Chris emphasized the need for improved weekly communication among all stakeholders, noting a lack of clarity in meetings and their purpose. He plans to escalate the need for a feedback loop with HJUIT and various activities across Harvard. He also asked about the department training status.
Lawrence was tasked with investigating sandbox access metrics and the possibility of STEM AI access to sandbox utilization.
Greg reviewed the use of GPT-4 tutor in class activities and was tasked to create 2-3 slides summarizing what was done, asked, and observed.
Eske and Lawrence will send update on sharing code via GitHub.
Adam reported that 6 department trainings have been completed, with the 7th happening today. He noted that the MCB department had concerns about AI's writing quality and lack of citation.
Logan highlighted the challenge of SEM people perceiving AI tools as traceable software, emphasizing the importance of text analysis.
Nick suggested a report on use cases and outcomes. Chris tasked him with getting preliminary data posted on the archive, highlighting the value of early findings.
Tamara mentioned that Valeria B. from the FAS Dean's office is interested in showcasing how faculty are using AI in their courses. Greg was suggested as a potential speaker.
Marlon raised the issue of supporting faculty without coding skills and the need for IRB class research.
Chris proposed three strategies: listing interested classes, pairing course assistance with projects, and identifying prerequisites for student success. He emphasized the need for software development rigor and a community of practitioners, and suggested utilizing students as resources.
Mike expressed interest in involving his CS32 course.
Chris was tasked with addressing the issue of insufficient communication regarding file upload deployment.