The investigation of Lucy Letby has returned to public attention—but this time, the controversy isn’t about court proceedings or forensic evidence. It’s about artificial intelligence.
Netflix’s new documentary, The Investigation of Lucy Letby, has drawn criticism for its decision to use AI-generated human likenesses to anonymise contributors, a creative choice that many viewers say feels unsettling, distracting, and ethically questionable.
The film revisits a case that has already shocked the UK, adding new arrest footage and deeply emotional testimony from people affected by the events surrounding Lucy Letby. But while the subject matter is familiar, the method of storytelling is not.
AI Faces, Real Voices—and an Uncanny Effect
At the centre of the backlash are two contributors identified only as “Sarah” and “Maisie.” Their voices are real. Their words are real. Their pain is undeniably real. But their faces are not.
Each time they appear on screen, a caption reads “digitally anonymised.” What viewers see are AI-generated representations—synthetic faces designed to mimic human emotion. Tears form. Lips tremble. Eyes glisten. But none of it is physically real.
For many viewers, the result lands squarely in the uncanny valley.
“It was so distracting I couldn’t focus on the story,” one viewer wrote on Reddit. Another called the AI faces “freaky,” while others questioned why traditional methods—such as actors, silhouettes, or audio-only testimony—weren’t used instead.
Netflix Confirms AI Was Fully Generated
Netflix confirmed that the faces shown were entirely AI-generated, rather than digitally altered footage of the real contributors. The company said the approach was used “to protect the anonymity of the contributors at their request.”
That intention, few dispute. Given the sensitivity of the investigation of Lucy Letby, anonymity is both understandable and appropriate. The controversy lies not in why anonymity was preserved, but how it was done.
Critics argue that replacing real human presence with AI simulations undermines the very emotional authenticity the documentary seeks to convey.
When Technology Collides With Grief
Documentary filmmaking has long relied on an implicit pact with the audience: what you are seeing is real, and it represents reality as faithfully as possible.
By introducing AI-generated faces into emotionally charged testimony, some viewers feel that the pact begins to fray.
Grief, after all, is not just something people hear—it’s something they instinctively recognise in another human being’s face, posture, and silence. Even an actor would be one human interpreting another’s pain. An AI simulation, critics argue, is something else entirely.
In a story as harrowing as the investigation of Lucy Letby, where the goal is to humanise complex medical, legal, and procedural details, the use of synthetic emotion risks doing the opposite.
A Wider Question for Documentary Storytelling
The backlash highlights a broader issue facing modern media: should AI-generated humans have a place in factual storytelling?
While AI can be a powerful tool for anonymisation, translation, and accessibility, its use in representing grief and trauma raises difficult ethical questions—especially when viewers are not emotionally prepared for what they’re seeing.
Some argue it would have been better to deny the image altogether—using audio-only testimony, blurred visuals, or symbolic imagery—rather than turning deeply personal suffering into a visual effect.
Why the Debate Matters
The controversy surrounding The Investigation of Lucy Letby goes beyond one documentary. It touches on trust, authenticity, and the responsibility of storytellers in the age of AI.
As AI tools become easier to deploy, filmmakers and journalists may increasingly face similar choices. But when the subject is real people, real loss, and real grief, audiences are making one thing clear: authenticity still matters.
And once it’s compromised—even with good intentions—it’s hard to get back.
Don’t miss out on our latest news—follow us for the latest AI news, breakthroughs, and insights that matter