Zach Justus and Nik Janos, from California State University, Chico, argue that existing policies regarding generative artificial intelligence in education are becoming obsolete due to the integration of AI technology into various platforms. They highlight the current state of “jagged integration,” where AI tools are embedded in systems that students and faculty already use, making it challenging to enforce traditional guidelines.
They discuss the widespread integration of AI in research, development, and production processes. For example, Adobe and PDF citation applications now include AI assistants to help users work with documents and summarize academic papers. Additionally, tools like Google’s Gemini and Apple Intelligence are seamlessly integrated into devices and software, offering features like text editing and content generation. Even platforms like Google Docs and social media sites utilize AI for autocomplete suggestions and content creation assistance.
Given this pervasive presence of AI in educational and professional settings, Justus and Janos suggest a shift in approach towards AI policies. Instead of rigid rules, they propose adopting a framework or disposition that acknowledges the omnipresence of AI in knowledge production. This approach would involve ongoing dialogue with students about AI usage and its implications, rather than strict policies that may need constant revision.
They emphasize the need for faculty to adapt to the rapid pace of technological change and consider the impact of AI integration on student learning. By reframing policies as part of a continuous conversation about technology integration, institutions can better prepare students for a future where AI is an essential component of everyday tasks.
In conclusion, Justus and Janos urge educators to rethink their approach to AI in education and move beyond traditional policies towards a more flexible and adaptive framework. As AI continues to evolve and integrate into various aspects of our lives, it is essential to engage in ongoing discussions with students about the use of AI tools and their implications for learning and professional development.