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Artificial Intelligence (AI) Literacy

Presentation Overviews

AI Literacy Workshop Series: Fall 2024

This series of workshops aims to enhance students' understanding of AI and its applications in academic settings. Each workshop is presented twice:

  • Tuesdays: 7:00 - 7:30 PM
  • Wednesdays: 2:30 - 3:00 PM
    All sessions are conducted live via Zoom.

Overview of AI Literacy

AI literacy is crucial for college students as it:

  • Enhances critical thinking skills in the digital age
  • Prepares students for future careers increasingly influenced by AI
  • Enables effective use of AI tools for academic and professional tasks
  • Promotes responsible and ethical engagement with AI technologies

Workshop Summaries and Learning Objectives

1. Generative AI Overview:

  • Introduces the concept of generative AI
  • Explores its ability to create new content based on large datasets
  • Discusses its impact on academic and professional futures

Learning Objectives:

  • Define generative AI and its core principles
  • Identify potential applications of generative AI in various fields
  • Analyze the implications of generative AI for future careers

2. AI Tools:

  • Provides an overview of AI tools beneficial for higher education
  • Offers resources for finding appropriate AI tools

Learning Objectives:

  • Identify various AI tools relevant to academic tasks
  • Evaluate the suitability of different AI tools for specific needs
  • Locate and utilize resources for discovering new AI tools

3. AI Prompt Engineering:

  • Explains the concept of prompt engineering for generative AI models
  • Offers tips and resources for effective prompt creation

Learning Objectives:

  • Define prompt engineering and its importance
  • Construct effective prompts for generative AI models
  • Apply prompt engineering techniques to obtain desired outputs

4. Ethics and Misinformation:

  • Explores AI ethics and the challenge of AI-generated misinformation
  • Guides responsible AI use and output evaluation

Learning Objectives:

  • Recognize ethical considerations in AI development and use
  • Identify potential sources of AI-generated misinformation
  • Apply critical thinking skills to evaluate AI-produced content

5. Researching with AI:

  • Compares traditional research methods with AI-assisted approaches
  • Focuses on integrating AI technologies into the research process

Learning Objectives:

  • Differentiate between traditional and AI-assisted research methods
  • Identify opportunities to incorporate AI tools in various research stages
  • Develop strategies for effectively combining traditional and AI-powered research techniques

Fall 2024 Deeper Look series on AI for BC faculty and staff:

  • Series focuses on AI Literacy and its impact on higher education
  • Aims to provide a thorough overview of AI-related resources and initiatives, highlighting their contributions to the BC community and course curriculum.
  • Three 30-minute presentations, held on the second Tuesday of each month at 2pm via Zoom

AI Literacy in Higher Education:

  • Crucial for faculty and staff to understand AI capabilities and limitations
  • Impacts teaching methods, research practices, and administrative processes
  • Raises ethical considerations and questions about academic integrity

Presentations:

  1. Library AI Resources and AI Literacy offerings
    Learning objectives:
    • Identify AI-related resources available through the BC Library
    • Understand the concept of AI literacy and its importance in academia
    • Explore ways to incorporate AI literacy into curriculum and professional development
  2. Prompt Engineering
    Learning objectives:
    • Define prompt engineering and its relevance to AI interactions
    • Learn techniques for crafting effective prompts for AI tools
    • Practice creating prompts for various academic and administrative tasks
  3. Researching with AI
    Learning objectives:
    • Compare traditional research methods with AI-assisted research
    • Explore AI tools that can enhance the research process
    • Discuss ethical considerations when using AI for academic research