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When the Interview Doesn’t End – The Hidden Data Risk of AI-Recorded Video

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We’ve all laughed or been aghast at the accidental ‘live mic’ events when a broadcaster hadn’t realised their microphone was still live. But what if the following happened to you:

It was an ordinary interview.

Video call. Panel format. Candidate signs off. Hiring managers stay behind to debrief.
Except this time, the subject of the conversation hadn’t quite left the room.

In a recent live recruitment process, a candidate had recorded the interview without the hiring panel’s knowledge. When the candidate left the call first, the recording did not stop. The platform continued capturing the discussion between hiring managers – including candid feedback about the individual who had just been interviewed.

Mic drop moment.

In effect, the candidate walked away with the full post-interview deliberation.
The potential fall-out from such a moment is acutely embarrassing at best, financially and reputationally damaging at worst.

This nightmare scenario is not something many of us would have considered a risk prior to the current avalanche of AI-driven possibilities. But it is with us right now.

The legal reality: recording any meeting is personal data processing

Whether accidental or deliberate, the recording of a meeting creates an immediate data issue, with potential legal, ethical, and reputational consequences. As AI-powered video platforms increasingly offer automatic recording, transcription, and analysis features, many organisations are using tools they haven’t fully considered.

Any recording of a meeting – particularly relating to an external party such as a recruitment process – audio, video, transcript, or AI-generated summary – is personal data under UK GDPR. In many cases, it may also include special category data if health, background, or personal circumstances are discussed.

Understand Who Controls the Data

Who is responsible if the candidate records?

In a typical recruitment scenario involving a hiring company, a recruitment partner, and a candidate, the answer is rarely simple.

If the employer decides to record the interview, the employer is likely the data controller.
If the recruitment firm hosts the call, responsibility may be shared.
If the platform records automatically, there may also be a processor involved.

What is often overlooked is that a candidate recording the call is also processing personal data – but that does not remove the employer’s obligations if their systems allowed the recording without proper controls.

Under GDPR principles, transparency is critical. All participants must know if a recording is taking place, why it is happening, and how the data will be used.

Silent or unintended recording – even if caused by platform settings – can still expose the organisation to complaints, subject access requests, or regulatory scrutiny.

In the scenario above, the risk was not just that the interview was recorded. It was that the private evaluation discussion afterwards became part of the recording without anyone realising.
That changes the nature of the data entirely.

AI tools are moving faster than policy

Three in 10 UK employers are already using AI, according to research by StandOut CV, representing a threefold increase since 2022.

Across the industry, there is growing discussion about obligations when using AI in hiring – particularly around transparency, consent, and fairness. Organisations are expected to understand how technology is being used in their recruitment processes, not simply rely on platform defaults.

The reality is that many hiring managers assume someone else has checked the settings.

Practical steps hiring managers should take

Ford & Stanley Talent Services Group are not advocating stopping video interviews or AI-enabled tools. However, our recommendation is organisations should review their recruitment policies with the same discipline they apply to employee data, customer data, or financial information.

Steps we recommend:

  1. Decide whether interviews should ever be recorded
  2. Set platform controls, not just expectations
  3. Inform everyone clearly, every time, and ask all parties
  4. Separate interview time from deliberation and discussion time
  5. Most importantly, ENSURE EVERYONE ENDS AND LEAVES THE INTERVIEW CALL AND STARTS A NEW CALL BEFORE ANY DISCUSSIONS TAKE PLACE.