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Resources for Instruction/Teaching Librarians

  • AI Use Disclaimer: example language

I acknowledge the use of ChatGPT 3.5, July 20 version (https://chat.openai.com/) to generate a case study about the challenges of sustainability and labor ethics in the chocolate industry. I entered the following prompt on August 1, 2023:

"Create a case study over the operations of a chocolate company detailing the challenges of managing chocolate supply chains in both a sustainable and ethical manner. Identify key challenges. Propose potential solutions, but do not commit to any single approach. Conclude by with questions for students to consider about how they would proceed."
The output from these prompts was used as the case study for the assignment which was then analyzed in the remaining portion of the assignment.
Barnard College A Framework for AI Literacy | EDUCAUSE Review


AI Literacies

Prompt Literacy 

This section has been adapted from GenAI in Teaching and Learning Toolkit by Gwen Nguyen used under a CC-BY-NC 4.0 International License.

Prompt literacy refers to the proficiency in formulating initial prompts (information, sentences, or questions that you enter into a GenAI tool) and follow-up queries that clearly, precisely, and unambiguously communicate the user's requirements to a GenAI tool. In educational settings, well-designed prompting can transform how content is delivered, personalized, and assessed, making it an integral part of digital pedagogical strategies.

When creating prompts, imagine that you're explaining a task to a smart assistant. Here is a step-by-step guide:

        • Provide Full context: begin by setting the scene for your request
        • Detail your specific needs: clearly articulate what you need from GenAI.
        • Specify the desired format: indicate the format in which you'd like the response.
        • Include relevant parameters: mention any specific requirements or constraints.

Additional Resources:


Key principles of effective prompt design:

        • Clarity: use simple, straightforward language.
        • Specificity: provide detailed instructions and parameters
        • Context: offer background information and relevant details
        • Structure: organize prompts logically and coherently
        • Iteration: refine prompts based on initial outputs

Activities:


Librarians & AI

The information from this section has been adapted from Artificial Intelligence and Librarianship by Martin Fricke used under a CC-BY license.

Librarians as Sentries

Librarians can help to create suitable ethical systems, laws, and policies to protect users and creators of Machine Learning (ML):

  1. Copyright and intellectual property - Intellectual Freedom interacts with restrictions of privacy, intellectual property, state secrets, and so forth.
  2. Bias Management - Librarians have experience dealing with collection development, collection description, instruction, and research support, which all can arise in Machine Learning and information provision.
  3. Monitoring techniques to improve search - Methods associated with personalization and recommendation impinge on privacy. When doing a search, providing recommendations is filtering, which can lead to information silos or bubbles. Librarians can help to break those down.
  4. Intellectual Freedom - Machine Learning systems could very easily work in a paternalist way by 'protecting' users from potentially harmful or offensive or false content. But what one person considers harmful, another could consider helpful; librarians can help to manage the machine learning systems so that user rights are protected.
  5. Inadvertent censorship - Librarians can help to ensure that their is no accidental censorship by machine learning systems.

Librarians as Educators

 Librarians can help to educate AI users in a variety of areas:

  1. Information Literacy: Librarians are the experts in information literacy. AI does not give any attention to information literacy, so Librarians can fill that vacuum.
  2. Data Literacy and Data Science Fluency: Librarians can help researchers in managing their data, as well as alert users to the strengths and weaknesses of Automated Decision Making.
  3. Better Informed Citizens and Intelligent Consumers of Information: Librarians can help users to better understand Machine Learning and computational aspects of the digital world.
  4. Privacy: Librarians can help to keep users informed of the many ways that their information is collected and potentially shared. 
  5. AI Literacy: Librarians can help users understand AI and how they can incorporate usage into their daily life.

TEST


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