Ethical Dilemmas for Adaptive Persuasion Systems
Authors: Oliviero Stock, Marco Guerini, Fabio Pianesi
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments we have conducted address the type of persuader, the strategies adopted and the circumstances. We also show that the prevailing preconceived negative attitude toward persuasion by a machine is not predictive of actual moral acceptability judgement when subjects are confronted with specific cases. In two recent studies, we have taken the first steps towards addressing this research program by designing and executing experiments adopting the moral dilemma paradigm. |
| Researcher Affiliation | Academia | Oliviero Stock, Marco Guerini, Fabio Pianesi FBK-Irst Via Sommarive 18, Trento I-38123 Italy stock@fbk.eu, guerini@fbk.eu, pianesi@fbk.eu |
| Pseudocode | No | The paper describes the experimental design and procedure in text, but does not include any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statements about the release of source code for the methodology described, nor does it include links to a code repository. It refers to previous papers for presentation of results or related work. |
| Open Datasets | No | The paper describes conducting experiments with human subjects and collecting their responses to stimuli (e.g., 'The stimuli were administered to 124 undergraduate students...'), but it does not utilize or provide access information for any publicly available or open datasets typically used in machine learning or AI. |
| Dataset Splits | No | The paper describes studies with human subjects and their assignment to experimental conditions (e.g., 'Each subject was randomly assigned to one of the two levels of the agent factor.'), but it does not refer to training, validation, or test dataset splits for model evaluation or reproduction, as the studies are behavioral experiments, not computational model training. |
| Hardware Specification | No | The paper describes behavioral experiments with human subjects and does not involve computational models or systems that would require hardware specifications for training or inference. |
| Software Dependencies | No | The paper describes behavioral experiments with human subjects and does not mention specific software dependencies or versions required to replicate a computational experiment. |
| Experiment Setup | Yes | The whole resulted in a 2*3*4 mixed between-within design, with 24 conditions each realized by means of textual stimuli produced through the instantiation of general templates. Each subject was randomly assigned to one of the two levels of the agent factor. For each stimulus, subjects were asked to say whether they found it morally acceptable that the agent (depending on the assigned group) used the specific communicative act contained in the stimulus. |