Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility
Authors: Joseph Halpern, Max Kleiman-Weiner
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We provide formal definitions of degree of blameworthiness and intention relative to an epistemic state (a probability over causal models and a utility function on outcomes). These, together with a definition of actual causality, provide the key ingredients for moral responsibility judgments. We show that these definitions give insight into commonsense intuitions in a variety of puzzling cases from the literature. |
| Researcher Affiliation | Academia | Joseph Y. Halpern Dept. of Computer Science Cornell University Ithaca, NY 14853 halpern@cs.cornell.edu Max Kleiman-Weiner Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MA 02139 maxkw@mit.edu |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statements about releasing source code or links to a code repository for the described methodology. |
| Open Datasets | No | The paper is theoretical and focuses on formal definitions, not on empirical experiments requiring datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not report on experiments or use any specific datasets that would require training, validation, or test splits. |
| Hardware Specification | No | The paper is theoretical and does not involve experimental work, therefore no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe software implementations or dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and focuses on formal definitions, not on experimental setup details. |