Description of the workshop
A course on “Ethics in Academic Communication in the Age of AI” is increasingly important because the way knowledge is created, shared, and evaluated is rapidly changing. Why it matters: Preserving Academic Integrity; Responsible Use of AI Tools (AI can be powerful, but misuse can lead to misinformation or unethical shortcuts); Addressing Bias and Fairness; Protecting Intellectual Property; Enhancing Critical Thinking Skills (rather than relying blindly on AI); Evaluate the credibility of information; Cross-check sources; Distinguish between human insight and machine-generated text; Preparing for Future Academic and Professional Standards; Universities, journals, and workplaces are developing policies around AI use. This course prepares individuals to: Follow evolving ethical guidelines; Communicate transparently in academic and professional settings; Building Trust in Academic Communication. Without understanding such issues, the value of academic qualifications and publications could decline.
Profile of the Instructor
Prof. Ashish Singh is an Associate Professor in the School of Management at IIT Bombay. His research interest includes economics of distribution, discrimination, exclusion and development as well as public health. He is an academic editor for PLOS Global Public Health; associate editor for International Journal for Equity in Health; and section editor for Archives of Public Health. He has trained more than 500 hundred scholars, researchers and faculty members across the globe in academic ethics, scientific writing and publications.
Modules of the workshop
Module name: Ethical issues in academic communication – Overview
Concepts covered: Introduction and overview with some real cases
Live sessions - No. of hours: 30 mins
Learning outcomes: Understanding of ethical issues in academic communication.
Module name: Plagiarism, Self Plagiarism, Similarity Index +
Concepts covered: Plagiarism; self-plagiarism and copyright; text recycling and self-plagiarism; similarity index etc.
Live sessions - No. of hours: 1 hr
Learning outcomes: Understanding of issues, such as, plagiarism; self-plagiarism, copyright, text recycling, similarity index
Module name: Non-plagiarism ethical issues
Concepts covered: Cryptomnesia, undermining scope of existing scholarship, providing wrong/misleading information, selective use {and reporting} of literature and results, mis(use) of footnotes, redundant and duplicate publications, double dipping, salami slicing {data fragmentation}, data augmentation
Live sessions - No. of hours: 1 hr
Learning outcomes: Sound understanding of non-plagiarism related ethical issues.
Module name: Authorship issues and AI +
Concepts covered: Ghost authorship; authorship and AI; Conflict of interest, Ethical clearance; funding sources +
Live sessions - No. of hours: 30 mins
Learning outcomes: Undersigning of Authorship Issues + AI
Intended Audience & Eligibility
Intended audience - Scholars, Teachers, Industry Professions etc.
Eligibility: Should be in graduation or above.
Certification Criteria
Attendance is mandatory for Certification.
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