Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States
Abstract Automated systems increasingly determine what copyright consumers encounter on online platforms, by drawing insights from vast sources of personal data. This article considers how artificial intelligence (AI) could play a part in the dissemination of content and the copyright infringement...
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| Format: | Journal Article |
| Published: |
2022
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| Online Access: | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4259598 http://hdl.handle.net/20.500.11937/91744 |
| _version_ | 1848765584506880000 |
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| author | Foong, Cheryl |
| author_facet | Foong, Cheryl |
| author_sort | Foong, Cheryl |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Abstract
Automated systems increasingly determine what copyright consumers encounter on online platforms, by drawing insights from vast sources of personal data. This article considers how artificial intelligence (AI) could play a part in the dissemination of content and the copyright infringement rules or principles that should apply. If an AI system selects copyright content and that content is automatically communicated to the public without authorisation, should the platform proprietor be liable for the resulting infringement and on what basis?
The article analyses US and Australian copyright law on the right to communicate to the public and contrasts strict liability principles (such as volition) with fault-based secondary liability principles. Importantly, it analyses the policy considerations underlying these legal principles and critically evaluates the suitability of current laws to address automated communications.
This article explains how Australian law could draw from United States vicarious liability principles to address AI-facilitated communications, as such principles could bridge the gap between strict and fault liability. The principles provide a more nuanced approach that permits consideration of the characteristics of AI systems on a case-by-case basis, rather than casting a wide net that extends primary infringement to all choices delegated to AI systems. |
| first_indexed | 2025-11-14T11:37:34Z |
| format | Journal Article |
| id | curtin-20.500.11937-91744 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:37:34Z |
| publishDate | 2022 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-917442023-06-06T02:46:43Z Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States Foong, Cheryl Abstract Automated systems increasingly determine what copyright consumers encounter on online platforms, by drawing insights from vast sources of personal data. This article considers how artificial intelligence (AI) could play a part in the dissemination of content and the copyright infringement rules or principles that should apply. If an AI system selects copyright content and that content is automatically communicated to the public without authorisation, should the platform proprietor be liable for the resulting infringement and on what basis? The article analyses US and Australian copyright law on the right to communicate to the public and contrasts strict liability principles (such as volition) with fault-based secondary liability principles. Importantly, it analyses the policy considerations underlying these legal principles and critically evaluates the suitability of current laws to address automated communications. This article explains how Australian law could draw from United States vicarious liability principles to address AI-facilitated communications, as such principles could bridge the gap between strict and fault liability. The principles provide a more nuanced approach that permits consideration of the characteristics of AI systems on a case-by-case basis, rather than casting a wide net that extends primary infringement to all choices delegated to AI systems. 2022 Journal Article http://hdl.handle.net/20.500.11937/91744 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4259598 unknown |
| spellingShingle | Foong, Cheryl Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States |
| title | Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States |
| title_full | Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States |
| title_fullStr | Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States |
| title_full_unstemmed | Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States |
| title_short | Artificial Intelligence and the Right to Communicate to the Public in Copyright: Lessons from the United States |
| title_sort | artificial intelligence and the right to communicate to the public in copyright: lessons from the united states |
| url | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4259598 http://hdl.handle.net/20.500.11937/91744 |