Voting behavior in one-shot and iterative multiple referenda

Grandi, Umberto; Lang, Jérôme; Ozkes, Ali Ihsan; Airiau, Stéphane

doi:10.1007/s00355-022-01436-0

Cited by 1 publication

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More importantly, even when allocations satisfy the fairness notion of EF1, the sheer 'sense of control and agency' resulted in higher satisfaction even when modifications were performed as a group. In voting, Grandi et al (2022) has recently shown that group deliberation in a repeated setting improves the social outcome where participants demonstrated a more optimistic behavior when given agency to deliberate. Similar experiments in fair resource allocation illustrate that agency and group deliberation improve participants perception of fairness in comparison with outcomes prescribed by algorithms on Spliddit (Lee and Baykal 2017).…”

Section: Perceived Fairness and Cognitive Aspectsmentioning

confidence: 99%

The Fairness Fair: Bringing Human Perception into Collective Decision-Making

Hosseini

2024

AAAI

View full text Add to dashboard Cite

Fairness is one of the most desirable societal principles in collective decision-making. It has been extensively studied in the past decades for its axiomatic properties and has received substantial attention from the multiagent systems community in recent years for its theoretical and computational aspects in algorithmic decision-making. However, these studies are often not sufficiently rich to capture the intricacies of human perception of fairness in the ambivalent nature of the real-world problems. We argue that not only fair solutions should be deemed desirable by social planners (designers), but they should be governed by human and societal cognition, consider perceived outcomes based on human judgement, and be verifiable. We discuss how achieving this goal requires a broad transdisciplinary approach ranging from computing and AI to behavioral economics and human-AI interaction. In doing so, we identify shortcomings and long-term challenges of the current literature of fair division, describe recent efforts in addressing them, and more importantly, highlight a series of open research directions.

show abstract

Section: Perceived Fairness and Cognitive Aspectsmentioning

confidence: 99%

The Fairness Fair: Bringing Human Perception into Collective Decision-Making

Hosseini

2024

AAAI

View full text Add to dashboard Cite

show abstract

Voting behavior in one-shot and iterative multiple referenda

Cited by 1 publication

References 32 publications

The Fairness Fair: Bringing Human Perception into Collective Decision-Making

The Fairness Fair: Bringing Human Perception into Collective Decision-Making

Contact Info

Product

Resources

About