AI and Academic Integrity Ethical Considerations

This white paper discusses the intersection of artificial intelligence (AI), academic integrity, and authentic assessment practices in education. It outlines the challenges posed by generative AI tools that allow students to produce original content, complicating traditional definitions of plagiarism. The document emphasizes the need for educational institutions to revise their academic policies to address AI plagiarism, as existing anti-plagiarism tools are inadequate for detecting AI-generated work. The paper presents Anthology's perspective on best practices for maintaining academic integrity in the age of AI, advocating for the empowerment of instructors to adopt authentic assessment methods. It also highlights the limitations of current AI detection software and the importance of developing comprehensive institutional policies that support ethical AI use in higher education. The paper concludes by stressing the necessity of fostering critical thinking and proper attribution in student work to mitigate the risks associated with AI-assisted plagiarism.