X-Phi and Impartiality Thought Experiments: Investigating the Veil of Ignorance

N. Paulo & T. Pölzler
Diametros 17 (2020), 64: 72–89
doi: 10.33392/diam.1499

Abstract

This paper discusses “impartiality thought experiments”, i.e., thought experiments that attempt to generate intuitions which are unaffected by personal characteristics such as age, gender or race. We focus on the most prominent impartiality thought experiment, the Veil of Ignorance (VOI), and show that both in its original Rawlsian version and in a more generic version, empirical investigations can be normatively relevant in two ways: First, on the assumption that the VOI is effective and robust, if subjects dominantly favor a certain normative judgment behind the VOI this provides evidence in favor of that judgment; if, on the other hand, they do not dominantly favor a judgment this reduces our justification for it. Second, empirical investigations can also contribute to assessing the effectiveness and robustness of the VOI in the first place, thereby supporting or undermining its applications across the board.

From the Conclusion:

There are two ways in which empirical investigations of the VOI turned out to be normatively relevant. First, on the assumption that the VOI is effective and robust, if subjects dominantly favor a certain normative judgment behind the VOI this provides evidence in favor of that judgment; if, on the other hand, they do not dominantly favor a judgment this reduces our justification for it. Second, empirical investigations can also contribute to assessing the effectiveness and robustness of the VOI in the first place, thereby supporting or undermining its applications across the board. Analogous conclusions may apply to other impartiality thought experiments as well.

Veil-of-ignorance reasoning favors the greater good

Karen Huang, Joshua D. Greene and Max Bazerman
PNAS first published November 12, 2019
https://doi.org/10.1073/pnas.1910125116

Abstract

The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was originally applied by philosophers and economists to foundational questions concerning the overall organization of society. Here we apply veil-of-ignorance reasoning in a more focused way to specific moral dilemmas, all of which involve a tension between the greater good and competing moral concerns. Across six experiments (N = 5,785), three pre-registered, we find that veil-of-ignorance reasoning favors the greater good. Participants first engaged in veil-of-ignorance reasoning about a specific dilemma, asking themselves what they would want if they did not know who among those affected they would be. Participants then responded to a more conventional version of the same dilemma with a moral judgment, a policy preference, or an economic choice. Participants who first engaged in veil-of-ignorance reasoning subsequently made more utilitarian choices in response to a classic philosophical dilemma, a medical dilemma, a real donation decision between a more vs. less effective charity, and a policy decision concerning the social dilemma of autonomous vehicles. These effects depend on the impartial thinking induced by veil-of-ignorance reasoning and cannot be explained by a simple anchoring account, probabilistic reasoning, or generic perspective-taking. These studies indicate that veil-of-ignorance reasoning may be a useful tool for decision-makers who wish to make more impartial and/or socially beneficial choices.

Significance

The philosopher John Rawls aimed to identify fair governing principles by imagining people choosing their principles from behind a “veil of ignorance,” without knowing their places in the social order. Across 7 experiments with over 6,000 participants, we show that veil-of-ignorance reasoning leads to choices that favor the greater good. Veil-of-ignorance reasoning makes people more likely to donate to a more effective charity and to favor saving more lives in a bioethical dilemma. It also addresses the social dilemma of autonomous vehicles (AVs), aligning abstract approval of utilitarian AVs (which minimize total harm) with support for a utilitarian AV policy. These studies indicate that veil-of-ignorance reasoning may be used to promote decision making that is more impartial and socially beneficial.

John Rawls’ ‘A Theory of Justice’

Ben Davis
1000-Word Philosophy
Originally posted July 27, 2018

Here is an excerpt:

Reasonable people often disagree about how to live, but we need to structure society in a way that reasonable members of that society can accept. Citizens could try to collectively agree on basic rules. We needn’t decide every detail: we might only worry about rules concerning major political and social institutions, like the legal system and economy, which form the ‘basic structure’ of society.

A collective agreement on the basic structure of society is an attractive ideal. But some people are more powerful than others: some may be wealthier, or part of a social majority. If people can dominate negotiations because of qualities that are, as Rawls (72-75) puts it, morally arbitrary, that is wrong. People don’t earn these advantages: they get them by luck. For anyone to use these unearned advantages to their own benefit is unfair, and the source of many injustices.

This inspires Rawls’ central claim that we should conceive of justice ‘as fairness.’ To identify fairness, Rawls (120) develops two important concepts: the original position and the veil of ignorance:

The original position is a hypothetical situation: Rawls asks what social rules and institutions people would agree to, not in an actual discussion, but under fair conditions, where nobody knows whether they are advantaged by luck. Fairness is achieved through the veil of ignorance, an imagined device where the people choosing the basic structure of society (‘deliberators’) have morally arbitrary features hidden from them: since they have no knowledge of these features, any decision they make can’t be biased in their own favour.

The brief, excellent synopsis is here.