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Hacking AI Chatbots for Critical AI Literacy in the Library.

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Title: Hacking AI Chatbots for Critical AI Literacy in the Library.
Authors: Ford, Heather1 (AUTHOR) heather.ford@uts.edu.au, Burrell, Andrew1 (AUTHOR), Monin, Monica1 (AUTHOR), Narayan, Bhuva1 (AUTHOR), Jethani, Suneel1 (AUTHOR)
Source: Journal of the Australian Library & Information Association. Mar2026, Vol. 75 Issue 1, p42-65. 24p.
Subject Terms: *Library science, *Information-seeking behavior, *Generative artificial intelligence, *Critical thinking, *Technological literacy, Hallucinations (Artificial intelligence), Digital technology, Sociotechnical systems
Abstract: AI is seeping into the fabric of our information environment as generative AI tools are increasingly used to search for and discover information. Despite their promise for improving efficiency, AI systems regularly produce errors (also known as 'hallucinations'), which demonstrate that uncertainty is a feature rather than a bug of such systems. Despite this problem, we regularly hear stories about people who have mistakenly used false information provided by these tools in their communications and outputs – from lawyers' reports to government hearings. There is wide agreement about the need for AI literacy to recognise how to use AI effectively and ethically but less consensus on how AI literacy is best achieved. A key component of many AI literacy frameworks is an understanding of how AI works. Using a case study of a critical AI literacy intervention in four Greater Sydney libraries, we argue that instead of learning only about how AI works, AI literacy might involve learning when, how, and why AI doesn't work. The concept of socio-technical error and uncertainty is a useful heuristic for understanding AI – particularly in the context of information search and discovery, a primary practice in both public and academic libraries. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Australian Library & Information Association is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
An: 191801978
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PubType: Academic Journal
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  Data: Hacking AI Chatbots for Critical AI Literacy in the Library.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Australian+Library+%26+Information+Association%22">Journal of the Australian Library & Information Association</searchLink>. Mar2026, Vol. 75 Issue 1, p42-65. 24p.
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  Data: *<searchLink fieldCode="DE" term="%22Library+science%22">Library science</searchLink><br />*<searchLink fieldCode="DE" term="%22Information-seeking+behavior%22">Information-seeking behavior</searchLink><br />*<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Critical+thinking%22">Critical thinking</searchLink><br />*<searchLink fieldCode="DE" term="%22Technological+literacy%22">Technological literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Hallucinations+%28Artificial+intelligence%29%22">Hallucinations (Artificial intelligence)</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Sociotechnical+systems%22">Sociotechnical systems</searchLink>
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  Data: AI is seeping into the fabric of our information environment as generative AI tools are increasingly used to search for and discover information. Despite their promise for improving efficiency, AI systems regularly produce errors (also known as 'hallucinations'), which demonstrate that uncertainty is a feature rather than a bug of such systems. Despite this problem, we regularly hear stories about people who have mistakenly used false information provided by these tools in their communications and outputs – from lawyers' reports to government hearings. There is wide agreement about the need for AI literacy to recognise how to use AI effectively and ethically but less consensus on how AI literacy is best achieved. A key component of many AI literacy frameworks is an understanding of how AI works. Using a case study of a critical AI literacy intervention in four Greater Sydney libraries, we argue that instead of learning only about how AI works, AI literacy might involve learning when, how, and why AI doesn't work. The concept of socio-technical error and uncertainty is a useful heuristic for understanding AI – particularly in the context of information search and discovery, a primary practice in both public and academic libraries. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of the Australian Library & Information Association is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/24750158.2026.2614000
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        Text: English
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        PageCount: 24
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      – SubjectFull: Library science
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      – SubjectFull: Information-seeking behavior
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      – SubjectFull: Generative artificial intelligence
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      – SubjectFull: Critical thinking
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      – SubjectFull: Hallucinations (Artificial intelligence)
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      – SubjectFull: Sociotechnical systems
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      – TitleFull: Hacking AI Chatbots for Critical AI Literacy in the Library.
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              Text: Mar2026
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