Panel Discussion: AI in Academic Writing – Separating Fact from Fiction - Mind the Graph Blog Panel Discussion: AI in Academic Writing – Separating Fact from Fiction

Generative AI tools are transforming how researchers and students write, yet many still face uncertainty about what’s ethical, what’s allowed, and how to avoid unintentional mistakes. Paperpal’s recent survey of 1,400+ academics revealed that while over 80% use AI tools for their research and writing, 44% of the respondents were unclear on institutional policies and AI disclosure requirements.

AI is quickly reshaping academia but where do the boundaries lie? As part of The AI Exchange initiative by Paperpal, this exclusive panel discussion will deliver clear answers on AI detection, disclosures, and responsible use. Mind the Graph and Paperpal, interconnected tools that help researchers communicate their work more effectively—one through visuals and the other through writing—come together here to extend this important conversation.

Join us for an exclusive panel discussion with top academic experts!

AI for Academic Writing: Separating Fact from Fiction

Datum: Thursday, August 28, 2025
Time: 9:00 AM EDT | 1:00 PM GMT | 6:30 PM IST
Duration: 60 minutes

Registration is FREE – Click here to block your spot now!

What You Will Get

In this interactive 60-minute session, our expert panel will:

Discuss the right ways to use AI for academic writing without crossing ethical lines.
Clear common myths and misconceptions around AI use in academia.
Offer advice on AI disclosure, AI detection, and the risks of concealing AI use.
Share real-world perspectives and editorial expectations from journal insiders.
Provide practical tips to ensure responsible AI use in your research and writing.

You’ll also have the opportunity to engage directly with the speakers during a live Q&A. It’s your chance to clear the air on some of academia’s most debated topics.

Sign up now for FREE – Click here to block your spot now!

Why This Session Matters

The debate around AI in academia is often filled with fear and misinformation. Paperpal’s latest survey uncovered some eye-opening insights into how academics perceive AI, revealing just how widespread the uncertainty still is:

Nearly 87% worry about being flagged for plagiarism.
63% are concerned about accuracy of AI-generated content in their work.
52% feel the absence of clear institutional guidelines leaves them unsure about the right way forward.

Be a part of the conversation. Seats are limited, so take a minute now – Register for FREE!

Meet Our Speakers

Christopher Ostro

Assistant Teaching Professor and AI Strategist, CU Boulder

Chris is an experienced educator with 7+ years in teaching, writing consulting, and curriculum development across traditional, hybrid, and online formats. He mentors new and experienced teachers, helping them enhance accessibility, adapt content for diverse learners, and innovate course design to meet the evolving needs of students.

Joris van Rossum

Program Director, STM Integrity Hub

Joris van Rossum leads initiatives at STM Solutions focusing on research integrity and the application of AI in scholarly publishing. His work aims to enhance the reliability and trustworthiness of scientific literature.

Dr. Hong Zhou

Senior Director of AI Products Management, Wiley

Hong Zhou brings a strong track record of four years in AI research and 16 years of experience in technology, product, and business development. Passionate about digital transformation, he designs innovative products using emerging technologies and strategic approaches to enhance business performance and improve people’s lives. His expertise lies in defining effective processes and business models that drive growth in the digital era.

Don’t miss this chance to gain the clarity you need to navigate the grey areas and leverage AI responsibly in your research and writing – Register for free today!

Panel Discussion: AI in Academic Writing – Separating Fact from Fiction

Abonneer u op onze nieuwsbrief