Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour
Authors: Andrea Aler Tubella, Andreas Theodorou, Frank Dignum, Virginia Dignum
IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we present an approach to evaluate the moral bounds of an AI system based on the monitoring of its inputs and outputs. We place a Glass-Box around the system by mapping moral values into explicit veriļ¬able norms that constrain inputs and outputs, in such a way that if these remain within the box we can guarantee that the system adheres to the value. [...] In the penultimate section we provide an example of how our approach can be applied to a real-world intelligent system. |
| Researcher Affiliation | Academia | Andrea Aler Tubella , Andreas Theodorou , Frank Dignum and Virginia Dignum Ume a University {andrea.aler, andreas.theodorou, frank.dignum, virginia.dignum}@umu.se |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. It describes the two stages of the Glass-Box approach conceptually, accompanied by a diagram (Figure 1). |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. It is a conceptual paper outlining an approach. |
| Open Datasets | No | The paper presents a conceptual approach and illustrates it with a use case (mortgage decisions) rather than conducting experiments on a dataset. Therefore, no information on public datasets for training is provided. |
| Dataset Splits | No | The paper does not describe experiments with data. Consequently, there are no training, validation, or test dataset splits mentioned. |
| Hardware Specification | No | The paper is conceptual and does not describe running experiments. Therefore, no specific hardware specifications are mentioned. |
| Software Dependencies | No | The paper does not describe running experiments or implementing software that would require specific dependencies with version numbers. |
| Experiment Setup | No | The paper describes a conceptual framework and a use case, but does not detail an experimental setup, hyperparameters, or system-level training settings. |