Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1]
Viewpoint: Human-in-the-loop Artificial Intelligence
Authors: Fabio Massimo Zanzotto
JAIR 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Viewpoint: Human-in-the-loop Artificial Intelligence. In this paper, we propose Human-in-the-loop Artificial Intelligence (Hit AI) as a fairer paradigm for AI systems. This paper proposes Human-in-the-loop Artificial Intelligence (Hit AI) as a novel paradigm for a responsible Artificial Intelligence. The paper primarily discusses conceptual frameworks and proposals rather than presenting empirical studies or experimental results. |
| Researcher Affiliation | Academia | Fabio Massimo Zanzotto EMAIL University of Rome Tor Vergata |
| Pseudocode | No | No pseudocode or algorithm blocks were found in the paper. The paper is a conceptual viewpoint and does not describe specific algorithms in a structured code-like format. |
| Open Source Code | No | The paper discusses a conceptual framework and does not describe a specific methodology that would involve source code. There is no mention of code release, repository links, or supplementary materials containing code. |
| Open Datasets | No | The paper is a viewpoint and theoretical discussion on Human-in-the-loop AI and does not present experiments utilizing specific datasets. Therefore, no information about open datasets used by the authors is provided. |
| Dataset Splits | No | The paper is a theoretical viewpoint and does not describe any experiments that would involve dataset splits. |
| Hardware Specification | No | The paper is a conceptual work and does not describe any experiments that would require specific hardware specifications (e.g., GPU/CPU models, memory details). |
| Software Dependencies | No | The paper is a theoretical viewpoint and does not describe any experiments that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is a theoretical viewpoint and does not describe any experiments that would require specific experimental setup details or hyperparameters. |