Embedding Ethical Principles in Collective Decision Support Systems
Authors: Joshua Greene, Francesca Rossi, John Tasioulas, Kristen Venable, Brian Williams
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We believe it is important to study the embedding of safety constraints, moral values, and ethical principles in agents, within the context of collective decision making systems in societies of agents and humans. |
| Researcher Affiliation | Collaboration | Joshua Greene Harvard University, USA Francesca Rossi University of Padova, Italy and IBM T.J. Watson, USA John Tasioulas King s College London, UK Kristen Brent Venable Tulane University and IMHC, USA Brian Williams MIT, USA |
| Pseudocode | No | The paper is theoretical and does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper is a conceptual and theoretical discussion; it does not mention releasing any source code or provide links to repositories. |
| Open Datasets | No | The paper is a conceptual work and does not use datasets for training, validation, or testing. |
| Dataset Splits | No | The paper is a conceptual work and does not use datasets for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not conduct experiments, thus no hardware specifications are provided. |
| Software Dependencies | No | The paper discusses conceptual frameworks (e.g., soft constraints, CP-nets) but does not provide specific software dependencies with version numbers for an implemented system. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details, including hyperparameters or training configurations. |