Explore this page to learn the basics of GenAI, its applications in teaching and learning, its limitations and risks, and Humber’s stance on its use.
Note: This is a living document. Humber will continue to adapt this resource as new topics and issues arise due to the rapidly changing landscape of Generative Artificial Intelligence (GenAI).
Artificial intelligence (AI) systems have become powerful tools that we use regularly in our professional and personal lives. Spelling and grammar checkers, auto correct with predictive language cues as we text, automatic live captions, or written transcriptions when we livestream are just some of the ways in which artificial intelligence makes our lives and our work faster and easier.
Emerging generative AI (GenAI) tools like ChatGPT offer groundbreaking opportunities to harness technology in new and exciting ways. In education, these tools present new possibilities that are challenging the status quo and driving teaching and learning innovation. Given the capabilities of AI applications, we also need to set clear guidelines on how to use AI responsibly, ethically, and productively in academic settings, both to uphold the principles of academic integrity and to prepare learners for AI integration in their future careers.
Before exploring the content, take a moment to complete this short quiz. This will help you assess your existing knowledge of Generative AI (GenAI) and Humber GenAI Policy.
Generative AI (GenAI) is a specialized area within the field of Artificial Intelligence (AI) that incorporates Large Language Models (LLM) and employs algorithms that can replicate human generated text, code, music, images, and multi-media by processing extensive datasets and then predicting an expected output based on human prompts. Tools that employ Generative AI, such as ChatGPT, are becoming increasingly accessible and have already begun to profoundly influence teaching, learning, educational methods, and content.
As GenAI continues to evolve, it is essential to establish clear guidelines and best practices to ensure responsible and effective use in academic settings. Understanding Humber Polytechnic’s Statement on Generative Artificial Intelligence is crucial for faculty and learners as it provides a framework for ethical use, academic integrity, and discipline-specific adaptation.
Watch the video below to learn how GenAI creates text, images, and more using prompts. It highlights GenAI’s potential for learning and creativity while emphasizing responsible use and the importance of checking for accuracy of generated content.
GenAI can generate, improve, and personalize a wide range of content to support both instructors and learners. The list below highlights just a few of its applications. However, users should verify content accuracy as GenAI-generated information may be inaccurate and biased.
In 2024, Humber Polytechnic recommends CoPilot for its commercial data protection. If using ChatGPT, consider disabling data collection to prevent prompts and conversation from being collected and stored.
Instructors can use Generative AI to enhance teaching and streamline tasks:
Students can use Generative AI responsibly to support their learning:
McMaster’s Provisional Guidelines on the Use of Generative AI highlight key limitations and risks, including potential biases, inaccuracies, and ethical concerns. Click on each tab to learn more.
The resources below will help guide you in this new era of teaching with AI. Explore key considerations and strategies to enhance your teaching practice and support effective student learning.
The intention of these guiding resources is to offer a starting point for instructors to consider the potential uses of GAI in teaching and learning prior to the start of teaching courses at Humber Polytechnic. More importantly they provide an opportunity to think about and reflect on how we teach. The resources below will help guide you in this new era of teaching with AI. Explore key considerations and strategies to enhance your teaching practice and support effective student learning.