Generative AI Learning Resources for Researchers

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 online courses, webinars, 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.

Graphic of gears and AI symbols.

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.

Navigating GenAI: An Introduction for Researchers

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

Date: September 2024

Cost: Free

Access requirements: UTORid

This webinar covers:

  • Key AI concepts
  • Applications of GenAI that support scholarly work
  • Challenges and risks of using GenAI tools in research

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:

  • How to access and use Microsoft Copilot
  • Information security considerations
  • Main uses and value of this tool for administrative tasks

Conversational vs. Structured Prompting

Source: Prompt Engineering & AI Institute

Date: January 2025

Cost: Free

Access requirements: None

This article covers:

  • The difference between conversational versus structured prompting techniques
  • How to optimize interactions with AI chatbots
Locked security symbol on a computer keyboard.

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:

  • Guidance for everyone on recognizing privacy and information security risks
  • Guidance for people building or training systems with AI components

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:

  • Strategies for mitigating hallucinations or incorrect responses from chatbots
  • Covers administrative, research, and coding tasks

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:

  • Impact of legal and ethical considerations on GenAI use
  • Adherence to AI regulations, including copyright, privacy, and safety
  • Identify and make ethical choices when using AI

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:

  • Guidance and safe use of GenAI at work
  • Ethical concerns, risks, and limitations of GenAI
  • Practical use of GenAI tools
Laptop touching library books.

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

Access requirements: UTORid

This webinar covers:

  • Differences between AI search engines and AI chatbots
  • Benefits and pitfalls of using AI tools in literature reviews
  • Effective use and evaluation of Scopus AI and Web of Science RA

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:

  • Overview of GenAI tools for literature discovery, summarization, and synthesis
Three computer screens showing data graphics.

Working with Data

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

Data Analysis: Quantitative Data

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

Date: May 2024

Cost: Free

Access requirements: None

This webinar covers:

  • Generating code and graphics using GenAI chatbots
  • Exploring data and generalizing code for various models
  • Identifying and addressing bottlenecks in existing code

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:

  • Practical examples of leveraging LLM tools in data visualization workflows
  • Overview of data visualization principles and discussion of GPT models for writing code and data exploration
  • Tailored for participants with familiarity with R

Qualitative Data Analysis and Artificial Intelligence in Research: Introspection in an Evolving Era

Host: Center for AIDS Prevention Studies, UCSF

Date: December 2024

Cost: Free

Access requirements: None

This webinar covers:

  • Overview of AI technology in qualitative data analysis and software platforms
  • Rigor and ethical implications of using AI in qualitative research
Multi-coloured graphic of a lightbulb with a human hand.

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:

  • Benefits and challenges of using GenAI as a writing assistant
  • Framework for effective AI engagement, including routines and prompting techniques
  • Considerations of AI ethics and policy in academic writing

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:

  • Implications of generative AI on creative and critical thinking
  • Models and strategies for integrating AI-assisted creative and critical thinking in curriculum design
Calendar with red pins and circled date.

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:

  • Challenges faced by faculty of colour, especially women, due to service duties
  • Strategies for reclaiming time using AI

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:

  • Framework for incorporating AI into everyday tasks
  • Useful prompts to streamline tasks and working more efficiently

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.

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