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Artificial Intelligence (AI): Personal Responsibility

The words about this flowchart were generated by Gemini.

AI Tool Acknowledgment Form

This AI flowchart can be useful to communicate essential information literacy skills as they relate to generative AI. By prompting users with critical questions about truth, accuracy, copyright, and personal responsibility, the guide serves to educate individuals on the ethical implications and inherent limitations of AI tools, moving beyond usage to fostering a responsible and discerning approach. It empowers users to make informed decisions by providing a clear framework for evaluating specific AI applications, thereby supporting academic and professional integrity while mitigating potential risks such as misinformation or copyright infringement. Librarians can utilize accessible visual tools to proactively address the challenges of new technologies, positioning the library as a crucial resource for navigating the evolving digital landscape and promoting critical engagement with AI-generated content.

Promoting Information Literacy in the AI Age: Just as librarians teach how to evaluate traditional sources, they now need to teach how to evaluate AI-generated content. This flowchart is a practical tool for developing critical thinking skills specifically for AI. It moves beyond simply "using AI" to "using AI responsibly and discerningly."

Educating on Ethical AI Use: The flowchart directly addresses ethical considerations like copyright, accuracy, and responsibility. Librarians are often at the forefront of discussions about academic integrity and ethical research. This guide provides clear, actionable steps for users to consider these ethics before and during AI use.

Highlighting the Limitations of AI: Many users might assume AI is always correct or can replace human expertise entirely. The flowchart challenges these assumptions by asking crucial questions about truth, verification, and responsibility, thereby setting realistic expectations about AI's current capabilities and limitations.

Empowering Informed Decision-Making: Instead of just telling users "don't use AI for X," this flowchart empowers them to make their own informed decisions. It provides a framework for evaluating their specific use case against important criteria, leading to a more nuanced understanding of AI application.

Supporting Academic and Professional Integrity: In academic settings, the use of AI raises questions about originality, plagiarism, and proper citation. This flowchart encourages acknowledgment of AI use and careful review, which are vital for maintaining academic and professional standards.

Mitigating Risks (Legal, Academic, Personal): By prompting users to consider copyright, accuracy, and responsibility, the flowchart helps them identify situations where AI use could lead to legal issues (copyright infringement), academic penalties (plagiarism, misinformation), or personal harm (acting on inaccurate medical or legal advice).

Providing a Clear and Accessible Guide: Flowcharts are excellent visual tools for breaking down complex decision processes into manageable steps. This makes the information more accessible and less intimidating than a lengthy policy document, encouraging wider adoption and understanding.

Adapting to Evolving Technologies: Librarians are continuously adapting their services and resources to new technologies. Sharing a guide like this demonstrates a proactive approach to addressing the challenges and opportunities presented by generative AI, positioning the library as a relevant and essential resource for navigating the modern information landscape.

Facilitating Discussion and Policy Development: This type of guide can serve as a starting point for broader discussions within an institution (university, school, company) about AI policies, guidelines, and best practices. It helps to frame the critical questions that need to be considered.