Privacy and Autonomous Systems
Authors: Jose M. Such
IJCAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We discuss the problem of privacy in autonomous systems, introducing different conceptualizations and perspectives on privacy to assess the threats that autonomous systems may pose to privacy. After this, we outline technical and legal measures that should be put in place to mitigate these threats. Beyond privacy threats and countermeasures, we also argue how autonomous systems may be, at the same time, the key to address some of the most challenging and pressing privacy problems nowadays and in the near future. |
| Researcher Affiliation | Academia | Jose M. Such Department of Informatics King s College London Strand, London, UK jose.such@kcl.ac.uk |
| Pseudocode | No | The paper is a conceptual discussion and does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any links to or statements about the availability of open-source code for the methodology or work described. |
| Open Datasets | No | The paper is conceptual and does not involve the use of datasets for training or experimentation. It mentions examples of data collection by autonomous systems but not for its own research. |
| Dataset Splits | No | The paper is conceptual and does not involve empirical experiments or dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is a conceptual discussion and does not involve experiments requiring specific hardware specifications. |
| Software Dependencies | No | The paper is a conceptual discussion and does not involve software implementation details or dependencies with version numbers. |
| Experiment Setup | No | The paper is a conceptual discussion and does not include details about an experimental setup or hyperparameters. |