Review

Culture

Film & TV

Justice

Race

18 September 2024

6 min read

Rebel Ridge switches the code on corrupt coppers and body counts

An action movie tackling the all-time low trust in public bodies.

Krish Kandiah

Krish is a social entrepreneur partnering across civil society, faith communities, government and philanthropy. He founded The Sanctuary Foundation.

Two men stand off against each other, one holds a holstered gun.

Don Johnson and Aaron Pierre.

Netflix.

I wasn’t expecting to emotionally connect with this straight-to-Netflix action movie but Rebel Ridge is not a normal action film. It may be sitting at the number one position on the Netflix film charts, with its echoes of a classic Jack-Reacher-style thriller, but where it surprises and stands apart is in its challenging and nuanced handling of race, violence and corruption.

Race

Like Lee Child’s character Jack Reacher, Terry Richmond played by Aaron Pierre is a former US military officer. He is a private person, self-confident, respectful, comfortable with his own company and willing to go the extra mile to help a cousin who has got himself in a mess. Despite his lowly job in a restaurant, Terry happens to have financial means as well as expert survival and hand-to-hand combat skills. He is also Black.

The opening sequence shows Terry cycling into a small town when he is accosted by two local – white - police officers. Suddenly the dynamic changes. The determined, self-confident, resourceful man becomes the downtrodden object of a series of abuses and injustices. Terry tries everything to deescalate the problem, without success. Nevertheless, he remains polite, referring always to the officers who deal with him as “Sir”, and finding things to thank them for.

I found myself relating to this, remembering times that I have had to deal with abusive power and hoping that if I remain calm, polite and respectful, I could win the other side over. Some have called this “respectability politics” – the pressure on marginalized groups, particularly Black people, to behave in a manner that aligns with dominant cultural norms - including being overly-polite or restrained - especially in the face of abusive power or injustice. Another term for this is "code-switching," where minority groups feel the need to adjust behaviour, language, or appearance to fit into a different cultural context, often in response to systemic power imbalances.

Terry tries everything to get out of his situation with minimum disruption. But things deteriorate so far so quickly that Terry realises that nothing he can say or do will allow him to extricate himself. Cornered in this way, he is forced to pursue justice by other means.

It is hard not to see this film without remembering the death of George Floyd. That terrible incident in May 2020 highlighted racial disparities in policing in the US: 13 per cent of the American population is Black, yet they account for about 25-28 per cent of police killings each year. According to the Mapping Police Violence project, Black people are up to three times more likely to be killed by police than white people - between 2013 and 2022, about 7,000 Black Americans were killed by police.

The UK’s police services have had to admit to similar disparities. Black people are seven times more likely to be stopped and searched compared to white people in England and Wales. In London, where stop-and-search powers are more frequently used, Black individuals make up around a third of all stop and searches, despite representing about 13 per cent of the city's population. From arresting, handcuffing, the use of taser, remanding in custody and more, data shows that racial disparities are evident across the service. These disparities undermine trust in the police service, which in turn can inhibit the cooperation and information sharing needed to reduce crime and protect citizens.

The racial tensions that permeate the movie give viewers a glimpse into what it is like to be mistrustful of those who are supposed to help and serve us. As such it is a masterpiece in raising awareness of racism wherever it is experienced, and the fear and injustice that go with it.

Violence

Terry is huge, athletic and highly skilled. Like most movies of this genre, I was expecting the protagonist to be pushed to breaking point, thereby unleashing a wave of violence so severe and overwhelming that he becomes an unstoppable killing machine.

In Taken, Bryan Mills, played by Liam Neeson, kills almost 100 people, mainly of Albanian nationality, by gunfire, strangulation and electrocution, on his quest to protect his family. In the more recent John Wick series of films, Wick, played by Keanu Reeves, a retired assassin, kills over 400 people in a wave of violence initiated by the theft of a car and the killing of a puppy.

But Rebel Ridge is different. A key thread in the movie is the use of Escalation of Force–Non-Lethal Effects (EoF-NLE), meaning the use of verbal warnings, warning shots, non-lethal explosives and physical restraint tools like tasers or pepper spray that are supposed to minimise the risk of injury and death. In the film, the corrupt police officers have not only illegally raised money to buy this equipment they have also profited from renting out their EoF-NLE to third parties.

Terry shows himself to be a different kind of hero, with a stronger moral compass than the police service as he uses their own EoF-NLE against them. On one occasion we watch as he loads and racks his gun, only to use it in self-defence. He is an avenging angel unleashed who refuses to kill people. There are plenty of showdowns, but the final total body count is one.

Corruption

Many action movies, Taken and John Wick included, contain little social commentary. Rebel Ridge, on the other hand, is prepared to tackle some significant social issues. The corruption around EoF-NLE and militarisation of local police forces is one example. The other questionable practice that gets much discussion is “civil asset forfeiture” - an anti-drug regulation that allows a police officer to seize cash and other valuables with no due process. Both issues as portrayed in this film highlight the wider question of accountability of policing, as well as the potential for corruption that comes with its absence.

Indeed, it's not just about ‘bent coppers’ – the whole justice system is shown to be at risk in this film. The local judge is implicated in the corruption, and the state prison, as expected, fails to protect. The impact is pervasive. We see a conflicted black female police officer, a court worker struggling to get court support, and many others who stand idly by because they don’t seem to know what is right or good anymore.

At a time when trust in public bodies is at an all-time low – this film, despite its non-violent and subversive tropes, presents to us a heroic rebel with a higher moral compass who goes against the flow and pushes back against the system to try and fix things. It may not restore faith in our society’s institutions – but perhaps it does restore faith in something else.

Although the director, Jeremy Saulnier, claims Rebel Ridge was not based on a true story, I cannot help thinking of a true story that might have inspired it. I am reminded of Jesus Christ, the most famous rebel in history, who was killed in a showdown on a ridge outside Jerusalem for speaking out – lashing out even - against the corruption in the religious institutions of his time, for taking an anti-racist stance, and for living in a way that went against the flow. It reminds me of the lengths he went to get those he loved freed from the mess they had gotten themselves into, and the price he paid to try and save them from certain death. Like Rebel Ridge, the ending to that story remains open: who will take up the call and will true justice ever be served?

Article

Culture

Generosity

Psychology

Virtues

28 April 2025

5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.

Henna Cundill

Henna is a researcher with the Centre for Autism and Theology at the University of Aberdeen.

A desperate man wearing 18th century clothes holds candlesticks

Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences.

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that:

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”

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