Fair in the Eyes of Others
November 25, 2019 Β· Declared Dead Β· π European Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Parham Shams, AurΓ©lie Beynier, Sylvain Bouveret, Nicolas Maudet
arXiv ID
1911.11053
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MA
Citations
3
Venue
European Conference on Artificial Intelligence
Last Checked
3 months ago
Abstract
Envy-freeness is a widely studied notion in resource allocation, capturing some aspects of fairness. The notion of envy being inherently subjective though, it might be the case that an agent envies another agent, but that she objectively has no reason to do so. The difficulty here is to define the notion of objectivity, since no ground-truth can properly serve as a basis of this definition. A natural approach is to consider the judgement of the other agents as a proxy for objectivity. Building on previous work by Parijs (who introduced "unanimous envy") we propose the notion of approval envy: an agent $a_i$ experiences approval envy towards $a_j$ if she is envious of $a_j$, and sufficiently many agents agree that this should be the case, from their own perspectives. Some interesting properties of this notion are put forward. Computing the minimal threshold guaranteeing approval envy clearly inherits well-known intractable results from envy-freeness, but (i) we identify some tractable cases such as house allocation; and (ii) we provide a general method based on a mixed integer programming encoding of the problem, which proves to be efficient in practice. This allows us in particular to show experimentally that existence of such allocations, with a rather small threshold, is very often observed.
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