Diversity Reading List

Abstract:

Since its beginning in the 1950s, the field of artificial intelligence has cycled several times between periods of optimistic predictions and massive investment (“AI spring”) and periods of disappointment, loss of confidence, and reduced funding (“AI winter”). Even with today’s seemingly fast pace of AI breakthroughs, the development of long-promised technologies such as self-driving cars, housekeeping robots, and conversational companions has turned out to be much harder than many people expected. One reason for these repeating cycles is our limited understanding of the nature and complexity of intelligence itself. In this paper I describe four fallacies in common assumptions made by AI researchers, which can lead to overconfident predictions about the field. I conclude by discussing the open questions spurred by these fallacies, including the age-old challenge of imbuing machines with humanlike common sense.

Introduction: Let’s set the stage. In 2016, ProPublica released a ground-breaking investigation called Machine Bias. You’ve probably heard of it. They examined a criminal risk prediction tool that’s used across the country. These are tools that claim to predict the likelihood that a defendant will reoffend if released, and they are used to inform bail and parole decisions.

Abstract:
In this paper I would like to propose the notion of "affective artifact", building on an analogy with theories of cognitive artifacts (cf. Casati 2017; Fasoli 2018; Heersmink, 2013, 2016; Hutchins 1999) and referring to the development of a situated affective science (cf. Colombetti 2014; Colombetti and Krueger 2015; Colombetti and Roberts 2015; Griffiths and Scarantino 2009). Affective artifacts are tentatively defined as objects that have the capacity to alter the affective condition of an agent, and that in some cases play an important role in defining that agent's self.The notion of affective artifacts will be presented by means of examples supported by empirical findings, by discussing a tentative definition and classification, and by considering several related but differing notions (cf. Colombetti and Krueger 2015; Heersmink 2018). Within the framework of situated affectivity, the notion of affective artifacts will represent a further step in the enterprise of understanding how the environment helps us scaffold our affective processes. I will conclude that affective artifacts play a key role in the philosophy of cognitive science, the philosophy of technology and in the debate about the self.

Abstract:
This case considers the politics of reuse in the realm of “Big Data.” It focuses on the history of a particular collection of data, extracted and digitized from patient records made in the course of a longitudinal epidemiological study involving Indigenous members of the Gila River Indian Community Reservation in the American Southwest. The creation and circulation of the Pima Indian Diabetes Dataset (PIDD) demonstrates the value of medical and Indigenous histories to the study of Big Data. By adapting the concept of the “digital native” itself for reuse, I argue that the history of the PIDD reveals how data becomes alienated from persons even as it reproduces complex social realities of the circumstances of its origin. In doing so, this history highlights otherwise obscured matters of ethics and politics that are relevant to communities who identify as Indigenous as well as those who do not.

Abstract: Prenatal screening, consisting of maternal serum screening and nuchal translucency screening, is on the verge of expansion, both by being offered to more pregnant women and by screening for more conditions. The Society of Obstetricians and Gynaecologists of Canada and the American College of Obstetricians and Gynecologists have each recently recommended that screening be extended to all pregnant women regardless of age, disease history, or risk status. This screening is commonly justified by appeal to the value of autonomy, or women's choice. In this paper, I critically examine the value of autonomy in the context of prenatal screening to determine whether it justifies the routine offer of screening and the expansion of screening services. I argue that in the vast majority of cases the option of prenatal screening does not promote or protect women's autonomy. Both a narrow conception of choice as informed consent and a broad conception of choice as relational reveal difficulties in achieving adequate standards of free informed choice. While there are reasons to worry that women's autonomy is not being protected or promoted within the limited scope of current practice, we should hesitate before normalizing it as part of standard prenatal care for all.

Abstract:
The aesthetic category of the sublime has been theorized (especially in the Kantian tradition) as integrally intertwined with the moral. Paradigmatic experiences of the sublime, such as gazing up at the starry night sky, or out at a storm-whipped sea, lead in a moral or religious direction depending on the cognitive stock brought to the experience, since they typically involve a feeling of awe and reflection on the peculiar situation of the human being in nature. The monumental is a similar aesthetic category, integrally intertwined with the political, but, by contrast, has garnered almost no attention from aestheticians. My main goal in this paper is to sketch a theory of ‘the monumental’ as an aesthetic category—one that is a species of the sublime but differs qualitatively from the natural/environmental sublime in significant ways, and thus merits a distinctive label. In doing so, I aim to shed light on the nature and power of monuments specifically, and to begin to address a lacuna in our understanding of a long-standing and culturally important form of public art.

Abstract: On October 25, 1946, three weeks after the International Military Tribunal at Nuremberg entered its verdicts, the United States established Military Tribunal I for the trial of twenty-three Nazi physicians. The charges, delivered by Brigadier General Telford Taylor on December 9, 1946, form a seminal chapter in the history of medical ethics and, specifically, medical ethics in war. The list of noxious experiments conducted on civilians and prisons of war, and condemned by the Tribunal as war crimes and as crimes against humanity, is by now more or less familiar. That list included: high-altitude experiments; freezing experiments; malaria experiments; sulfanilamide experiments; bone, muscle, and nerve regeneration and bone transplantation experiments; sea water experiments; jaundice and spotted fever experiments; sterilization experiments; experiments with poison and with incendiary bombs. What remains less familiar is the moral mindset of doctors and health care workers who plied their medical skill for morally questionable uses in war. In his 1981 work, The Nazi Doctors, Robert Jay Lifton took up that question, interviewing doctors, many of whom for forty years continued to distance themselves psychologically from their deeds. The questions about moral distancing Lifton raised (though not the questions about criminal experiments) have immediate urgency for us now. Military medical doctors, psychiatrists and psychologists serve in U.S. military prisons in Guantánamo, Abu Ghraib, Kandahar, and, until very recently, in undisclosed CIA operated facilities around the world where medical ethics are again at issue. Moreover, they serve in top positions in the Pentagon, as civilian and military heads of command, who pass orders and regulations to military doctors in the field, and who are in charge of the health of enemy combatants, as well as U.S. soldiers. Because we recently marked the sixtieth anniversary of the judgment at Nuremberg, I want to awaken our collective memory to the ways in which doctors in war, even in a war very different from the one the Nazis fought, can insulate themselves from their moral and professional consciences.

Introduction: Mark Twain said that, for people whose only tool is a hammer, everything looks like a nail. In Thinking about Technology, Joe Pitt's main tools appear to be those of the philosopher of science, so it is not surprising that he claims most problems of philosophy of technology are epistemic problems. As he puts it: 'The strategy here is straightforward. Philosophers of science have examined in detail a number of concepts integral to our understanding of what makes science what it is. The bottom line is this: philosophical questions about technology are first and foremost questions about what we can know about a specific technology and its effects and in what that knowledge consists' . Although Pitt points out important disanalogies between scientific and technological knowledge, nevertheless he emphasizes that philosophy of technology is primarily epistemology. Pitt has stipulatively defined ethical and political analyses of technology as not part of philosophy and philosophy of technology. While claiming to assess the foundations of philosophy of technology, he has adopted a reductionist approach to his subject matter, one that ignores or denigrates the majority of work in philosophy of technology. Does Pitt's bold, reductionist move succeed?

Abstract:

In response to widespread use of automated decision-making technology, some have considered a right to explanation. In this paper I draw on insights from philosophical work on explanation to present a series of challenges to this idea, showing that the normative motivations for access to such explanations ask for something difficult, if not impossible, to extract from automated systems. I consider an alternative, outcomes-focused approach to the normative evaluation of automated decision-making, and recommend it as a way to pursue the goods originally associated with explainability.

Abstract:

This paper explores a neglected normative dimension of algorithmic opacity in the workplace and the labor market. It argues that explanations of algorithms and algorithmic decisions are of noninstrumental value. That is because explanations of the structure and function of parts of the social world form the basis for reflective clarification of our practical orientation toward the institutions that play a central role in our life. Using this account of the noninstrumental value of explanations, the paper diagnoses distinctive normative defects in the workplace and economic institutions which a reliance on AI can encourage, and which lead to alienation.