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AI @ CSI: A Resource for Artificial Intelligence

What is AI?

Artificial intelligence (AI) refers to the capacity of computers or other machines to perform tasks that typically require human intelligence such as reasoning, problem-solving, and decision-making. AI systems use algorithms and computational techniques to process large volumes of data, extract patterns, and make predictions or decisions based on those patterns.

Generative artificial intelligence is a specific subset of AI focused on creating content such as text, images, video, music, and other outputs in response to user input (or prompts). Generative AI models are designed to learn the patterns and structure of their input training data and generate new data with similar characteristics. Because generative AI tools can quickly and easily generate a wide variety of human-like outputs, they have the potential to radically transform the way we approach content creation across a wide range of domains and industries. However, because AI outputs are derived from undocumented data sources, infringe on intellectual property, and are prone to error, they are also subject to a number of important limitations. *

* Taken From Rutgers University

Best Practices

How Do Students Use AI Faculty Use of AI for Teaching Research Administration Under the Hood Universal Design

Use of AI for students can be advantageous to the learning experience. Some examples:

AI and Assessment: Where We Are Now | AACSB
Temple, students use free ChatGPT accounts when they brainstorm and write rough drafts. As part of their assignments, students must submit transcripts of their conversations with ChatGPT as well as reflections on how the process worked and whether the tool was helpful.

Also at Temple, students use ChatGPT to summarize a case. Then they add line-by-line comments about where they agree and disagree with the chatbot, before making a final analysis. As an additional step, student peers review each other’s work.

AI can be beneficial in helping instructors create rubrics and improve the quality of their course syllabus and assignments. Leverage AI as a toolbox (Edge.net 2024).  Teachers are the experts, but I can assist by finding new ways to improve the learning experience. “AI is not a search engine; it is more like a knowledgeable colleague. Using it is more about prompt engineering and having a conversation that fine tunes the results. Faculty should see AI as an idea generator that could be leveraged and helpful with many aspects of the classroom and beyond (Watson, 2024).

Faculty Guidance 

AI in Teaching and Learning 

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AI applications need to be useful—and fair—in the classroom, but is must also be equally accessible to all students, so no one is disadvantaged by having to use it. It’s also critical that the tool doesn’t create so much anxiety among students that it has a negative impact on the learning experience. For example, you need to take into consideration students who can afford to pay for GPT-4 versus students who only have access to the free version.

Considerations and Resources

Ethical Considerations AI Tools Avalable Data Privacy and Sharing Who is Using it @ CSI? Resources What Does the Future Look Like?

AI and Assessment: Where We Are Now | AACSB
AI allows students to cheat outside of test-taking, such as when they use chatbots to help them write papers and prepare assignments. Consider creating different types of assignments. For instance, instead of asking students simply to summarize information—which any chatbot can do—how about having students analyze the summaries.

Don’t focus on how to stop, limit, prevent, or detect when students are doing bad things? Alternatively, schools use AI in assessments—and allow students to use AI in coursework.

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Faculty/Research 

Administration 

  • Programmers