Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and…

The role of ethics becomes even more significant given the huge advent and increase of cyber-criminal activities in cyberspace. It has become an urgent necessity to curb the menace of unethical practices in cyberspace and contribute ethical guidelines to a safe and secure digital environment. To minimize the growth of cybercrimes and unethical…

This article takes as its point of departure an incident in which Helen Keller was accused of plagiarising a short story while residing at the Perkins Institution for the Blind: the so-called "Frost King" incident. Keller's guilt or innocence is not the subject of my inquiry. Rather, how did the culture of Perkins -- as fostered by its…

It is likely existing anatomical illustrations are often used as the basis for new illustrative works, given not all illustrators have access to human tissues, bodies, or prosections on which to base their illustrations. Potential issues arise with this practice in the realms of copyright infringement and plagiarism when authors are seeking to…

To help address programming plagiarism and collusion, students should be informed about acceptable practices and about program similarity, both coincidental and non-coincidental. However, current approaches are usually manual, brief, and delivered well before students are in a situation where they might commit academic misconduct. This article…

As the burden of misconduct in medical research is increasingly recognised, questions have been raised about how best to address this problem. Whilst there are existing mechanisms for the investigation and management of misconduct in medical literature, they are inadequate to deal with the magnitude of the problem. Journal editors and publishers…

Plagiarism is a continuing and growing concern in higher education and in academic publishing. Educating to avoid plagiarism requires ongoing efforts at all levels and clear policies that explain the several types of plagiarism and potential consequences when it is found. Identifying plagiarism requires complex judgments and is not a simple matter…

Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…

Student plagiarism has challenged educators for decades, with heightened paranoia following the advent of the Internet in the 1980's and ready access to easily copied text. But plagiarism will look like child's play next to new developments in AI-based natural-language processing (NLP) systems that increasingly appear to "write" as…

Plagiarism is a consistent source of concern for educators, and particularly so for English for Academic Purposes (EAP) practitioners, whose objective is to equip students for success across the curriculum. Plagiarism has been on the EAP research agenda for some 35 years and remains a topic of considerable research interest. While perceptions of…

For more than 25 years, research misconduct (research fraud) is defined as fabrication, falsification, or plagiarism (FFP)--although other research misbehaviors have been also added in codes of conduct and legislations. A critical issue in deciding whether research misconduct should be subject to criminal law is its definition, because not all…

Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…

Undergraduate first-year courses are often mandatory for students in a variety of majors and degrees. Many students view these core courses as of little interest and relevance, which is associated with lack of motivation for study and can lead to cheating. Contract cheating in text-based is difficult to detect and prove. Contract cheating in…

Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…

This chapter provides unique challenges to academic integrity for professional healthcare educators while recognizing new emerging threats on the horizon.