University of Missouri Implements Policies on Artificial Intelligence in Student Assignments
The University of Missouri (MU) is making strides in addressing the growing influence of artificial intelligence (AI) in academia. Ben Trachtenberg, the director of the MU office of academic integrity, delivered a thought-provoking talk on "Academic Integrity in the Age of Artificial Intelligence" to the MU Faculty Council at Cornell Hall. Trachtenberg emphasized the importance of teaching students about AI and ensuring they understand its implications.
Integration of AI in Academia
In a notable development, the University of Missouri System recently incorporated specific guidelines on AI into its collected rules and regulations. Effective since August 2023, the new policy forbids students from using AI in their assignments without explicit permission from their instructors. Additionally, the policy aims to prevent cheating and plagiarism facilitated by AI technology.
The Debate on AI Detectors
Trachtenberg expressed skepticism about the effectiveness of AI detectors. He argued that instructors should focus on assessing whether students comprehend the content of their assignments rather than relying solely on AI-powered plagiarism detection tools. This viewpoint raises important discussions around the role of AI in academia and the need for a balanced approach.
Acknowledging the Potential of AI
While questioning the efficacy of AI detectors, Trachtenberg acknowledged the revolutionary potential of AI in the fields of medicine and scientific research. However, he urged educators to discern between work that is genuinely AI-generated and work that is merely AI-assisted. This distinction is crucial in properly evaluating the contributions of both AI and human intelligence.
Educating Faculty and Students
Recognizing the critical moment in society presented by AI technology, Kevin Brown, a faculty member in the MU Department of Theater, compared it to the invention of the light bulb. To address these concerns, MU is forming an AI task force dedicated to studying how faculty can effectively integrate AI in teaching. The task force will also focus on the ethical implications of AI and what students should learn about AI literacy.
Taking Action against Academic Dishonesty
Trachtenberg's office plays a vital role in handling cases related to cheating, plagiarism, and unauthorized use of AI-generated content, primarily involving undergraduate students. In the current school year, the office has received 163 reports, representing a decrease from the 498 cases reported in 2020-21. Importantly, Trachtenberg clarified that the office's actions do not override instructors' authority in determining student grades. He also emphasized that not all instances of academic dishonesty lead to expulsion, especially for minor first offenses.
The Importance of Faculty-Student Relationships
Trachtenberg urged faculty members to proactively educate students about academic expectations, including the proper use of citations and collaboration. He highlighted that students who have a positive rapport with faculty members are less likely to engage in dishonest practices. This emphasis on fostering relationships and open communication can contribute to maintaining academic integrity within the student body.
Looking Ahead
With the submission of names for the AI task force, MU is taking strides to address the implications of AI in academia comprehensively. By fostering dialogue and partnering with faculty, the university aims to develop effective strategies for utilizing AI in teaching while upholding academic integrity. The university's proactive approach indicates a commitment to preparing students for a world continuously shaped by AI innovation and ethics.
Analyst comment
Positive news. The University of Missouri’s attention to artificial intelligence showcases their commitment to academic integrity and preparing students for the future. The addition of rules and regulations regarding AI demonstrates their proactive approach. The formation of an AI Task Force further emphasizes their focus on AI literacy and ethics. The decrease in cases of academic dishonesty suggests the effectiveness of their efforts. Overall, the market for AI education and research is expected to grow as more institutions prioritize AI integration and ethical considerations.
