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Creating Generative AI Policies - A Guide for Public and Academic...

Category: Other
Type: E-Books
Language: English
Total Size: 1.9 MB
Uploaded By: freecoursewb
Downloads: 34225
Last checked: Aug. 31st '26
Date uploaded: Aug. 31st '26
Seeders: 24872
Leechers: 10689
INFO HASH: 14D18AFF85BAA94A165FF27897AAC6CA4CE6ADE3

Creating Generative AI Policies: A Guide for Public and Academic Libraries

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English | 2026 | ASIN: B0GJCCN4GN | 55 Pages | PDF (True) | 2 MB

Though it's challenging to set policies for a technology that is so young and still in flux, the need is urgent. Because usage of AI presents both opportunities and risks, libraries must be proactive. The WEF (World Economic Forum) predicts that while there may be a loss of 92 million jobs to various AI tools, they see 170 million new jobs and roles emerging from the use of this new technology. Whether or not this proves correct, there are already digital literacy skills, including a basic understanding of the technology around AI, that libraries can help their patrons master; and because of data privacy, security, and ethics issues, library workers require clear AI policies too. Technology expert Hastings highlights the first attempts of libraries across the country to set up policies for the use of AI in their organizations, as well as policies created by cities and other similar institutions, to guide stakeholders in creating their own smart, forward-thinking course of action. Succinct and pragmatic, this timely resource provides a short overview of Generative AI history, basic technical knowledge, and the key arguments put forth by those in favor and those opposed to this technology; offers advice on discovering how library staff encounter AI in their day-to-day work, both in their own usage and by patrons, to inform what policies the library needs and which policies to consider adjusting for particular use cases; includes separate chapters focusing on staff-side policy and patron/public-facing policy, delving into essential considerations like staff training, privacy and data protection, security

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