What to know before you automate

It’s the topic on everyone’s agenda and there’s no limit to it’s potential in the workplace. But the speed at which AI is transforming the way we work is cause for caution, because with speed comes oversight. And in HR, this introduces new risks that can damage trust, break compliance rules, and even hurt your talent pipeline.

As we dive into experimenting with the technology ourselves, here are some of the hidden cautions HR leaders should consider before diving headfirst into AI adoption.


The cautions HR must keep in mind

1. Bias in, bias out

AI learns from historical data, and if that data contains bias, the AI will replicate it.
Example: A recruitment algorithm trained on past hires may favour candidates from certain universities or with similar career paths to existing employees.

The risk: Unconscious bias becomes automated bias, potentially violating anti-discrimination laws.

The safeguard: Regularly audit your datasets and test AI outputs for fairness. Involve your Diversity & Inclusion team in tool selection and monitoring.


2. Transparency & explainability

Some AI tools operate like a “black box,” where even the vendor can’t fully explain how a decision was reached. Take a recent example in the US with a global candidate management system being sued for bias: anyone older than 40 years old weren’t making it through to screening based on a setting they were unaware of.

The risk: You can’t justify why one candidate was shortlisted over another, leaving you exposed if challenged.

The safeguard: Choose AI systems with explainable algorithms and keep human review as a non-negotiable step before making final decisions.


3. Data privacy & security

HR holds sensitive personal data: health information, salary details, performance records.

The risk: AI tools may store or process data in insecure ways, or outside your legal jurisdiction, leading to breaches or non-compliance.

The safeguard: Ensure AI vendors meet local and international data protection requirements (e.g., GDPR, Privacy Act), and review how and where data is stored.


4. Over-reliance on automation

AI can save time, but it can’t replace human empathy, judgement, or understanding of context.

The risk: Critical people decisions become dehumanised, damaging culture and trust.

The safeguard: Treat AI as a decision-support tool, not a decision-maker. Always keep humans in the loop for sensitive or complex matters.


5. Ethical & legal compliance

AI in HR is a fast-moving legal frontier.

The risk: Unintended discrimination, breaches of workplace law, or falling foul of new AI-specific regulations.

The safeguard: Consult with legal and ethics teams before implementation, and review systems regularly to ensure ongoing compliance.

To reap the benefits of AI without falling into the traps, consider:

  • Human-in-the-loop: Always maintain human oversight.
  • Regular audits: Check for bias, accuracy, and compliance.
  • Cross-functional collaboration: Work with IT, Legal, and D&I teams from the start.
  • Employee communication: Be transparent about how AI is used in processes that affect staff.

AI can be a powerful partner for HR – when handled with care. Our suggestion isn’t to avoid AI entirely, but to adopt it in a way that combines technological efficiency with human empathy and ethical oversight.

Because at the end of the day, HR isn’t just about data, it’s about people. And people decisions deserve nothing less than both the best of tech and the best of humanity.