Artificial intelligence is already helping many teachers save time on lesson planning, differentiation and report writing. Tools can draft resources in seconds and generate ideas on demand. However, it is worth taking a step back to understand what these tools really are, how they work, and where the risks lie.
Whether you’re an experienced AI power-user or a novice, we want to cover a range of topics and facts relating to AI that you may not be aware of. Many schools don’t have AI policies yet, which is understandable, given AI tools are evolving fast and adoption has been outpacing government guidance and legal frameworks.
AI can be incredibly helpful, but it's not a magical all-knowing assistant. It can make mistakes, invent facts (called hallucinations), reflect bias and usage raises important questions about privacy, ethics and professional judgement.
This article is the first in a new Teachit series on AI in education. In future articles, we will explore:
- AI and governance for SLT
- Student use and academic integrity
- Practical classroom applications of AI
If you're curious about AI but unsure where to begin, this guide will help you get started with confidence.
What is AI, and how does it work?
Artificial intelligence (AI) is a broad term used to describe computer systems that can perform tasks that normally require human intelligence. This might include recognising patterns, generating text, summarising information, analysing data or answering questions.
The type of AI most teachers are currently encountering is known as generative AI. These are tools that can create new content such as lesson ideas, quizzes, worksheets, emails and explanations all based on a prompt.
Examples include ChatGPT from OpenAI, Claude from Anthropic, and Gemini from Google.
At a simple level, these tools work like highly sophisticated autocomplete systems. They have been trained on enormous amounts of text and have learned patterns in language. When you ask a question, they predict the most likely next words based on those patterns.
This means AI is not 'looking up' answers in the way a search engine does, and it is not thinking or reasoning like a human. It is generating a response that sounds plausible based on probabilities.
A useful analogy is to imagine a student who has read millions of books and websites and is exceptionally good at spotting patterns in language. They can produce impressive answers quickly, but they do not necessarily know whether what they are saying is true.
This is why AI can be so helpful, but also why it needs careful oversight.
AI mythbusters: fact vs fiction
There is a lot of hype around AI. Some claims are exaggerated, while others gloss over important nuances. Here are a few of the most common misconceptions.
Myth: AI is always accurate
Fiction
AI can produce incorrect answers, invent references and confidently present false information. These mistakes are often called hallucinations.
Myth: AI thinks like a human
Fiction
AI does not understand concepts, have opinions or exercise judgment. It identifies patterns and predicts likely responses.
Myth: AI always uses live information from the internet
Fiction (or only sometimes true)
Some tools can access the web, while others rely mainly on previously trained data. Even when internet access is enabled, the tool may misinterpret or misrepresent what it finds.
Myth: If an answer sounds confident, it must be correct
Fiction
AI is designed to produce fluent, persuasive responses. Confidence is not the same as accuracy.
Myth: AI is neutral and unbiased
Fiction
AI reflects the strengths and weaknesses of the data it was trained on, including cultural and societal biases.
Myth: AI removes teacher responsibility
Fiction
Teachers remain professionally accountable for everything they use with pupils.
Why AI sometimes gets things wrong
Generative AI is designed to produce responses that are coherent and useful. However, “helpful” does not always mean “true” and many tools don’t understand what is fact or even the concept of “truth.”
Because AI predicts what is likely to come next, it can:
- invent facts
- create fictional quotations
- misattribute information
- oversimplify complex topics
- omit important context
This is particularly important in education, where accuracy matters.
Think of AI as a fast drafting partner rather than an authoritative source. It can help you get started, but its work should always be reviewed, edited and checked before being used with students.
Privacy, GDPR and data protection
One of the most important considerations for schools is data protection. Always consult your school’s policies and comply with these.
When you enter information into an AI tool, that data may be stored and processed by the provider. Depending on the platform and your school's agreement, it may also be used in different ways to improve services.
For this reason, you should avoid entering:
- pupil names
- safeguarding information
- SEND records
- assessment data linked to individuals
- staff performance information
- any other sensitive personal data
Schools in the UK must comply with UK GDPR and the Data Protection Act 2018.
The Information Commissioner's Office (ICO) guidance on generative AI in schools explains that schools should be transparent about how personal data is processed and should assess risks before adopting new tools.
The Department for Education's guidance on generative AI in education also highlights the need to use AI safely and responsibly.
Practical rule of thumb
If you would not post the information publicly, do not paste it into an AI tool unless your school has explicitly approved the system and provided guidance on appropriate use.
School policies will vary
There is no single national list of “approved” AI tools for schools.
Each school or trust will make its own decisions based on:
- safeguarding requirements
- data protection arrangements
- technical infrastructure
- budget
- staff skills and confidence
- leadership priorities
Some schools have already introduced approved tools and clear policies. Others are still exploring their approach.
The Department for Education has made it clear that schools and colleges can decide whether and how AI is used, provided they continue to meet their legal and safeguarding responsibilities.
If your school does not yet have a policy, proceed cautiously and check with your senior leadership team, data protection officer or IT lead before using AI tools professionally.
And if you are responsible for creating policy and governance, watch this space: a future article in this series will explore AI governance for senior leaders.
What does Ofsted say about AI?
Ofsted does not require schools to use AI, nor does it prohibit it.
As with any technology, inspectors are likely to be interested in how leaders ensure:
- safeguarding
- curriculum integrity
- data protection
- staff training
- effective use of resources
In other words, the focus is not on whether you use AI, but whether you use it thoughtfully and responsibly.
Recent Ofsted commentary has suggested that the greater risk may be ignoring AI entirely rather than failing to engage with it critically and safely.
Bias and ethics
AI tools are trained on data created by humans. That means they can reflect biases present in books, websites and other online sources.
For example, outputs may:
- reinforce stereotypes
- overrepresent certain perspectives
- omit minority voices
- favour dominant cultural assumptions
This does not mean AI is inherently harmful, but it does mean educators need to apply critical judgment.
Ask yourself:
- Whose perspective is represented?
- What may be missing?
- Is this inclusive and appropriate for my pupils?
Will AI affect students' thinking skills?
AI can provide explanations, model answers and instant feedback. Used well, it can support learning and reduce barriers.
However, over-reliance can lead to:
- superficial understanding
- reduced resilience
- less independent problem solving
- weaker writing and thinking skills
The key question is whether AI is enhancing learning or replacing the cognitive effort that students need to develop.
As educators, our role is to ensure technology supports thinking rather than bypasses it.
Environmental impact
AI systems require significant computing power, which consumes energy and water.
For most teachers, this does not mean avoiding AI altogether. Rather, it is another reminder to use these tools intentionally and where they offer meaningful educational value.
Key considerations before using AI
Before adopting any AI tool, it is worth reflecting on the following:
Environmental impact
What resources are required to power the technology?
Truthfulness vs helpfulness
Is the response actually correct, or simply persuasive?
Data and training limitations
What information was the model trained on, and what might be missing?
Thinking skills
Will this support or shortcut student learning?
Ethics and responsibility
Who remains accountable for the outcome?
Bias, data quality and sources
Whose perspectives are included, and whose may be absent?
We have created a checklist for teachers using any AI-generated content in your teaching, planning or administration.
Questions to ask before using AI in school
Before using any AI-generated output, ask:
- Is this factually accurate?
- Have I checked the sources?
- Is the information current?
- Does it contain bias or stereotypes?
- Is it suitable for my pupils?
- Have I protected personal data?
- Does it support learning rather than replace thinking?
- Am I comfortable taking professional responsibility for this content?
If the answer to any of these questions is “no” or “I’m not sure”, pause and review before proceeding.
These and other considerations are included in the checklist we have put together as a resource for teachers using generative AI.
AI has the potential to save teachers time, spark creativity and reduce administrative workload. Used well, it can become a valuable professional assistant.
But AI is not a magical solution. It does not think, it is not always accurate, and it raises important questions about privacy, ethics and educational purpose.
The good news is that you do not need to be a computer scientist to use AI effectively. A basic understanding of how it works, combined with sound professional judgment and adherence to your school’s policy, is enough to get started. In this content series we will be covering AI and governance for Senior Leadership Teams, student use and academic integrity and practical classroom applications of AI, including prompt engineering.
Approach AI with curiosity, caution and critical thinking, and it can become another useful tool in your teaching toolkit.
