Machine bots work by using algorithms and pre-programmed rules to process information and generate responses or actions. They analyze input data, search through large databases or patterns they’ve been trained on, and then produce outputs that seem logical or helpful based on that input. Unintended bias can affect what these bots produce. If the data used to train them contains cultural, gender, or racial biases, the bot may unintentionally reinforce or reproduce those patterns in its responses. This can lead to skewed results, misinformation, or unfair treatment of certain groups, even if the designers didn’t intend for it to happen. Bias can also appear through the way prompts are structured or which sources the bot relies on most heavily. Tools like Khanmigo can be powerful aids for teachers. They can help personalize instruction, offer instant feedback to students, generate differentiated activities, or assist in tutoring students who need extra support. AI assistants can save teachers time on routine tasks, allowing them to focus more on meaningful interactions and critical thinking activities. In my classroom, I could see AI being a valuable assistant—acting as a tutor for students who need additional explanations, helping generate practice problems, or guiding group discussions—while I oversee, guide, and ensure ethical use. It’s important, though, to set clear boundaries and teach students to use AI responsibly, not as a shortcut for thinking, but as a tool to deepen learning.
