Abstract
Artificial intelligence (AI) has captured the attention of copyright lawyers fascinated by the thought of machines creating works of art, music and literature. There is no doubt that, as has often happened in the past during previous waves of technological advances, AI platforms – and especially, machine learning – have brought with them new opportunities as well as challenges. Machine learning is an AI application enabling programs to learn and progress automatically from experience. Its main feature is accessing data and often using it for the purpose of creating outputs, including music, literature, movies and art. Amounts of data are observed and analysed by the machine, which enables the latter to learn and then make creative decisions leading to final outputs that, as precise works of art, are often not foreseeable by the people who developed and started the initial program. Such a process is characterised by the absence of substantial human intervention or assistance after the program is operated, and by using algorithms – namely a sequence of instructions aimed at solving a problem or performing a computation. This can be labelled ‘algorithmic creativity’, that is, the way by which AI creates new works.
Original language | English |
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Title of host publication | The Cambridge Handbook of Investment-Driven Intellectual Property |
Editors | Enrico Bonadio, Patrick Goold |
Place of Publication | Cambridge |
Publisher | Cambridge University Press |
Chapter | 4 |
Pages | 73-85 |
Number of pages | 13 |
ISBN (Electronic) | 9781108989527 |
ISBN (Print) | 9781108839198 |
DOIs | |
Publication status | Published - 23 Mar 2024 |