AI is reshaping education, but are we speaking the same language?

Microsoft’s “10 AI Terms Everyone Should Know” is more than a glossary. It’s a toolkit for building a shared vocabulary from machine learning and LLMs to prompts, copilots, and responsible AI. In education, this language isn’t optional. It’s how teachers, students, administrators, and developers connect. Here’s why: ✅ Empowering teachers & students When educators understand what a “hallucination” is, they can help students question AI outputs instead of blindly trusting them. ✅ Informed adoption Schools exploring AI copilots need educators who grasp prompts, plugins, and responsible AI to set standards and safeguards. ✅ Equity & ethics Knowing how bias, data, and fairness shape AI is critical, especially for grading, assessments, and personalized learning. We don’t just need AI tools in classrooms. We need AI literacy in education. Because adopting this shared vocabulary is the stepping stone to resilience and responsible innovation in the AI era. Here is a list of the 10 terms with definitions: 1. Artificial Intelligence (AI) Systems or machines that perform tasks traditionally requiring human intelligence such as decision-making, translation, pattern recognition, or learning from experience. 2. Machine Learning (ML) A subset of AI: the process by which computers learn patterns from data and improve at tasks over time, rather than being explicitly programmed for every scenario. 3. Large Language Models (LLMs) AI models trained on massive amounts of text data, capable of generating and understanding human-like language (e.g. chatbots, summarization, translation). 4. Generative AI AI that can create new content (text, image, audio, video, code) based on learned patterns, rather than just reproducing or retrieving existing content. 5. Hallucinations Instances when generative models produce false or misleading information that seems plausible. (Also called fabrications.) 6. Responsible AI The discipline and practice of designing, developing, and deploying AI systems in a safe, ethical, fair, and transparent way. 7. Multimodal Models Models that can process and integrate different kinds of inputs (text, images, audio, video) simultaneously, enabling richer responses. 8. Prompts Instructions given to AI (in the form of language, code, or image) that tell the system what task to perform or how to respond. 9. Copilots AI assistants embedded in software tools (for writing, summarizing, coding, etc.) that help users by integrating AI capabilities into everyday workflows. 10. Plugins Extensions or add-ons that allow AI systems to connect with other applications, access extra data, perform specialized functions, or interact with external tools.
Link to article: Microsoft : 10 AI terms everyone should know – 10 AI terms