Algorithms can now identify patterns and correlations in the (big) datasets, and predict outcomes based on those identified patterns and correlations with the use of machine learning techniques and big data, decisions can then be made by algorithms themselves in accordance with the predicted outcomes. Yet, algorithms can inherit questionable values from the datasets and acquire biases in the course of (machine) learning, and automated algorithmic decision-making makes it more difficult for people to see algorithms as biased. While researchers have (...) taken the problem of algorithmic bias seriously, but the current discussion on algorithmic fairness tends to conceptualize ‘fairness’ in algorithmic fairness primarily as a technical issue and attempts to implement pre-existing ideas of ‘fairness’ into algorithms. In this paper, I show that such a view of algorithmic fairness as technical issue is unsatisfactory for the type of problem algorithmic fairness presents. Since decisions on fairness measure and the related techniques for algorithms essentially involve choices between competing values, ‘fairness’ in algorithmic fairness should be conceptualized first and foremost as a political issue, and it should be (re)solved by democratic communication. The aim of this paper, therefore, is to explicitly reconceptualize algorithmic fairness as a political question and suggest the current discussion of algorithmic fairness can be strengthened by adopting the accountability for reasonableness framework. (shrink)

Norman Daniels’s theory of ‘accountability for reasonableness’ is an influential conception of fairness in healthcare resource allocation. Although it is widely thought that this theory provides a consistent extension of John Rawls’s general conception of justice, this paper shows that accountability for reasonableness has important points of contact with both utilitarianism and intuitionism, the main targets of Rawls’s argument. My aim is to demonstrate that its overlap with utilitarianism and intuitionism leaves accountability for reasonableness open to damaging critiques. The important (...) role that utilitarian-like cost-effectiveness calculations are allowed to play in resource allocation processes disregards the separateness of persons and is seriously unfair towards individuals whose interests are sacrificed for the sake of groups. Furthermore, the function played by intuitions in settling frequent value conflicts opens the door for sheer custom and vested interests to steer decision-making. (shrink)

In most socialised health systems there are formal processes that manage resource scarcity and determine the allocation of funds to health services in accordance with their priority. In this analysis, part of a larger qualitative study examining the ethical issues entailed in doctors’ participation as technical experts in priority setting, we describe the values and ethical commitments of doctors who engage in priority setting and make an empirically derived contribution towards the identification of an ethical framework for doctors’ macroallocation work. (...) We conducted semi-structured interviews with 20 doctors, each of whom participated in macroallocation at one or more levels of the Australian health system. Our sampling, data-collection, and analysis strategies were closely modelled on grounded moral analysis, an iterative empirical bioethics methodology that employs contemporaneous interchange between the ethical and empirical to support normative claims grounded in practice. The values held in common by the doctors in our sample related to the domains of personal ethics, justice, and practices of argumentation. Applying the principles of grounded moral analysis, we identified that our participants’ ideas of the good in macroallocation and their normative insights into the practice were strongly aligned with the three levels of Paul Ricoeur’s ‘little ethics’: ‘aiming at the “good life” lived with and for others in just institutions’. Our findings suggest new ways of understanding how doctors’ values might have procedural and substantive impacts on macroallocation, and challenge the prevailing assumption that doctors in this milieu are motivated primarily by deontological considerations. Our empirical bioethics approach enabled us to identify an ethical framework for medical work in macroallocation that was grounded in the values and ethical intuitions of doctors engaged in actions of distributive justice. The concordance between Ricoeur’s ‘little ethics’ and macroallocation practitioners’ experiences, and its embrace of mutuality, suggest that it has the potential to guide practice, support ethical reflection, and harmonise deliberative practices amongst actors in macroallocation generally. (shrink)