Given that biases can distort bioethics work, it has received surprisingly little and fragmented attention compared to in other fields of research. This article provides an overview of potentially relevant biases in bioethics, such as cognitive biases, affective biases, imperatives, and moral biases. Special attention is given to moral biases, which are discussed in terms of (1) Framings, (2) Moral theory bias, (3) Analysis bias, (4) Argumentation bias, and (5) Decision bias. While the overview is not exhaustive and the taxonomy (...) by no means is absolute, it provides initial guidance with respect to assessing the relevance of various biases for specific kinds of bioethics work. One reason why we should identify and address biases in bioethics is that it can help us assess and improve the quality of bioethics work. (shrink)

Growing ties to private industry have prompted many to question the impartiality of academic bioethicists who receive financial support from for-profit corporations in exchange for ethics-related services and research. To the extent that corporate sponsors may view bioethics as little more than a way to strengthen public relations or avoid potential controversy, close ties to industry may pose serious threats to professional independence. New sources of support from private industry may also divert bioethicists from pursuing topics of greater social importance, (...) such as the needs of medically underserved communities. To inform ongoing debates about the financing of bioethics and its transparency to those concerned about potential sources of bias, we examined funding disclosures appearing in original research reports in major bioethics journals. Reviewing research published over a 15-year period, we found little evidence that for-profit corporations are influencing bioethics research directly. Instead, we found evidence that a great number of organizations, both public and private, support bioethics research. These findings suggest that worries about the cooption of bioethics research by a few interested stakeholders are greatly overstated and undersupported by available data. (shrink)