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Webinar: Artificial Intelligence for Academic Integrity
AI, Academia, and the Future of Thought Leadership.
As Generative AI continues to redefine the global business landscape, it is also transforming the foundations of higher education. For academic and industry leaders alike, this technology represents both a strategic opportunity and a complex ethical frontier, reshaping how we write, research, and generate insight.
In this live session with Dr. Laura Zizka, an expert in academic writing and research integrity with over 25 years of experience in higher education, we will explore what AI means for the future of academic excellence, originality, and leadership development.
This webinar will help you:
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Evaluate how and when Generative AI can enhance research and academic inquiry.
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Critically assess the credibility and limitations of AI-generated content.
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Understand how scholars, educators, and doctoral candidates can leverage AI responsibly, aligning innovation with integrity in the pursuit of knowledge.
Join this session to gain a forward-looking perspective on how AI is reshaping doctoral research and thought leadership in the age of intelligent technology.
Key facts
Duration
20 minutes
Location
Online (Microsoft Teams)
Format
Webinar (online)
Event Date
November 24, 2025 (17:30 - 17:50 pm CET)
What will you gain?
Clarity on When to Use Gen AI
Gain a clear framework for integrating Generative AI into academic and professional research while preserving intellectual rigor and authenticity.
Critical Evaluation Skills
Learn how to recognize, analyze, and critique AI-generated content, from subtle inaccuracies to major reasoning flaws.
A Framework for Moving Forward
Gain practical guidance to help educators, researchers, and professionals adapt thoughtfully to a future shaped by AI.
Program
17:30-17:50 presentation
Presenter: Dr. Laura Zizka
Associate Professor, Program Co-Director
Why our event is for you?
This webinar is designed for:
- Executive leaders, doctoral candidates, and researchers who are navigating the intersection of AI, academic inquiry, and strategic decision-making.
- Professionals interested in understanding, evaluating, and applying AI tools responsibly.