Responsible practices for responsible libraries: The role of libraries in a world of generative AI
This presentation focuses on generative AI images and potential information literacy and ethical issues relating to the use and creation of AI images. Generative AI technology has made the creation and modification of images easier and more accessible to a layperson. However images are often overloo...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2023
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| Online Access: | https://ink.library.smu.edu.sg/library_research/206 https://ink.library.smu.edu.sg/context/library_research/article/1211/viewcontent/26_May_LAS_NLB_sharing_SAMANTHA_SEAH_archive_61_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | This presentation focuses on generative AI images and potential information literacy and ethical issues relating to the use and creation of AI images. Generative AI technology has made the creation and modification of images easier and more accessible to a layperson. However images are often overlooked in information literacy programmes despite growing evidence that people consume most information through visual and video formats thanks to the rise of social media platforms like TikTok. This presentation will consider ACRL’s framework for Information Literacy for Higher Education, whereby in looking at information creation as a process, we need to not only look through the lens of a consumer but as a creator as well.
While this presentation is centred on information literacy and ethical issues of AI images, there is potential for extensions of the same discussions to other forms of generated content. The presentation considers contemporary ethical debates around AI images and provides resources of ongoing debates, developments in copyright rulings around the world, and tools for evaluation of images to append current information literacy workshops and user education. This will help libraries advise users to use AI responsibly as well as consider potential copyright and data privacy issues that may impact how we want to adapt AI in our own library processes. A path to responsible AI relies not only on companies and AI engineers to develop transparent and trustworthy systems, but also an extension of social contracts into the digital space. |
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