1. Using AI requires processing large amounts of student data, raising concerns about privacy and security. According to an IBM study, 73% of educational institutions believe that data privacy issues are a serious challenge when implementing AI.
Advice from Sailet: Ensure the use of data encryption and limit access to confidential information to authorized users only. Develop a clear privacy policy explaining how student data will be utilized.
2. Creating and implementing AI systems requires significant financial investments. Schools have approached us several times requesting AI-based proctoring services, hoping to achieve this with a fixed budget. However, the problem lies in the fact that the outcome depends on numerous factors, making it somewhat experimental. Factors such as video stream quality, lighting conditions, variations in clothing, and hundreds of other parameters influence the final result.
Advice from Sailet: Explore opportunities for government funding and private grants. Do not try to tackle everything at once. Start small. Address one minor issue first. Then expand requests and features gradually. For instance, initially determine whether the student is present at their desk. Next, check if they are not turning away from the computer. Afterward, verify if they aren't using a phone within the visible area, etc.
3. There is a fear that AI could replace teachers. According to a World Economic Forum survey, 65% of teachers are concerned that AI might lead to job losses. Of course, AI is intended to support teachers, not replace them.
Advice from Sailet: Integrate AI as a tool to automate routine tasks such as grading homework and preparing teaching materials. This will allow teachers to focus on individual student interactions and develop innovative teaching methods.