The Force Awakens: Artificial Intelligence for Consumer Law
Authors: Marco Lippi, Giuseppe Contissa, Agnieszka Jablonowska, Francesca Lagioia, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni
JAIR 2020 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we envision a paradigm shift, where AI technologies are brought to the side of consumers and their organizations, with the aim of building an efficient and effective counter-power. ... We discuss the societal, political, and technological challenges that stand before that vision. |
| Researcher Affiliation | Academia | Marco Lippi EMAIL DISMI, University of Modena and Reggio Emilia... Giuseppe Contissa EMAIL CIRSFID, University of Bologna... Agnieszka Jab lonowska EMAIL University of Lodz... Francesca Lagioia EMAIL CIRSFID, University of Bologna and Law Department, European University Institute... Hans-Wolfgang Micklitz EMAIL Robert Schuman Centre for Advanced Studies European University Institute... Przemys law Pa lka EMAIL Yale Law School... Giovanni Sartor EMAIL CIRSFID, University of Bologna and Law Department, European University Institute... Paolo Torroni EMAIL DISI, University of Bologna |
| Pseudocode | No | The paper describes conceptual frameworks and challenges for AI in consumer law, referring to existing systems and general AI techniques, but does not present any pseudocode or algorithm blocks for its own methodology. |
| Open Source Code | No | The paper discusses various AI systems and approaches developed by others but does not provide any specific statement or link for the open-source code related to its own methodology or conceptual framework. |
| Open Datasets | No | The paper discusses various types of data that can be analyzed by AI tools and mentions existing datasets used by other works (e.g., 'a corpus of unlabeled privacy policies' used by Harkous et al., 2018), but it does not specify any particular dataset used in its own research or provide access information for a dataset that it produced or significantly utilized for its conceptual contributions. |
| Dataset Splits | No | The paper is a conceptual and visionary piece discussing the application of AI to consumer law, and as such, it does not involve running experiments on specific datasets nor does it provide any dataset split information. |
| Hardware Specification | No | The paper is theoretical and discusses conceptual advancements and challenges in AI for consumer law, without conducting experiments that would require specific hardware specifications. |
| Software Dependencies | No | The paper describes a conceptual framework and future directions for AI in consumer law and does not present an implemented system, thus no specific software dependencies with version numbers are provided. |
| Experiment Setup | No | The paper is a conceptual exploration of AI's role in consumer law, focusing on societal and technological challenges, and does not include experimental results, hyperparameters, or specific training configurations. |