Academic Integrity & Responsible AI Writing: 1 Day Session in Toronto

Fri, 23 Jan, 2026 at 09:00 am to Fri, 12 Jun, 2026 at 05:00 pm UTC-05:00

Yonge Street & Shuter Street | Toronto

Catils_inc
Publisher/HostCatils_inc
Academic Integrity & Responsible AI Writing: 1 Day Session in Toronto
Advertisement
A practical exploration of ethical writing, responsible AI use, and safeguarding originality in academic and professional work.
About this Event

Group Discounts:

  • Save 10% when registering 3 or more participants
  • Save 15% when registering 10 or more participants

For more information on venue address, reach out to "[email protected]"


About This Course
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks, and beverages will be provided during the session

Course Overview
This 1 Day course addresses the growing importance of academic integrity in an AI-enabled writing environment. It explains ethical writing practices, responsible AI assistance, and the principles behind AI detection in written work. The course focuses on originality, citation integrity, transparency, and risk awareness rather than technical tools. Real-world academic and professional scenarios are used to clarify expectations and boundaries. By the end of the session, learners gain a clear understanding of how to maintain integrity while working responsibly with AI.

Learning Objectives
• Understand core principles of academic integrity
• Apply ethical writing and originality standards
• Use AI responsibly within accepted boundaries
• Recognize risks related to AI detection concerns
• Maintain transparency and accountability in writing
• Strengthen citation and attribution practices
• Build long-term integrity-focused writing habits

Target Audience
• Students and academic researchers
• Faculty members and educators
• Academic administrators and coordinators
• Researchers and analysts
• Writers involved in academic or policy work
• Professionals required to submit original written outputs

Why Choose This Course?
This course is delivered by an experienced academic and writing ethics professional with strong exposure to integrity frameworks and AI-related challenges. The focus is on clarity, responsibility, and practical decision-making rather than fear-based enforcement. Real scenarios help demystify AI detection and ethical expectations. The 1 Day format ensures focused learning with immediate relevance.


©2025 Catils. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.


Want to train your entire team?
This course can be delivered as a customized in-house program aligned with institutional integrity policies and academic standards. Content can be adapted based on education level, discipline, and regulatory requirements. Internal case scenarios can be included to enhance relevance. Flexible delivery options ensure clear understanding and compliance.

📧 Contact us today to schedule a customized in-house, face-to-face session:


Event Photos
Event Photos
Event Photos
Event Photos
Event Photos
Agenda
Module 1: Foundations of Academic Integrity

Info: • Understand the meaning and importance of academic integrity
• Identify common integrity violations and risks
• Recognize the long-term impact of unethical writing
• Icebreaker


Module 2: Originality, Plagiarism & Ethical Writing

Info: • Understand originality in academic and professional contexts
• Identify different forms of plagiarism
• Apply ethical writing and attribution practices
• Case Study


Module 3: AI in Writing – Opportunities & Boundaries

Info: • Understand how AI supports writing tasks
• Identify acceptable and unacceptable AI use
• Maintain author responsibility and ownership
• Activity


Module 4: Principles Behind AI Detection

Info: • Understand how AI-generated content is identified conceptually
• Recognize patterns that raise integrity concerns
• Understand limitations of detection approaches
• Simulation


Module 5: Risk Management & Transparency in AI Use

Info: • Identify academic and professional risks of misuse
• Apply transparency and disclosure principles
• Align writing practices with institutional policies
• Role Play


Module 6: Citation, Referencing & Attribution Integrity

Info: • Apply correct citation and referencing principles
• Avoid citation manipulation and fabrication
• Maintain consistency and credibility in sources
• Case Study


Module 7: Building an Integrity-First Writing Approach

Info: • Develop personal integrity guidelines for writing
• Balance efficiency with ethical responsibility
• Apply integrity checks before submission
• Activity


Advertisement

Event Venue & Nearby Stays

Yonge Street & Shuter Street, 229 Yonge Street Suite 400 Toronto Ontario M5B 1N9 Canada., Toronto, Canada

Tickets

CAD 559.16 to CAD 724.76

Icon
Concerts, fests, parties, meetups - all the happenings, one place.

Ask AI if this event suits you:

More Events in Toronto

Ghostlight: Summer Solstice (Tranzac Residency)
Wed, 03 Jun at 09:30 pm Ghostlight: Summer Solstice (Tranzac Residency)

Tranzac Club

Joe Jordan (19+)
Wed, 03 Jun Joe Jordan (19+)

The Drake Underground

Meet Me At The Altar
Wed, 03 Jun at 11:00 pm Meet Me At The Altar

The Mod Club

Greensky Bluegrass
Wed, 03 Jun at 11:00 pm Greensky Bluegrass

The Opera House - Toronto

De Yun She
Wed, 03 Jun at 11:30 pm De Yun She

Massey Hall

Advancing The Future of Interventional Brachytherapy
Thu, 04 Jun at 07:30 am Advancing The Future of Interventional Brachytherapy

Chelsea Hotel, Toronto

Josh Groban & Jennifer Hudson at Scotiabank Arena
Thu, 04 Jun at 08:00 am Josh Groban & Jennifer Hudson at Scotiabank Arena

Scotiabank Arena - Toronto, ON

Risk Assessment Skills: 1-Day Interactive Session in Toronto
Thu, 04 Jun at 09:00 am Risk Assessment Skills: 1-Day Interactive Session in Toronto

Regus ON, Toronto - Yonge & Shuter

Year-end Graduate Symposium
Thu, 04 Jun at 09:00 am Year-end Graduate Symposium

220 Yonge St

Hands-on Introduction to R Programming
Thu, 04 Jun at 09:00 am Hands-on Introduction to R Programming

Multi-media Room, PGCRL, 686 Bay Street Toronto, ON M5G 0A4

All Staff Appreciation Event - AM Drop-in Session
Thu, 04 Jun at 09:30 am All Staff Appreciation Event - AM Drop-in Session

Native Canadian Centre of Toronto

Toronto is Happening!

Never miss your favorite happenings again!

Explore Toronto Events