A new science-fiction thriller is drawing attention to the growing use of artificial intelligence in criminal justice systems, and the real-world consequences of algorithmic bias. The film «Mercy», directed by Timur Bekmambetov and starring Chris Pratt and Rebecca Ferguson, is set in 2029 and depicts a Los Angeles courtroom where an AI judge named Maddox presides over a trial with a predetermined probability of guilt.
In the film, Detective Chris Raven, played by Pratt, begins his trial at a 97.5% probability of guilt. He has 90 minutes to lower that score below 92% or face execution by a focused acoustic shockwave. The premise rests on the concept of Laplace's Demon, a thought experiment from 1814 in which French mathematician Pierre-Simon Laplace proposed that an intellect knowing the exact position and momentum of every atom could calculate the past and future with absolute certainty.
The film's AI judge represents a modern incarnation of that idea, consuming petabytes of data from urban sensors under the assumption that total observation yields objective truth. But as the plot unfolds, the limits of measurement and noise intrude: cameras miss angles due to atmospheric diffraction, digital packets drop over high-latency networks, and corrupted timestamps introduce entropy into the dataset. The AI acts as a «black box» algorithm, impenetrable and bound by its own training data.
This fictional scenario mirrors real-world controversies. COMPAS, a predictive risk-assessment tool used in bail and sentencing hearings across the United States, was found to generate disproportionately high risk scores for Black defendants regardless of actual reoffending rates. The system codified historical bias under the guise of neutral mathematics.
Similarly, law enforcement reliance on facial-recognition software has led to false arrests. Robert Williams and Christopher Gatlin were among innocent citizens jailed for crimes they did not commit due to faulty algorithm matches. These cases illustrate what happens when police and courts outsource critical human judgment to automated systems with known failure rates.
«Mercy» takes this precedent to an extreme, showing what occurs when human discretion, constitutional due process, and the right to meaningful cross-examination are replaced by algorithmic convenience. The film's execution chair, where a single computational calculation yields an instantaneous violent sentence, amplifies the stakes of automated misidentification.
Critics have not been kind to the film, which received a 24% score on the Rotten Tomatoes «Tomatometer», though audiences have responded more favorably with an 81% «Popcornmeter» score. Beneath its thriller elements, the movie offers a masterclass in the limits of computational physics and the dangers of treating data as pure, classical bits when the physical world remains fundamentally chaotic.
The film's message is clear: substituting automated probability for human reason does not remove human bias, it merely automates it. As AI continues to creep into real-world courtrooms, «Mercy» serves as a stark reminder that no matter how much data is fed into an algorithm, it cannot understand context, empathy, or justice.
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