A common objection to the precautionary principle is that it is irrational. I argue that this objection goes beyond the often-discussed claim that the principle is incoherent. Instead, I argue, exp...

The influential public health ethics framework proposed by Childress et al. includes five “justificatory conditions,” two of which are “necessity” and “least infringement.” While the framework points to important moral values, we argue it is redundant for it to list both necessity and least infringement because they are logically equivalent. However, it is ambiguous whether Childress et al. would endorse this view, or hold the two conditions distinct. This ambiguity has resulted in confusion in public health ethics discussions citing the (...) Childress et al. framework, as demonstrated by debate between Resnik and Wilson and Dawson. We analyse this debate to resolve these ambiguities. Finally, we argue that the necessity/least infringement principle of the Childress et al. framework applies only in cases in which only one intervention is to be implemented to achieve one specific goal. In other cases, it is not essential to require that only the least infringing intervention be implemented. (shrink)

Scientific research that could cause grave harm, either through accident or intentional malevolence, is known as dual-use research. Recent high-profile cases of dual-use research in the life sciences have led to debate about the extent to which restrictions on the conduct and dissemination of such research may impede scientific progress. We adapt formal models of scientific networks to systematically explore the effects that different regulatory schemes may have on a community’s ability to learn about the world. Our results suggest that, (...) contrary to common wisdom, some restrictions on the conduct and dissemination of dual-use research do not inhibit scientific progress and may actually aid communities in learning. (shrink)

Dual Use Research of Concern constitutes a major challenge for research practice and oversight on the local, national and international level. The situation in Germany is shaped by two partly competing suggestions of how to regulate security-related research: The German Ethics Council, as an independent political advisory body, recommended a series of measures, including national legislation on DURC. Competing with that, the German National Academy of Sciences and the German Research Foundation, as two major professional bodies, presented a strategy which (...) draws on the self-control of science and, inter alia, suggests expanding the scope of research ethics committees to an evaluation of DURC. This situation is taken as an occasion to further discuss the scope and limits of professional self-control with respect to security-related research. The role of RECs as professional bodies of science is particularly analyzed, referring to the theoretical backgrounds of professionalism. Two key sociological features of professionalism – ethical orientation and professional self-control – are discussed with respect to the practice of biomedical science. Both attributes are then analyzed with respect to the assessment of DURC by RECs. In conclusion, it is stated that issues of biosecurity transcend the boundaries of the scientific community and that a more comprehensive strategy should be implemented encompassing both professional self-control and legal oversight. (shrink)

AI researchers have developed sophisticated language models capable of generating paragraphs of 'synthetic text' on topics specified by the user. While AI text generation has legitimate benefits, it could also be misused, potentially to grave effect. For example, AI text generators could be used to automate the production of convincing fake news, or to inundate social media platforms with machine-generated disinformation. This paper argues that AI text generators should be conceptualised as a dual-use technology, outlines some relevant lessons from earlier (...) debates on dual-use life sciences research, and calls for closer collaboration between ethicists and the machine learning community to address AI language models’ dual-use implications. (shrink)

A challenge faced by defenders of the precautionary principle is to clarify when the evidence that a harmful event might occur suffices to regard this prospect as a real possibility. Plausible versions of the principle must articulate some epistemic threshold, orde minimisrequirement, which specifies when precautionary measures are justified. Critics have argued that formulating such a threshold is problematic in the context of the precautionary principle. First, this is because the precautionary principle appears to be ambiguous about the distinction between (...) risk and uncertainty: should the principle merely be invoked when evidential probabilities are absent, or also when probabilities have low epistemic credentials? Secondly, defenders of the precautionary principle face an aggregation puzzle: in judging whether or not thede minimisrequirement has been met, how should first-order evidential probabilities and their second-order epistemic standing be aggregated? This article argues that the ambiguity can be resolved, and the epistemological puzzle can be solved. Focusing on decisions in the context of climate uncertainty, I advance a version of the precautionary principle that serves as a plausible decision rule, to be adopted in situations where its main alternative—cost–benefit analysis—does not deliver. (shrink)

A challenge faced by defenders of the precautionary principle is to clarify when the evidence that a harmful event might occur suffices to regard this prospect as a real possibility. Plausible versions of the principle must articulate some epistemic threshold, or de minimis requirement, which specifies when precautionary measures are justified. Critics have argued that formulating such a threshold is problematic in the context of the precautionary principle. First, this is because the precautionary principle appears to be ambiguous about the (...) distinction between risk and uncertainty: should the principle merely be invoked when evidential probabilities are absent, or also when probabilities have low epistemic credentials? Secondly, defenders of the precautionary principle face an aggregation puzzle: in judging whether or not the de minimis requirement has been met, how should first-order evidential probabilities and their second-order epistemic standing be aggregated? This article argues that the ambiguity can be resolved, and the epistemological puzzle can be solved. Focusing on decisions in the context of climate uncertainty, I advance a version of the precautionary principle that serves as a plausible decision rule, to be adopted in situations where its main alternative—cost–benefit analysis—does not deliver. (shrink)

Many instances of scientific research impose risks, not just on participants and scientists but also on third parties. This class of social risks unifies a range of problems previously treated as distinct phenomena, including so-called bystander risks, biosafety concerns arising from gain-of-function research, the misuse of the results of dual-use research, and the harm caused by inductive risks. The standard approach to these problems has been to extend two familiar principles from human subjects research regulations—a favorable risk-benefit ratio and informed (...) consent. We argue, however, that these moral principles will be difficult to satisfy in the context of widely distributed social risks about which affected parties may reasonably disagree. We propose that framing these risks as political rather than moral problems may offer another way. By borrowing lessons from political philosophy, we propose a framework that unifies our discussion of social risks and the possible solutions to them. (shrink)

Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...) associated with experimental design, including controlled variation and randomization, this chapter will provide a summary of key ethical issues that tend to arise in experimental contexts. In addition, by exploring assumptions about the nature of causation and by analyzing features of causal relationships, systems, and inferences in social contexts, this chapter will summarize the ways in which experimental design can undermine the integrity of not only social and behavioral research but policies implemented on the basis of such research. (shrink)