many students are coined by the often predominantly individualistic ethical reasoning that they are accustomed to from their living environments. In our classes, we confront them with the volatility of their own ethical behavior by the use of experiments that ideally work with real incentives. We believe experiments to be a powerful tool not only to illustrate theoretical concepts, (...) but also to make students experience the compulsion of economic incentives first-hand. This may lead to the insight that one is more prone to the contingencies of the situation than expected. Experiments may make students question their own behavior and re-evaluate the implementability of their moral ideals - as consumers, citizens and managers. (shrink)

Ethics is a field in which the gap between words and actions looms large. Game theory and the empirical methods it inspires look at behavior instead of the lip service people sometimes pay to norms. We believe that this special issue comprises several illustrations of the fruitful application of this approach to ethics.

In this chapter, we present supporting arguments for the claim that Order Ethics is a school of thought within ethics which is especially open to empirical evidence. With its focus on order frameworks, i.e., incentive structures, Order Ethical advice automatically raises questions on implementability, efficacy, and efficiency of such recommended institutions, all of which are empirical questions to a good extent. We illustrate our arguments by presenting a small selection of experiments from economics that we consider highly informative for Order (...) Ethics. These experiments vary in their details but share one common theme: individual decision-making and its aggregate results are tested against the background of incentive structures. In particular, these studies provide first insights on how unregulated markets influence moral behavior over time, how trial-and-error experiences convince subjects to migrate to more efficient institutions, and how default rules can influence fundamental choices of people. We argue that Order Ethics, for which implementability of any moral claim is an essential requirement, can largely benefit from the use of such experimental methods. Finally, we suggest the provision of self-commitment devices as one example of smart policy design that avoids paternalistic intrusions into individual liberty. (shrink)

There is an ongoing debate about genetic engineering (GE) in food production. Supporters argue that it makes crops more resilient to stresses, such as drought or pests, and should be considered by researchers as a technology to address issues of global food security, whereas opponents put forward that GE crops serve only the economic interests of transnational agrifood-firms and have not yet delivered on their promises to address food shortage and nutrient supply. To address discourse failure regarding the GE debate, (...) research needs to understand better what drives the divergent positions and which moral attitudes fuel the mental models of GE supporters and opponents. Hence, this study investigates moral attitudes regarding GE opposition and support in Germany. Results show that GE opponents are significantly more absolutist than supporters and significantly less likely to hold outcome-based views. Furthermore, GE opponents are more willing to donate for preventing GE admission than supporters are willing to donate for promoting GE admission. Our results shed light on why the divide between opponents and supporters in the German GE debate could remain stark and stable for so long. (shrink)

We address the considerations of the European Commission Expert Group on the ethics of connected and automated vehicles regarding data provision in the event of collisions. While human drivers’ appropriate post-collision behavior is clearly defined, regulations for automated driving do not provide for collision detection. We agree it is important to systematically incorporate citizens’ intuitions into the discourse on the ethics of automated vehicles. Therefore, we investigate whether people expect automated vehicles to behave like humans after an accident, even if (...) this behavior does not directly affect the consequences of the accident. We find that appropriate post-collision behavior substantially influences people’s evaluation of the underlying crash scenario. Moreover, people clearly think that automated vehicles can and should record the accident, stop at the site, and call the police. They are even willing to pay for technological features that enable post-collision behavior. Our study might begin a research program on post-collision behavior, enriching the empirically informed study of automated driving ethics that so far exclusively focuses on pre-collision behavior. (shrink)