Understanding Generative AI (GenAI) Tutorial

The video, What are Large Language Models, uses words like understand and conversation when referring to what LLMs can do. However, it is important to note that while LLMs employ advanced algorithms to decode language, they do not possess human-like understanding or conversational abilities. Similar to Generative Adversarial Networks (GANs), LLMs learn through trial and error until they can generate outputs that replicate or mimic true meaning. But, the outputs may not be true or accurate. LLMs are prone to "hallucinations," meaning they will generate confident or authoritative responses even when inaccurate because they cannot comprehend truth or meaning; they merely generate responses based on learned patterns.

If Large Language Models are prone to hallucinations, what does this mean for you, the end user?

• How might the use of generative AI in academic writing impact the integrity of your work?
• What biases might be embedded in generative AI outputs that affect your decision-making?
• What role does critical thinking play in your ethical and responsible use of generative AI?

The use of generative AI in university raises significant ethical dilemmas. A few major concerns are

• Plagiarism - Since AI-generated content resembles human writing so closely, it may be difficult to resist using it in your academic writing without permission or proper attribution.
• Bias - The content generated by generative AI can perpetuate biases from its training data, posing challenges to diversity and inclusion.
• Copyright Infringement - The use of AI-generated content can lead to copyright infringement if used without proper attribution or without verifying the source of the original content.
• Privacy - Students might inadvertently share personal, confidential or sensitive information, unaware of the extent to which the information is used, shared or stored by the AI.
  

While these are significant challenges, with proper oversight, GenAI can be used in an ethical and responsible way. Complete the activities below to test your understanding of (i) the ethical dilemmas GenAI poses for learning in university and (ii) some of the strategies you can adopt to use it ethically and responsibly.

To learn more about these and other ethical considerations, see the section on Using Generative AI in the Library's GenAI Guide.

Ethical Dilemmas GenAI Poses for Learning in University

Strategies You Can Adopt to Use GenAI Ethically and Responsibly