Abstract
Using Internet Service Provider 'Big' metadata as a case study, we examine legal and ethical issues with machine learning Big Data tools developed and deployed in Australia for law enforcement intelligence purposes. In order to do this, we outline the benefits, limitations and risks of these tools, analyze current methods for de-identification and anonymisation, and discuss necessary safeguards.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 15th International Conference on Artificial Intelligence and Law (ICAIL 2015), University of San Diego School of Law, San Diego, 8 - 12 June, 2015 |
| Publisher | ACM |
| Pages | 196-200 |
| Number of pages | 5 |
| ISBN (Print) | 9781450335225 |
| Publication status | Published - 2015 |
| Event | International Conference on Artificial Intelligence and Law - Duration: 8 Jun 2015 → … |
Conference
| Conference | International Conference on Artificial Intelligence and Law |
|---|---|
| Period | 8/06/15 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- big data
- criminal investigation
- law enforcement
- machine learning
- metadata
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