Artificial intelligence (AI) is now a daily companion to people across all industries – including HR. Whether it's streamlining admin, generating content or sparking ideas, readily available AI tools like ChatGPT, Claude, and Perplexity are helping lighten the load across the profession.
HR plays a uniquely trusted role within organisations, and that trust comes with real responsibilities. As AI becomes more embedded in HR workflows, the risks around data privacy, bias, and legal compliance grow. And the truth is, general-purpose AI tools are not built for the realities of HR.
The good news? With a thoughtful approach, HR teams can harness AI's benefits without compromising their duty of care. Below, we share six practical pointers to help HR professionals use AI safely and ethically – and introduce how our own AI capabilities have been designed with these concerns in mind.
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- Beware of ‘hallucinations’ and always apply human oversight
- Know your legal landscape – and remember, AI is not the expert
- Protect personal and sensitive data at all costs
- Keep AI access secure – that means no shared logins, ever
- Use AI in ways that align with your organisation’s values and capabilities
- Watch out for bias – in the AI and in yourself
- How Ciphr is building AI with HR trust and safety in mind
How to use AI in HR technology safely
Beware of ‘hallucinations’ and always apply human oversight
You've likely heard the term 'AI hallucination' – but in HR, it's more than a technical curiosity. It's a potential reputational and legal risk.
Hallucinations are AI-generated outputs that seem confident but are factually incorrect or entirely made up. When using tools like ChatGPT to generate draft policies, summaries or communication templates, it's essential that a human expert carefully reviews every output.
Imagine asking AI to summarise disciplinary procedures or generate an email around employee grievances. If the model misrepresents the facts – or worse, makes assumptions based on employment law in another country – it could cause confusion, erode trust or even lead to a compliance breach.
The fix? When you're looking to use AI in HR, be sure to use AI as a thinking partner, not a decision-maker. Let it spark ideas and lighten cognitive load but always verify the content before sharing or acting on it.
“When used as a thinking partner, AI can drastically improve both the quality and time to create documents. You can use AI tools to perform deep web research, generate some thinking points to move past ‘blank page fear’, expanding your thoughts in-keeping with existing company documents and much more.” - Simon Witkiss, chief product officer at Ciphr
2. Know your legal landscape – and remember, AI is not the expert
AI tools are trained on vast datasets, many of which are sourced from global content. That means they often lack nuance when it comes to local employment laws and HR regulations.
For example, data privacy requirements in the UK (under GDPR) differ significantly from those in the US or other jurisdictions. Likewise, redundancy processes, legal rights and employee benefits frameworks vary from country to country – and AI tools don't automatically know which apply in your context.
If you're based in the UK and using a general AI tool, double-check that the guidance aligns with UK-specific legislation – including the Data (Use and Access) Act 2025, which introduced new safeguards around AI and automated decision-making. And if you work for a multinational organisation, ensure your content is relevant to each region's legal requirements.
When in doubt, ask a compliance expert – not a chatbot.
3. Protect personal and sensitive data at all costs
This one's simple, but crucial: never share personally identifiable information (PII) with an open AI tool. That includes names, job titles, emails, salary details, performance reviews, grievances – and anything else that could trace back to a real individual.
Most public AI tools retain user inputs for a period to improve model performance. Even if the platform claims to anonymise your data, it still introduces the risk of sensitive information being stored or used in ways you can't control.
To stay safe:
- Anonymise any scenarios before pasting into AI tools
- Do not upload documents with real employee data
- Strip out metadata and identifiers from example cases
- Use dummy data when you test or experiment
HR is all about trust – and trust is easy to lose if employee information is mishandled.
4. Keep AI access secure – that means no shared logins, ever
It might seem harmless to share a login for an AI tool among your team. In HR, that's a risk you can't afford.
Shared credentials can make it impossible to track who accessed what, and when. They also make it easier for accidental or intentional misuse to go unnoticed. If someone inputs sensitive HR data into a public tool under a shared login, you may not even know it happened – and by then, the damage is done.
Instead:
- Create individual accounts for each team member
- Apply suitable permissions for each user's role
- Enable two-factor authentication where available
Security isn't just about technology. It's about behaviours – and good habits start with access control.
5. Use AI in ways that align with your organisation’s values and capabilities
If you use AI tools in a professional capacity, it's worth investing in a secure, enterprise-grade solution. For example, you might consider Microsoft 365 Copilot – an enterprise AI platform that operates within your existing Microsoft 365 security boundary, respects your existing access permissions and sensitivity labels, and does not use your prompts or responses to train its underlying models. For UK organisations, it supports GDPR compliance and ISO/IEC 27018 certification.
That said, even enterprise tools carry risks that require attention. If a user has access to sensitive files – such as internal documents – Copilot inherits that access. Excessive data permissions are a real concern, and organisations should review data access controls before rollout.
If a full enterprise solution isn't available to you yet, there are still steps you can take to reduce risk:
- Check whether your AI tool offers enterprise data protection – and if so, enable it
- Clear chat histories and cached data regularly
- Avoid signing into AI tools with work email addresses tied to sensitive systems
Above all, set boundaries. Define where and when AI is appropriate in your workflows – and make sure your team understands what safe use looks like.
Bonus tip: watch out for bias – in the AI and in yourself
AI models reflect the data they've been trained on – and that data often includes historical biases, outdated norms, or skewed perspectives. Whether you're drafting job descriptions, evaluating employee feedback or planning future workforce strategy, AI suggestions can subtly reinforce stereotypes or introduce unfair assumptions.
Even more subtly, AI can introduce confirmation bias. It may provide information that reinforces your existing view, simply because that's what the prompt implied. As an HR professional, your job is to challenge assumptions – not confirm them.
Use AI outputs as a springboard, not a blueprint. And always run them through your ethical lens.
How Ciphr is building AI with HR trust and safety in mind
We understand the power and potential of AI. We also understand the responsibility that comes with handling people data.
That's why we've integrated carefully designed AI functionality within our HR software that:
- Draws only from your existing, secure HR data – such as performance reviews and one-to-one notes
- Aggregates insights over the past 12 months, so you get context-rich summaries without introducing new risks
- HR-specific guardrails in the models reduces the chance of hallucinations or biased outputs
- Operates fully within your secure HR environment and existing user permissions, keeping you compliant with GDPR and other relevant regulations
In other words, you get the efficiency of AI with the security and precision HR demands. No data leaks. No blind spots. No shortcuts.
Whether you're preparing for a performance review, building out a development plan or simply trying to spot patterns across your team, our AI in HR technology helps you move faster and smarter – while staying secure and in control.
“We know organisations are rightly protective of their people data, so at Ciphr we were very deliberate and conscious of our responsibilities when designing our AI functionality. We wanted to build tools that let you get the most out of AI , while ensuring your data is kep secure and private, and that it isn’t used by AI models in their general training.” - Simon Witkiss, chief product officer at Ciphr
Remember: AI is a tool, not a replacement for judgement
AI can help HR professionals reclaim time, generate ideas, and make better decisions. But it is not a substitute for expertise, empathy or accountability, and it should always be used with clear oversight.
Used carelessly, AI can introduce risk. That is why the way it is implemented matters. In HR, where sensitive data and trust are critical, AI should operate within a secure, controlled environment and not rely on open inputs or external data sources.
Ciphr’s AI functionality is built with this in mind. OurHR AI assistant and form summarisation tools operate within your HR environment, use approved internal data, and respect existing access permissions. This allows teams to automate routine queries and administrative tasks without exposing sensitive information or losing control over data access.
MyTeamBuilder extends this approach. It supports workforce planning and decision-making within the same secure framework. It helps HR teams generate insights while keeping data protected and aligned with internal governance.
In this context, AI becomes a practical and trustworthy support tool. It helps HR teams save time, improve consistency, and focus on higher-value work without compromising security or accountability.
If you'd like to learn more about how our built-in HR AI functionality can help your organisation, download our AI factsheet. Or, if you want to see it in action, book a free, no-strings-attached demo with our experts.
Disclaimer: The information shared in this blog post is for general guidance and informational purposes only. Ciphr does not provide legal, compliance or data security advice. Organisations should consult qualified legal, compliance and data protection professionals to ensure their use of AI in HR technology aligns with applicable laws, regulations and best practices.
This article was first published in July 2025. It was updated and republished in May 2026 for freshness, clarity, and accuracy.