This module serves as an introduction to Artificial Intelligence (AI) for students and faculty at CUNY. It provides an understanding of what AI is and what it is not, ethical considerations in academia, copyright concerns, best practices for prompting, and how AI can be integrated into the curriculum for workforce preparedness.
Module Questions:
- What does AI primarily aim to simulate?
- A) Human emotions
- B) Human intelligence
- C) Physical strength
- D) Random behavior
- True or False: AI has its own independent thoughts and emotions.
- What is a common misconception about AI?
- A) AI can generate new knowledge on its own
- B) AI requires large amounts of data to learn
- C) AI is used in automation and efficiency improvements
- D) AI is limited to just robotics
- What is one ethical concern related to AI in academia?
A) AI eliminates the need for research
B) AI always provides unbiased results
C) AI-generated content can contribute to plagiarism
D) AI completely replaces faculty members - True or False: AI can eliminate all human bias in decision-making.
- Who is responsible for AI-generated work in academia?
- A) The AI itself
- B) The user prompting the AI
- C) The software developers
- D) AI has no ownership
- True or False: AI-generated content always falls under public domain.
- Why is it important to refine AI prompts?
- A) Accept all AI-generated content as fact
- B) Verify sources and cross-check information
- C) Use AI to replace all human analysis
- D) Avoid using AI altogether
- How can AI be integrated into education?
A) As a brainstorming tool
B) By replacing all human teachers
C) By eliminating critical thinking
D) AI cannot be used in education - True or False: AI skills will be irrelevant for the future workforce.
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