Degrees of individual and groupwise backward and forward responsibility in extensive-form games with ambiguity, and their application to social choice problems

by   Jobst Heitzig, et al.
Potsdam Institute for Climate Impact Research

Many real-world situations of ethical relevance, in particular those of large-scale social choice such as mitigating climate change, involve not only many agents whose decisions interact in complicated ways, but also various forms of uncertainty, including quantifiable risk and unquantifiable ambiguity. In such problems, an assessment of individual and groupwise moral responsibility for ethically undesired outcomes or their responsibility to avoid such is challenging and prone to the risk of under- or overdetermination of responsibility. In contrast to existing approaches based on strict causation or certain deontic logics that focus on a binary classification of `responsible' vs `not responsible', we here present several different quantitative responsibility metrics that assess responsibility degrees in units of probability. For this, we use a framework based on an adapted version of extensive-form game trees and an axiomatic approach that specifies a number of potentially desirable properties of such metrics, and then test the developed candidate metrics by their application to a number of paradigmatic social choice situations. We find that while most properties one might desire of such responsibility metrics can be fulfilled by some variant, an optimal metric that clearly outperforms others has yet to be found.


page 1

page 2

page 3

page 4


Dynamic Risk Assessment for Geologic CO2 Sequestration

At a geologic CO2 sequestration (GCS) site, geologic uncertainty usually...

Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation

Many complex real-world problems, such as climate change mitigation, are...

Beyond Bayes-optimality: meta-learning what you know you don't know

Meta-training agents with memory has been shown to culminate in Bayes-op...

A logic for reasoning about ambiguity

Standard models of multi-agent modal logic do not capture the fact that ...

Balancedness of Social Choice Correspondences

A social choice correspondence satisfies balancedness if, for every pair...

Assertion-based Approaches to Auditing Complex Elections, with application to party-list proportional elections

Risk-limiting audits (RLAs), an ingredient in evidence-based elections, ...

A statistical model to assess risk for supporting SARS-CoV-2 quarantine decisions

In February 2020 the first human infection with SARS-CoV-2 was reported ...

Please sign up or login with your details

Forgot password? Click here to reset