Kristen Intemann

Although there is increased recognition of the inevitable--and perhaps sometimes beneficial-- role of values in scientific inquiry, there are also growing concerns about the potential for commercial values to lead to bias. This is particularly evident in biomedical research. There is a concern that conflicts of interest created by commercialization may lead to biased reasoning or methodological choices in testing drugs and medical interventions. In addition, such interests may lead research in directions that are unresponsive to pressing social needs, when it is profitable to do so. Feminist philosophy of science seems particularly well situated to provide resources to help address such concerns because this literature has both 1) theorized about how to minimize biases in science, e.g., sexist or androcentric biases, and 2) generated accounts of objectivity that do not require individual scientists to be value-neutral or disinterested. Two such accounts are assessed in relation to concerns about commercial bias: those offered by feminist empiricism and standpoint feminism. We argue that standpoint feminism is more promising because it has resources to address, not just the epistemological, but also the inescapably ethical dimensions of commercial bias.

While it is widely acknowledged that science is not “free” of non-epistemic values, there is disagreement about the roles that values can appropriately play. Several have argued that non-epistemic values can play important roles in modeling decisions, particularly in addressing uncertainties ; Risbey 2007; Biddle and Winsberg 2010; Winsberg : 111-137, 2012); van der Sluijs 359-389, 2012). On the other hand, such values can lead to bias ; Bray ; Oreskes and Conway 2010). Thus, it is important to identify when it is legitimate to appeal to non-epistemic values in modeling decisions. An approach is defended here whereby such value judgments are legitimate when they promote democratically endorsed epistemological and social aims of research. This framework accounts for why it is legitimate to appeal to non-epistemic values in a range of modeling decisions, while addressing concerns that the presence of such values will lead to bias or give scientists disproportionate power in deciding what values ought to be endorsed

Despite increasing recognition of the ways in which ethical and social values play a role in science (Kitcher 2001; Longino 1990, 2002), scientists are often still reluctant to acknowledge or discuss ethical and social values at stake in their research. Even when research is closely connected to developing public policy, it is generally held that it should be empirical data, and not the values of scientists, that inform policy. According to this view, scientists need not, and should not, endorse non-epistemic values related to their research, as doing so may bias their assessment of what the evidence is. As a result, debates over science-based policy tend to be construed solely as empirical discussions to be..