During the recent Mid Hudson School Study Council annual law updates held at Mount St. Mary College, key discussions centered around the implications of artificial intelligence (AI) in education and significant changes to teacher evaluation processes in New York State.

The first session highlighted the growing use of AI among students and educators, raising concerns about confidentiality, privacy, and potential biases in hiring practices. Participants discussed the risks associated with AI-driven recruitment processes, which could inadvertently lead to discrimination. A proposed law in New York State aims to require annual audits of AI programs to ensure they are free from bias, mirroring existing regulations in New York City.

Another critical topic was the upcoming changes to the Annual Professional Performance Review (APPR) system, transitioning from 3012 to 3012e. This overhaul will integrate teacher evaluations into collective bargaining agreements, shifting the focus from student performance metrics to teacher and principal observations. The new system will standardize evaluations on a scale of one to four, potentially impacting teacher discipline processes.

Subsequent sessions addressed First Amendment rights and Title IX regulations, emphasizing the need for schools to adapt to evolving legal standards regarding discrimination and bullying. The discussions underscored the importance of timely supportive measures for students facing disciplinary actions, ensuring their continued access to educational programs.

Overall, the meeting underscored the necessity for educational institutions to stay informed and compliant with changing laws and regulations, particularly concerning AI usage and teacher evaluations. The insights shared will guide administrators and educators in navigating these complex legal landscapes.