I consider recent strategies proposed by econometricians for extrapolating causal effects from experimental to target populations. I argue that these strategies fall prey to the extrapolator’s circle: they require so much knowledge about the target population that the causal effects to be extrapolated can be identified from information about the target alone. I then consider comparative process tracing as a potential remedy. Although specifically designed to evade the extrapolator’s circle, I argue that CPT is unlikely to facilitate extrapolation in typical (...) econometrics and evidence-based policy applications. To argue this, I offer a distinction between two kinds of extrapolation, attributive and predictive, the latter being prevalent in econometrics and evidence-based policy. I argue that CPT is not helpful for predictive extrapolation when using the kinds of evidence that econometricians and evidence-based policy researchers prefer. I suggest that econometricians may need to consider qualitative evidence to overcome this problem. (shrink)

Algorithmic risk assessment tools, such as COMPAS, are increasingly used in criminal justice systems to predict the risk of defendants to reoffend in the future. This paper argues that these tools may not only predict recidivism, but may themselves causally induce recidivism through self-fulfilling predictions. We argue that such “performative” effects can yield severe harms both to individuals and to society at large, which raise epistemic-ethical responsibilities on the part of developers and users of risk assessment tools. To meet these (...) responsibilities, we present a novel desideratum on algorithmic tools, called explainability-in-context, which requires clarifying how these tools causally interact with the social, technological, and institutional environments they are embedded in. Risk assessment practices are thus subject to high epistemic standards, which haven't been sufficiently appreciated to date. Explainability-in-context, we contend, is a crucial goal to pursue in addressing the ethical challenges surrounding risk assessment tools. (shrink)

Public policymakers and institutional decision-makers routinely face questions about whether interventions “work”: does universal basic income improve people’s welfare and stimulate entrepreneurial activity? Do gated alleyways reduce burglaries or merely shift the crime burden to neighbouring communities? What is the most cost-effective way to improve students’ reading abilities? These are empirical questions that seem best answered by looking at the world, rather than trusting speculations about what will be effective. Evidence-based policy (EBP) is a movement that concretizes this intuition. It (...) maintains that policy should be based on evidence of “what works.” Not any evidence will do, however. Following on the heels of its intellectual progenitor, evidence-based medicine (EBM), EBP insists on the use of high-quality evidence produced in accordance with rigorous methodological standards. Though intuitively compelling, EBP has attracted significant criticism from methodologists, political scientists, and philosophers. This chapter provides a critical overview of EBP through a philosophical lens, reviewing and discussing some of the most pressing challenges that EBP faces and outlining some proposals for improving it. I first provide a brief overview of EBP and distinguish a broader and narrower understanding of it. I then review existing lines of criticism of EBP, two of which are considered in detail. The first elaborates how EBP struggles with extrapolation, that is, the use of evidence from study populations to make inferences about the effects of policies on novel target populations. The second maintains that EBP’s methodological tenets are deeply entwined with moral and political values, which can threaten EBP’s promise to promote objectivity in policymaking. Finally, I make some proposals for how EBP could be improved going forward. (shrink)

The recent wave of generative AI (GAI) systems like Stable Diffusion that can produce images from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GAI? Existing views on creatorship are mixed: some insist that GAI systems are mere tools, and human prompters are creators proper; others are more open to acknowledging more significant roles for GAI, but most conceive (...) of creatorship in an all-or-nothing fashion. We develop a novel view, called CCC (collective-centered creation), that improves on these existing positions. On CCC, GAI outputs are created by collectives in the first instance. Claims to creatorship come in degrees and depend on the nature and significance of individual contributions made by the various agents and entities involved, including users, GAI systems, developers, producers of training data and others. Importantly, CCC maintains that GAI systems can sometimes be part of a co-creating collective. We detail how CCC can advance existing debates and resolve controversies around creatorship involving GAI. (shrink)

Models not only represent but may also influence their targets in important ways. While models’ abilities to influence outcomes has been studied in the context of economic models, often under the label ‘performativity’, we argue that this phenomenon also pertains to epidemiological models, such as those used for forecasting the trajectory of the Covid-19 pandemic. After identifying three ways in which a model by the Covid-19 Response Team at Imperial College London may have influenced scientific advice, policy, and individual responses, (...) we consider the implications of epidemiological models’ performative capacities. We argue, first, that performativity may impair models’ ability to successfully predict the course of an epidemic; but second, that it may provide an additional sense in which these models can be successful, namely by changing the course of an epidemic. (shrink)

Research on psychopathy among incarcerated, Caucasian males has consistently demonstrated deficits in emotion processing and response inhibition. Using the PCL-R to classify participants as psychopathic or non-psychopathic, this study examined the performance of incarcerated, Caucasian females on two laboratory tasks: A lexical decision task used to assess emotion processing and a passive avoidance task used to assess response inhibition. Contrary to prediction, deficits in performance typically exhibited by psychopathic males were not exhibited by psychopathic females in this sample. Implications of (...) these findings are discussed and an interpretation of the results in the context of the Response Modulation Hypothesis is presented. (shrink)

The depiction of events in the society and storing the knowledge of such is an important forte of the dramaturge. Drama has been a very pertinent cultural form (whether textual or performative) through which writers create memory and knowledge of varying issues, especially issues of women and the girl child rights. Methodologically using content analysis of Tess Onwueme's The Reign of Wazobia and The Broken Calabash, the article explores the language of revolution against the domination of women and the girl (...) child by patriarchal structures. It is anchored on Donal Cabaugh's theory of cultural discourse analysis (CDA) that focuses on how communication is shaped as a cultural practice. It illustrates the significance of theatre in the unpacking and interrogation of socio-cultural assumptions of cultural discourse that perpetuate the marginalization and abuse of women in Nigeria. It further examines the strength of theatre and drama as capable of creating a space for all concerned to explore and interrogate extant realities. The findings, through the content of the texts treated showcase an extensive subjugation and discrimination against women and the girl child. It is in light of this that the study suggests a deployment of a revolutionary space to address the issues of discrimination and marginalization through conversations by using theatre for development (TfD) method. (shrink)

Imagine both that (1) S1 is deliberating at t about whether or not to x at t' and that (2) although S1’s x-ing at t' would not itself have good consequences, good consequences would ensue if both S1 x's at t' and S2 y's at t", where S1 may or may not be identical to S2 and where t < t' ≤ t". In this paper, I consider how consequentialists should treat S2 and the possibility that S2 will y at (...) t". At one end of the spectrum, consequentialists would hold that, in deciding whether or not to x at t', S1 should always treat S2 as a force of nature over which she has no control and, thus, treat the possibility that S2 will y at t" as she would the possibility that a hurricane will take a certain path. On this view, S1 is to predict whether or not S2 will y and act accordingly. At the other end of the spectrum, consequentialists would hold that S1 should always treat S2 as someone available for mutual cooperation and, thus, treat the possibility that S2 will y at t" as something to be relied upon. On this view, S1 is to rely on S2’s cooperation and so play her part in the best cooperative scheme involving the two of them. A third and intermediate position would be to hold that whether S1 should treat S2 as a force of nature or as someone available for mutual cooperation depends on whether S1 can see to it that S2 will y at t" by, say, having the right set attitudes. I’ll argue for this third position. As we’ll see, an important implication of this view is that consequentialists should be concerned not just with an agent’s voluntary actions but also with their involuntary acquisitions of various mental attitudes, such as beliefs, desires, and intentions. Indeed, I will argue that consequentialists should hold both that (1) an agent’s most fundamental duty is to have all those attitudes that she has decisive reason to have and only those attitudes that she has sufficient reason to have and that (2) she has a derivative duty to perform an act x if and only if her fulfilling this fundamental duty ensures that she x’s. Thus, I argue (as Donald Regan did before me) that consequentialism should not be exclusively act-orientated – that it should require agents not only to perform certain voluntary actions but also to have certain attitudes. In the process, I develop a new version of consequentialism, which I call attitude-consequentialism. (The latest version of this paper can always be found at: https://dl.dropboxusercontent.com/u/14740340/Consequentialism%20and%20Coordination%20Problems.pdf) -/- . (shrink)