Metadata
Title
Generative AI Learning Resources for Researchers
Category
general
UUID
7e74475fcecc4c0dafb80d824e1561d5
Source URL
https://cris.utoronto.ca/guides/genai-learningresources/
Parent URL
https://cris.utoronto.ca/guides/genai_considerations/
Crawl Time
2026-03-10T08:35:00+00:00
Rendered Raw Markdown

Generative AI Learning Resources for Researchers

Source: https://cris.utoronto.ca/guides/genai-learningresources/ Parent: https://cris.utoronto.ca/guides/genai_considerations/

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Generative AI Learning Resources for Researchers

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On This Page:

Introduction

This page is designed to help researchers across any discipline to integrate Artificial Intelligence (AI) and Generative AI (GenAI) tools into their research processes. Whether you’re planning your study, searching the literature, working with data, or sharing your findings, there is now a proliferation of resources available for various stages of your research project. We have curated a short list of on-demand courses, webinar recordings, and articles to help you explore the potential of AI to support and enhance your academic research work.

Before diving in, consider the opportunities and risks of using AI tools in your research, glean insights from other academics’ perspectives and commentaries. Relevant guidelines and protocols for the use of AI at the University of Toronto are listed on the AI Task Force and Guidelines page. Relevant AI policies and guidelines related to research are available on the CRIS guide for Generative AI Considerations in Academic Research.

AI Basics

This section explores key AI concepts and the use of generative AI in research, including applications, effective prompting, and using U of T-licensed Microsoft Copilot.

Host: Centre for Research & Innovation Support, U of T

Date: September 2024

Cost: Free

Access requirements: UTORid

This webinar covers:

MS Co-pilot – A Protected Alternative to ChatGPT

Host: Enterprise Applications and Solutions Integration, U of T

Date: February 2025

Cost: Free

Access requirements: UTORid

This webinar covers:

Conversational vs. Structured Prompting

Source: Prompt Engineering & AI Institute

Date: January 2025

Cost: Free

Access requirements: None

This article covers:

Ethical and Safe Use of AI Tools

This section provides guidance on privacy, security, and ethical considerations when using AI, including strategies to reduce chatbot hallucinations.

Use Artificial Intelligence Intelligently

Host: Information Security, U of T

Cost: Free

Access requirements: None

This article covers:

AI Hallucinations in Practice: Tools and Techniques for Reliable Generation

Host: Enterprise Applications and Solutions Integration, U of T

Date: May 2025

Cost: Free

Access requirements: UTORid

This webinar covers:

Using Generative AI Ethically at Work

Host: LinkedIn Learning

Date: January 2025

Cost: Subscription to LinkedIn Learning

Access requirements: U of T Faculty and Staff have access to LinkedIn Learning

This online course covers:

Cyber Security for Users of Generative Artificial Intelligence

Host: Government of Canada

Date: Multiple dates

Cost: $500

Access requirements: All Government of Canada (GC) employees and employees at other levels of government and critical infrastructure are eligible to enroll

This course covers:

Literature Exploration & Summarization

This section introduces generative AI tools for literature discovery and summarization, highlighting their benefits, limitations, and key differences between AI search engines and chatbots.

Introduction to Scopus AI and Web of Science Research Assistant to Explore Literature

Host: Centre for Research & Innovation Support & University of Toronto Libraries, U of T

Date: April 2025

Cost: Free

Access requirements: UTORid

This webinar covers:

The Role of AI Tools in Developing Search Strategies and Identifying Evidence for Systematic Reviews

Host: Evidence Synthesis Ireland

Date: May 2025

Cost: Free

Access requirements: None

This webinar covers:

From Search to Synthesis: AI Tools for Literature Discovery and Summarization

Host: Michigan Institute for Data & AI in Society (MIDAS)

Date: April 2024

Cost: Free

Access requirements: None

This webinar covers:

Working with Data

This section explores how generative AI can support coding, data visualization, and qualitative research.

AI in Qualitative Research: Mapping the Landscape

Host: Centre for Research & Innovation Support, U of T 

Date: October 2025 

Cost: Free 

Access requirements: UTORid

This webinar covers: 

AI-assisted Qualitative Data Analysis: Harnessing Tools Appropriately

Host: Centre for Research & Innovation Support, U of T 

Date: October 2025 

Cost: Free 

Access requirements: UTORid

This webinar covers: 

Data Analysis: Quantitative Data

Host: Michigan Institute for Data & AI in Society (MIDAS)

Date: May 2024

Cost: Free

Access requirements: None

This webinar covers:

GenAI Tools for Data Visualization and Presenting Information

Host: Michigan Institute for Data & AI in Society (MIDAS)

Date: November 2024

Cost: Free

Access requirements: None

This webinar covers:

Writing & Creating

This section examines the role of generative AI in academic writing and other creative academic work, highlighting its benefits, challenges, and ethical considerations.

Techniques for Supercharging Academic Writing with Generative AI

Source: Nature

Date: March 2024

Cost: Free

Access requirements: UTORid

This article covers:

Creative and Critical Thinking with Generative AI

Host: Centre for Teaching Support & Innovation, U of T

Date: January 2025

Cost: Free

Access requirements: UTORid

This webinar covers:

Project & Time Management

This section focuses on using AI to enhance productivity and reduce workload, including prompts for integrating AI into daily tasks to work more efficiently.

Reclaiming Our Time: AI and Academic Productivity

Host: National Center for Faculty Development and Diversity (NCFDD)

Date: February 2025

Cost: NCFDD membership

Access requirements: U of T Faculty can request a membership

This webinar covers:

How to Boost Your Productivity with AI Tools

Host: LinkedIn Learning

Date: July 2023

Cost: Subscription to LinkedIn Learning

Access requirements: U of T Faculty and Staff have access to LinkedIn Learning

This online course covers:

Disclaimer: Given the rapidly evolving landscape of AI tools, copyright law, and funder and publisher policies, researchers must critically evaluate the content of each of the training resources provided on this page to determine their appropriateness for their own research context. Additionally, the resources provided on this page are by no means exhaustive.