Diversity Reading List

Abstract:

The recent proliferation of deepfakes, AI and other digitally produced deceptive representations has revived the debate on the epistemic robustness of photography and other mechanically produced images. Authors such as Rini (2020) and Fallis (2021) claim that the proliferation of deepfakes pose a serious threat to the reliability and the epistemic value of photographs and videos. In particular, Fallis adopts a Skyrmsian account of how signals carry information (Skyrms, 2010) to argue that the existence of deepfakes significantly reduces the information that images carry about the world, which undermines their reliability as a source of evidence. In this paper, we focus on Fallis’ version of the challenge, but our results can be generalized to address similar pessimistic views such as Rini’s. More generally, we offer an account of the epistemic robustness of photography and videos that allows us to understand these systems of representation as continuous with other means of information transmission we find in nature. This account will then give us the necessary tools to put Fallis’ claims into perspective: using a richer approach to animal signaling based on the signaling model of communication (Maynard-Smith and Harper, 2003), we will claim that, while it might be true that deepfake technology increases the probability of obtaining false positives, the dimension of the epistemic threat involved might still be negligible.

Abstract:

Suppose that you are soon to be a parent and you learn that there are some simple measures that you can take to make sure that your child will be healthy. In particular, suppose that by following the doctor’s advice, you can prevent your child from having a disability, you can make your child immune from a number of dangerous diseases and you can even enhance its future intelligence. All that is required for this to happen is that you (or your partner) comply with lifestyle and dietary requirements. Do you and your partner have any moral reasons (or moral obligations) to follow the doctor’s advice? Would it make a difference if, instead of following some simple dietary requirements, you consented to genetic engineering to make sure that your child was free from disabilities, healthy and with above average intelligence? In this paper we develop a framework for dealing with these questions and we suggest some directions the answers might take.

Abstract:
During the 1970s and 1980s, a team of Automated Theorem Proving researchers at the Argonne National Laboratory near Chicago developed the Automated Reasoning Assistant, or AURA, to assist human users in the search for mathematical proofs. The resulting hybrid humans+AURA system developed the capacity to make novel contributions to pure mathematics by very untraditional means. This essay traces how these unconventional contributions were made and made possible through negotiations between the humans and the AURA at Argonne and the transformation in mathematical intuition they produced. At play in these negotiations were experimental practices, nonhumans, and nonmathematical modes of knowing. This story invites an earnest engagement between historians of mathematics and scholars in the history of science and science studies interested in experimental practice, material culture, and the roles of nonhumans in knowledge making.

Abstract:
The highest level of mathematics has traditionally been seen as a solitary endeavour, to produce a proof for review and acceptance by research peers. Mathematics is now at a remarkable inflexion point, with new technology radically extending the power and limits of individuals. Crowdsourcing pulls together diverse experts to solve problems; symbolic computation tackles huge routine calculations; and computers check proofs too long and complicated for humans to comprehend. The Study of Mathematical Practice is an emerging interdisciplinary field which draws on philosophy and social science to understand how mathematics is produced. Online mathematical activity provides a novel and rich source of data for empirical investigation of mathematical practice - for example the community question-answering system mathoverflow contains around 40,000 mathematical conversations, and polymath collaborations provide transcripts of the process of discovering proofs. Our preliminary investigations have demonstrated the importance of “soft” aspects such as analogy and creativity, alongside deduction and proof, in the production of mathematics, and have given us new ways to think about the roles of people and machines in creating new mathematical knowledge. We discuss further investigation of these resources and what it might reveal. Crowdsourced mathematical activity is an example of a “social machine”, a new paradigm, identified by Berners-Lee, for viewing a combination of people and computers as a single problem-solving entity, and the subject of major international research endeavours. We outline a future research agenda for mathematics social machines, a combination of people, computers, and mathematical archives to create and apply mathematics, with the potential to change the way people do mathematics, and to transform the reach, pace, and impact of mathematics research.

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:
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: 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?