Academic Integrity & Responsible AI Writing: 1 Day Session in Montreal
Schedule
Wed, 21 Jan, 2026 at 09:00 am to Wed, 17 Jun, 2026 at 05:00 pm
UTC-05:00Location
Regus | Montreal, QC
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.
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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:
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
Where is it happening?
Regus, 1200 McGill College Avenue Montreal Quebec H3B 4G7 Canada, Montreal, CanadaEvent Location & Nearby Stays:
CAD 614.96 to CAD 797.09
