Workshop: Guidelines for Employing Artificial Intelligence Writers Morally in Student Research
Join us for a thought-provoking webinar on Wednesday, December 13, 2023, at 7:30AM EST | 12:30PM GMT | 6:00PM IST. The live event, titled "How To Use Generative AI Tools Ethically in Your Academic Writing", aims to help academics write better and faster, with real-time suggestions for in-depth language and grammar correction, trained on millions of research manuscripts enhanced by professional academic editors.
The webinar will feature Dr. Amina Yonis, a PhD candidate in Cancer Research at the University College London who has documented her journey on YouTube for over 7 years, amassing a following of over 280,000 subscribers. Dr. Asad Naveed, a Postdoctoral Fellow in Trauma at St. Michael's Hospital, will also be joining the discussion.
The session will focus on providing tips for researchers on how to navigate plagiarism, AI detection, and security risks that come with generic AI tools by leveraging the platform's toolkit. Participants will gain practical insights from academic experts who've mastered the ethical use of AI tools for academic writing.
To use generative AI tools ethically in academic writing, follow these key guidelines: always verify and validate AI-generated content for accuracy and source reliability; transparently disclose any AI assistance in your work; engage critically and meaningfully with AI outputs rather than submitting them as-is; properly cite AI use according to academic style guidelines; and consider the broader ethical challenges such as potential bias, misinformation, academic integrity, equity of access, and environmental impacts.
A recent framework emphasizes four pillars for ethical AI use in academia: (1) Validation and Source Verification to ensure AI content’s accuracy; (2) Transparency and Acknowledgment by disclosing when and how AI tools are used; (3) Context-Dependent Similarity Index which adapts permissible AI content similarity depending on the academic task; and (4) Direct Source Linking to foster proper citation and accessible referencing of AI-generated information.
Challenges include the risk of bias and misinformation in AI outputs since generative models learn from large, sometimes biased datasets; the possibility of diminished student creativity and critical engagement if over-relying on AI; issues of data privacy; and inequitable access to AI technologies. Furthermore, submitting AI-generated work without meaningful personal engagement or disclosure equates to academic dishonesty, akin to cheating. Environmentally, deploying such large models entails significant energy/resource consumption, so using AI efficiently is an ethical consideration.
Expert insights recommend using AI as a tool for brainstorming, clarifying ideas, or language editing while maintaining accountability over content quality, originality, and fairness. Follow your institution’s specific policies and citation standards (e.g., APA, MLA, CSE) for acknowledging AI use to uphold academic integrity. Ethically engaging with AI in academic writing not only protects scholarly standards but also empowers learners to harness AI responsibly and transparently.
Seats for the webinar are filling up fast, so registration is encouraged. All attendees will receive access to exclusive resources and guides on ethical AI usage in academic writing. The platform's Prime version can be obtained for US$19 a month, which unlocks unlimited access to these premium features.
The webinar will include an interactive Q&A session where participants can engage directly with the speakers and receive personalized advice on how to choose and use AI writing tools. Additionally, participants will gain access to valuable resources such as handbooks, checklists, and webinar recordings. The webinar aims to explore a future where cutting-edge AI technology and ethical academic writing coexist.
Register now for this informative and insightful webinar by following the provided link. Let's navigate the world of AI ethics together, and write smarter, not harder!
[1] "Ethics Guidelines for Trustworthy AI", European Commission, 2019. [2] "AI Ethics: A Guide for Researchers", The Centre for Data Ethics and Innovation, 2020. [3] "AI and Academic Integrity: A Discussion", The Chronicle of Higher Education, 2021. [4] "AI in Academia: Best Practices for Ethical Use", The National Center for Women & Information Technology, 2022.
- This upcoming webinar, titled "How To Use Generative AI Tools Ethically in Your Academic Writing", offers real-time suggestions for academic translation and paraphrasing, aiming to help scholars write better and faster using artificial-intelligence-driven writing tools.
- Participants will learn tips for researchers on how to leverage technology for academic writing, including consistency checks, research outlines, and navigating plagiarism and AI detection, alongside discussions with experts like Dr. Amina Yonis and Dr. Asad Naveed.
- Attendees will gain practical insights into the ethical use of AI tools in academic writing by following guidelines such as verifying AI-generated content, transparently disclosing AI assistance, engaging critically with AI outputs, properly citing AI use, and adhering to context-dependent similarity indexes.
- The four pillars for ethical AI usage highlighted in recent frameworks include validation and source verification, transparency and acknowledgment, context-dependent similarity index, and direct source linking.
- The webinar will address challenges such as potential bias and misinformation in AI outputs, diminished student creativity, data privacy concerns, unequal access to AI technologies, and environmental impacts from energy consumption.
- By using AI ethically in academic writing, scholars can protect their academic integrity, engage with AI transparently, and empower themselves to contribute to ongoing discussions on AI ethics in education-and-self-development and online-education.
