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Generative AI at UVA: A Comprehensive Guide for Students and Faculty

Overview and practical guidance
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This guide from the University of Virginia Library provides a comprehensive overview of generative AI, focusing on its ethical use, documentation, and practical application within the academic context. It details specific AI tools licensed by UVA, such as Microsoft Copilot Chat and Consensus, and outlines university-specific policies and resources for faculty and students. The guide aims to help users navigate the complexities of generative AI in higher education.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Comprehensive coverage of generative AI in an academic setting.
    • 2
      Clear guidance on ethical considerations and citation practices.
    • 3
      Detailed information on UVA-specific AI tools and resources.

  • • unique insights

    • 1
      Focus on university-specific policies and support structures for generative AI.
    • 2
      Practical advice tailored for students and faculty navigating AI in scholarship.

  • • practical applications

    • Provides actionable guidance for students and faculty at UVA on understanding, using, and citing generative AI tools responsibly within an academic framework.

  • • key topics

    • 1
      Generative AI
    • 2
      Ethical Use of AI
    • 3
      Academic Integrity
    • 4
      AI Tools at UVA
    • 5
      Citation Practices

  • • key insights

    • 1
      Centralized resource for understanding generative AI within the UVA academic community.
    • 2
      Guidance on navigating university-specific policies and licensed AI tools.
    • 3
      Support for responsible and ethical integration of AI into academic work.

  • • learning outcomes

    • 1
      Understand the ethical considerations of using generative AI in academic work.
    • 2
      Learn how to cite AI-generated content appropriately.
    • 3
      Identify and access generative AI tools licensed by the University of Virginia.
    • 4
      Comprehend UVA's policies and resources related to generative AI.
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“ Introduction to Generative AI at UVA

Generative AI refers to artificial intelligence systems capable of creating new content, such as text, images, music, or code, based on the data they have been trained on. Unlike traditional AI that might analyze or classify existing data, generative AI produces novel outputs. Understanding the fundamental principles behind these tools is crucial for their effective and ethical application in academic pursuits. This section of the guide provides foundational knowledge to help users grasp the capabilities and limitations of generative AI.

“ Ethical Considerations and Responsible Use

A critical aspect of using generative AI involves understanding copyright and intellectual property rights. This section explores the complexities surrounding ownership of AI-generated content and the potential infringement issues related to the data used for training AI models. It provides insights into how these legal frameworks apply in an academic context, offering guidance on navigating these challenges to ensure compliance and protect intellectual assets. Users will find information to help them make informed decisions regarding the use and creation of AI-assisted content.

“ Navigating Generative AI Tools at UVA

The University of Virginia is actively exploring the role of generative AI in teaching and learning. This section outlines various university-wide initiatives and resources dedicated to this exploration. It points to the Teaching Hub for practical steps on integrating AI into courses, the AI Exchange @ UVA for cross-disciplinary discussions, and the Darden School's Intelligence Initiative for insights into AI's impact on business and education. Information on faculty AI guides and syllabus statements provides examples of how AI is being addressed in course design and policy.

“ Research Integrity and AI Usage

Currently, UVA's approach to explicit AI policies is decentralized, with individual faculty and departments determining their specific guidelines for AI use in courses. This section clarifies this stance and directs users to consult individual course syllabi for detailed information. It also references FAQs from the Office of the Provost, offering guidance on appropriate uses of generative AI tools in teaching and learning. The UVA Honor Committee is also actively addressing AI-related concerns, aiming for an open-minded and community-based approach.

 Original link: https://guides.lib.virginia.edu/genai

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