Official Guidance and Regulation.

What regulators and government expect. Every source here is public and opens on the publisher’s own site.

Official guidance

Charity Commission

AI does not remove or dilute trustee duties.

More context about Charity Commission

The Charity Commission is clear that AI does not remove or dilute trustee duties. Trustees remain responsible for decisions, including where an AI tool has supported the work. Use this as the starting point for governance conversations, alongside the charity’s own purposes, duties and risk management.

The Commission’s AI material is a blog post rather than a dedicated statutory AI guide.

It was checked on 19 September 2026 and should be reviewed again before publication.

Official guidance

Fundraising Regulator

Organisations stay responsible and accountable for AI outputs in fundraising.

More context about Fundraising Regulator

The Fundraising Regulator’s guidance is an important reference point for any charity using or advising on AI in fundraising. It asks organisations to remain responsible and accountable for AI outputs. It covers inaccurate or generated information, hallucinations, bias, personal and non-public data, data storage, transparency and human oversight.

The page was last updated on 8 December 2025 and was checked on 19 September 2026.

Official guidance

Information Commissioner’s Office

The UK data protection regulator, for anything involving personal data.

More context about Information Commissioner’s Office

The ICO is the UK data protection regulator. Its AI resources matter wherever personal data, sensitive information, profiling, automated decision-making or high-risk processing is involved.

The ICO is updating its automated decision-making and profiling guidance following the Data (Use and Access) Act 2025. The consultation closed in May 2026 and the ICO lists final guidance for winter 2026.

This is an update in progress, not current final guidance.

Official guidance

UK AI context

There is no single UK AI law. Existing duties and regulators apply.

More context about UK AI context

The UK does not have one single, overarching AI law. Existing legal duties and regulators apply according to the context, particularly where AI affects recruitment, assessment, eligibility, prioritisation, risk or access to services.

The toolkit is a useful starting point for people designing, operating, procuring or delivering AI-enabled products. It was published on 8 September 2026.

Charity Sector Guidance.

Practical perspectives from organisations working with charity leaders and smaller charities.

Starting point

NCVO: How AI can help small charities

A practical introduction for smaller charities working out where to begin.

More context about NCVO: How AI can help small charities

These are useful perspectives from organisations working with charity leaders and smaller charities. They can help you think through where AI might be useful in everyday work, alongside the official guidance on governance, fundraising and data protection.

A practical introduction for smaller charities that are working out where to begin. It covers everyday uses of AI across communications, fundraising, governance, planning and evaluation, while recognising the risks around data protection, cyber security and misinformation. The page was reviewed by NCVO in August 2026.

Starting point

ACEVO: AI for charities

A leadership-focused introduction to where AI could support charity work.

More context about ACEVO: AI for charities

These are useful perspectives from organisations working with charity leaders and smaller charities. They can help you think through where AI might be useful in everyday work, alongside the official guidance on governance, fundraising and data protection.

A leadership-focused introduction to how AI could support administration, fundraising and impact measurement. It also raises useful questions about privacy, security, bias, human judgement and the information that should never be put into an AI tool. This is a guest article by Qlic IT for Charities, published by ACEVO.

Official guidance

Charity Commission: Charity Sector Risk Assessment 2026

The Commission’s overview of the main risks facing the sector, written to support decisions by trustees and charity leaders.

  • Applies to England and Wales
  • Published 18 August 2026
More context about Charity Commission: Charity Sector Risk Assessment 2026

The Charity Commission’s overview of risks across the charity sector in England and Wales. It is intended to help trustees and charity leaders make informed decisions about the risks their own charity faces.

Its section on emerging technology and cyber risks says AI can improve efficiency, accessibility and impact, but trustees remain responsible for putting appropriate safeguards, oversight and risk management in place.

Rights-Based Information.

How AI can affect people’s rights, fairness and safety, and what that means for your charity.

Safety

Rights

If AI helps make decisions about people, check those decisions stay transparent, accurate and fair. Getting this wrong can affect people’s rights.

More context about Rights

These UK examples show what can go wrong when predictive or AI-supported systems are used in consequential decisions about people, including lack of transparency, automation bias and procedural fairness.

Safety

Bias and inequality

AI can repeat and amplify existing inequalities. Take extra care before using it to classify, prioritise or screen people.

More context about Bias and inequality

AI can reflect and amplify existing inequalities, especially where tools classify people, prioritise support, assess risk, moderate content, screen applications or make recommendations about people. This is not a separate equality add-on. It belongs in decisions about whether and how to use AI.

Safety

Children and young people

If you work with children or young people, AI raises extra questions about safeguarding, privacy and identity, and about age-appropriate AI literacy.

More context about Children and young people

AI raises particular questions for organisations working with children and young people, including safeguarding, privacy, identity, relationships, AI companions, manipulated images and age-appropriate AI literacy.

Tools and Terms.

Wider context, the everyday AI tools, and the words you will hear most.

Environment, privacy and agents

What to weigh up before AI becomes part of everyday work.

Safety

Environment

AI can be useful. It also has an environmental cost.

More context about Environment

AI can be useful. It also has an environmental cost. There is no settled calculator for the environmental impact of everyday charity AI use. Impact depends on model, task, data-centre operations, electricity, water, hardware, supplier and the total scale of use.

Start with the AI for Non-Profits resource, Using AI thoughtfully: the environmental impact. It gives people sensible practical actions without pretending every prompt has a fixed footprint.

Safety

Data, privacy and safety

Most everyday AI risk comes down to what goes into the tool.

More context about Data, privacy and safety

Most everyday AI risk comes down to what goes into the tool. Before anyone pastes in text, ask whether it contains personal data, special-category or sensitive information, safeguarding details, confidential organisational material or anything about people who have not agreed to it. If it does, stop and anonymise, use an approved tool with suitable data terms, or do the work another way.

  • Check the supplier's data terms: whether inputs are used for training, where data is stored, how long it is kept and how to delete it.
  • Prefer organisational accounts over personal ones, so the charity controls access and can close accounts when people leave.
  • Complete a Data Protection Impact Assessment where processing is likely to be high risk, including profiling or decisions about people.
  • Keep a human check on anything that is published, sent or used to make a decision about someone.
Safety

AI agents and automation

What an agent can access, change or send matters as much as what it can do.

More context about AI agents and automation

AI agents can work through a series of steps towards a goal, including searching files, using connected tools or taking actions. The question is not only whether an agent can do the work. It is what it can access, change or send, and what happens when it gets something wrong.

Start with the AI for Non-Profits guide, Before You Give AI Permission to Act. Use external material when a team needs more detail.

Tools

Common AI tools you may have come across, and other helpful tools.

These are tools we use in our day-to-day work, and useful places to explore. They are not blanket recommendations or organisational approval.

Tool

ChatGPT

ChatGPT, from OpenAI, is a chat-based AI assistant you type questions or instructions into, and it replies in writing.

More context about ChatGPT

What it is: ChatGPT, from OpenAI, is a chat-based AI assistant you type questions or instructions into, and it replies in writing.

Charity example: Drafting or checking the wording of a routine volunteer email, summarising notes that contain nothing confidential, or suggesting ideas for a newsletter feature.

What to check first: What it can do, and how your information is handled, depends on the account and plan you use. Check your organisation's approved account and the data settings before entering anything personal or confidential, and check every answer before you rely on it.

Tool

Claude

Claude, from Anthropic, is a chat-based AI assistant that responds to written questions and instructions.

More context about Claude

What it is: Claude, from Anthropic, is a chat-based AI assistant that responds to written questions and instructions.

Charity example: Making a draft policy easier to read, checking a letter for tone, or turning non-confidential meeting notes into a short summary.

What to check first: What it can do, and how your information is handled, depends on the account and plan you use. Check your organisation's approved account and the data settings before entering anything personal or confidential, and check every answer before you rely on it.

Tool

Microsoft Copilot

Microsoft Copilot is the name Microsoft uses for its AI assistant, which appears both as a standalone chat tool and inside some Microsoft products.

More context about Microsoft Copilot

What it is: Microsoft Copilot is the name Microsoft uses for its AI assistant, which appears both as a standalone chat tool and inside some Microsoft products.

Charity example: Drafting a first version of a meeting agenda, rewording text to make it clearer, or suggesting ideas for a volunteer thank-you message.

What to check first: There are several versions of Copilot, and what each one can see and do depends on your account, licence and organisation's settings. Do not assume work-account protections apply. Check which version your organisation has approved and how it handles data before entering anything personal or confidential.

Tool

Google Gemini

Google Gemini is Google's AI assistant, which you can use as a chat tool and which also appears in some Google products.

More context about Google Gemini

What it is: Google Gemini is Google's AI assistant, which you can use as a chat tool and which also appears in some Google products.

Charity example: Brainstorming event names, checking a draft for clarity, or summarising non-confidential notes into a few bullet points.

What to check first: What it can do, and how your information is handled, depends on the account and plan you use. Check your organisation's approved account and the data settings before entering anything personal or confidential, and check every answer before you rely on it.

Tool

Gemini Notebook

An AI research assistant that grounds its answers solely in the documents you upload.

More context about Gemini Notebook

What it is: An AI research assistant that grounds its answers solely in the documents you upload.

Charity example: Uploading your own published strategy documents to quickly query them or generate FAQs based strictly on the text.

What to check first: Ensure you have the right to upload the documents. Check that it hasn't missed nuances in your original text.

Tool

Granola

An AI-powered notepad for meetings that drafts notes from your conversation. Granola is UK GDPR compliant.

More context about Granola

What it is: An AI-powered notepad for meetings that drafts notes from your conversation. Granola is UK GDPR compliant.

Charity example: Capturing action points and decisions during an internal team meeting without distracting the host.

What to check first: Check whether the tool joins as a visible participant or records audio locally. Ensure attendees are informed.

Tool

Gamma

An AI tool for creating presentations, documents, and webpages rapidly.

More context about Gamma

What it is: An AI tool for creating presentations, documents, and webpages rapidly.

Charity example: Producing a quick slide deck outline for a training session from a list of bullet points.

What to check first: Review the layout, images, and content for accuracy and tone. Do not include confidential data in the prompt.

Tool

Wispr Flow

A voice dictation AI that turns speech into polished writing.

More context about Wispr Flow

What it is: A voice dictation AI that turns speech into polished writing.

Charity example: Dictating quick notes or a draft email while on the move or for accessibility purposes.

What to check first: Check the transcription for misunderstood words and ensure dictation is done in a private space if discussing sensitive topics.

Terms

The words you will hear most, in plain English.

Term

AI

Artificial Intelligence. Computer systems designed to perform tasks that typically require human intelligence.

Read more about AI

Artificial Intelligence. Computer systems designed to perform tasks that typically require human intelligence.

Example: Using a tool to automatically sort incoming queries or transcribe meeting audio.

Term

Generative AI

A type of AI that can create new text, images, or audio based on patterns it has learned.

Read more about Generative AI

A type of AI that can create new text, images, or audio based on patterns it has learned.

Example: Asking a tool to write a draft thank-you letter to donors.

Term

Large language model

The technology behind ChatGPT, Claude, Gemini and Copilot. It predicts likely words based on training patterns, but does not understand charity values or responsibilities like a person.

Read more about Large language model

The technology behind ChatGPT, Claude, Gemini and Copilot. It predicts likely words based on training patterns, but does not understand charity values or responsibilities like a person.

Example: Generating a plain-English summary of a complex regulatory document.

Term

Prompt

The instruction or question you give to an AI tool to tell it what to do.

Read more about Prompt

The instruction or question you give to an AI tool to tell it what to do.

Example: Typing 'Summarise this 10-page strategy into 3 bullet points suitable for volunteers.'

Term

Output

The text, image, or answer the AI produces in response to your prompt.

Read more about Output

The text, image, or answer the AI produces in response to your prompt.

Example: The draft email the tool creates for you to review.

Term

Hallucination

When an AI produces a confident but inaccurate or completely invented answer. These always need checking.

Read more about Hallucination

When an AI produces a confident but inaccurate or completely invented answer. These always need checking.

Example: An AI inventing a non-existent law when asked about charity regulations.

Term

Bias

Unfair preferences or prejudices in AI outputs, often inherited from its training data.

Read more about Bias

Unfair preferences or prejudices in AI outputs, often inherited from its training data.

Example: An AI tool using outdated or stereotypical language when describing a community you support.

Term

Human oversight

The crucial step of a person checking, reviewing, and taking responsibility for an AI tool's work.

Read more about Human oversight

The crucial step of a person checking, reviewing, and taking responsibility for an AI tool's work.

Example: A staff member reading and editing an AI-drafted report before it is sent to trustees.

Term

Source grounding

Restricting an AI to only find answers from specific, approved documents you provide.

Read more about Source grounding

Restricting an AI to only find answers from specific, approved documents you provide.

Example: Using NotebookLM to answer questions based only on your charity's internal handbook.

Term

Chatbot

A conversational interface where you talk back and forth with an AI.

Read more about Chatbot

A conversational interface where you talk back and forth with an AI.

Example: Using a conversational interface to explore ideas for a fundraising campaign.

Term

AI assistant

An AI tool integrated into software to help with everyday tasks like scheduling or writing.

Read more about AI assistant

An AI tool integrated into software to help with everyday tasks like scheduling or writing.

Example: An AI feature in your email program that suggests a polite reply.

Term

AI agent

An AI that can work through a series of steps towards a goal, including using connected tools or taking actions. Permissions and human approval are critical.

Read more about AI agent

An AI that can work through a series of steps towards a goal, including using connected tools or taking actions. Permissions and human approval are critical.

Example: An AI configured to read incoming emails, categorise them, and draft a suggested response for staff approval.

Term

Personal and organisational accounts

The difference between using your own private login versus a charity-managed account. Organisational accounts often have better data protection agreements.

Read more about Personal and organisational accounts

The difference between using your own private login versus a charity-managed account. Organisational accounts often have better data protection agreements.

Example: Using an enterprise Microsoft Copilot account where data is not used to train public models.

Term

Memory

A feature where the AI remembers details from past conversations to inform future answers.

Read more about Memory

A feature where the AI remembers details from past conversations to inform future answers.

Example: The AI remembering your charity's tone of voice guidelines from a previous chat.

Term

Temporary chat

A mode where the AI does not save the conversation history or use it for future training.

Read more about Temporary chat

A mode where the AI does not save the conversation history or use it for future training.

Example: Using temporary mode when discussing a sensitive, anonymised case study.

Term

Connectors and integrations

Ways to link an AI tool directly to your charity's other software, like databases or file storage.

Read more about Connectors and integrations

Ways to link an AI tool directly to your charity's other software, like databases or file storage.

Example: Linking an AI app to your Google Drive so it can search across all your documents.