Artificial intelligence (AI) applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon, and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (e.g., ChatGPT and AI art), automated decision-making, and competing at the highest level in strategic game systems (such as Chess and Go).
Generative artificial intelligence (GenAI) is a creative tool that will form written or visual content. The content is generated when the user gives the tool written prompts. Popular GenAI include ChatGPT, Google Bard and Bingchat for written content, and Midjourney and DALL-E for image generation.
These open GenAI models scrape the internet to access and use all sorts of data – and the concern for copyright owners is that they often do this without permission, acknowledgement or compensation to the creators and copyright owners of the material used. It's therefore important to understand that the use of copyright works as inputs to GenAI models without authorisation or remuneration to creators and publishers can result in infringement.
Restrictions on use of AI and electronic library resources
The library has agreed to the following 'terms and conditions of use' of our e-resources. Therefore when you use our electronic library resources (databases, ebook collections, standards etc.) you may not:
Photo by Google DeepMind on Unsplash
Artifical Intelligence and Copyright - August 2023 (Copyright Licensing New Zealand)
Artifical Intelligence Position Statement - October 2023 (Copyright Licensing New Zealand)
New Zealand copyright in works created by artificial intelligence - June 2023 (AJ Park, IP Lawyers)
New Zealand copyright and artificial intelligence - 22 June 2023 (AJ Park, IP Lawyers)
Academic Integrity Procedures - 18 May 2023 (Academic Committee, Whitireia & WelTec)
APA Referencing: AI and ChatGPT - 5 March 2024 (Library, Whitireia & WelTec)
Authorship and AI tools: COPE position statement - 13 February 2023 (COPE, Committee on Publication Ethics)
Munn, L. (2023). The five tests: Designing and evaluating AI according to indigenous Māori principles. AI & Soc. https://doi.org/10.1007/s00146-023-01636-x
Trafford, W. (2023, May 30). Whose history will be told, asks Māori data scientist. NZ Herald. https://www.nzherald.co.nz/kahu/ai-concerns-whose-history-will-be-told-asks-maori-data-scientist/FZX2K7TG2BCGDDA5VEJMYBMLOQ/
Te Mana Raraunga/Data Sovereignty - Information on the Te Ao Māori guide.