Article
Culture
Masculinity
5 min read

Russell Brand and the bystanders: how to say enough is enough

When calling out misogyny, low standards are expected of men. Tiffany Bluhm assesses the ‘Say Maaate’ campaign and explores bystander intervention. Part of the Problem with Men series.

Tiffany Bluhm is a speaker and the author of Prey Tell: Why We Silence Women Who Tell the Truth and How Everyone Can Speak Up. She speaks and writes at the intersection of justice and faith for conferences, churches, and companies.

Three young men sit on a couch. One is leering at a phone while the others look on hesitantly
The 'Say Maaate' interactive video encourages users to pick a moment to act.
Mayor of London.

 In the wake of headlines filling our news feed reporting a story, yet again, of a pop culture icon taking advantage of women, be it Russell Brand or “That 70’s Show” star, Danny Masterson, we’re quick to say “enough is enough,” but perhaps the question to ask is “how do we stop it?” What standards are we expecting of men as individuals and as a collective whole? How will they self-edit their interactions with women? What do we expect of men in the workplace, at the gym, at church, or in the public square? We know what we don’t want them to do, leverage their power, privilege, or platform at a woman’s expense, but that’s an undeniably low bar. What could they do to stop each other before their actions get out of hand? 

Before heinous stories of sexual violence are aired on the BBC or CNN, we’re holding the communal line of what we’ll accept from men. 

After learning of the ‘Say Maaate’ campaign—a public information campaign inviting male mates to call each other out when they witness misogynistic tendencies toward women without jeopardizing the friendship thus jeopardizing the influence on each other—I recognized its brilliance lies in its interception of misconduct before it gains momentum or is considered high stakes. Before heinous stories of sexual violence are aired on the BBC or CNN, we’re holding the communal line of what we’ll accept from men, be it sexist jokes or public harassment. This endeavor, which includes bystander intervention, where those within eyeshot or earshot will attempt to distract and intervene in a potentially hazardous situation when men assert unsolicited dominance or advances toward women, is so successful that it’s employed by the United States military and countless higher education universities and colleges in the States. It puts the onus not on the woman impacted during the encounter, but on those around her, to step up and intervene at the first sign of a power imbalance, ranging from a man standing too close, to a woman darting her eyes to avoid eye contact, to outright sexual and verbal harassment. 

Bystander intervention invites the bystander to disrupt the moment, and after the moment has passed, confront the antagonist with either the benefit of the doubt, “maaate,” if deserving, or a “Man, she didn’t like that, read the room.” Lastly, it beckons the bystander to check on the woman who was the recipient of unwanted harassment. Bystander intervention provides much-needed boundary reminders of what we will and won’t accept in a society where the moral arc of the universe desperately needs to bend toward justice. This practice refuses to normalize women’s subjugation or sexualization, it offers a lifeline where there hasn’t been one before, with women left to their own defences against men with no intention of respecting them.  

I feared the ramifications of speaking up against a man with more clout than I. 

Interestingly, men with power—financial, organizational, political, celebrity—perceive themselves to be more attractive, assume women want them, and sexualize interactions with women. In a world where women are often playing by men’s rules, this makes for disastrous outcomes. Far too many women fear they’ll lose access to their place of perceived or actualized power if they speak up for themselves, or other women, who’ve been maligned, even slightly, by men with power and poor intentions. In my own experience, I feared the ramifications of speaking up against a man with more clout than I. How would this affect my social and professional standing in my community? Would others perceive that I have an axe to grind when that wasn’t the case? Would they frame me as prudish? Would they assume I asked for it? Would they assume I’m trying to unnecessarily take down a “good guy.” Instead of speaking up when the stakes were small, after an off-handed comment, sexist joke, or a lingering hug, I assumed this is just how it is, boys will be boys. If I want to get by in this world, I must put up with it. 

If only the men listening would have thrown him a “maaate.”  

Research shows that this pompous approach men exhibit toward women starts on the playground in primary school, gains steam in the locker room in secondary school, cements itself in university culture, (what Americans refer to as “frat culture”) and before we know it, twentysomething men are carrying this toxic idea of what it means to engage women into adult life, and further, it’s celebrated, as was the case of Brand’s public persona. Too often harassment and misogynistic tendencies of any sort equate to validation of masculinity. In this line of thinking, the subtext is that women exist to be dominated, harassed, or taken advantage of for the sheer pleasure of men. This is the genius of bystander intervention; it swiftly reckons with the subtext of a culture hellbent on letting men get away with whatever they want and whoever they want. 

He addresses her harassers, beckoning them to examine their own lives rather than fixate on hers. 

While the Christian church is no stranger to sexual trysts or infractions by men of the cloth, the ethos of Jesus regards women as worthy not of subjugation nor sexual harassment, but respect and dignified engagement. He modeled this respect and casts a vision for women to find solace and safety in men, never harm. 

A great example of bystander intervention in history starts with pious religious leaders attempting to trap the counter-cultural rabbi Jesus by throwing a woman at his feet, alleging she engaged in adultery, a crime, at the time, worthy of public stoning. A clear imbalance of power, with a woman’s life as collateral for trapping Jesus, the religious leaders wondered if he might keep allegiance to the law or break from it. They made the encounter about Jesus; Jesus centered the encounter on protecting the woman who’d been dragged to the public square. Jesus first intervenes by writing in the sand as his answer to the question posed by the leaders. Her physical safety is of utmost importance as evidenced by his actions. Then, he addresses her harassers, beckoning them to examine their own lives rather than fixate on hers. Finally, he checks in with the undoubtedly traumatized woman, a mere prop in an attempt to trap a man who modeled equality and respect between the sexes. 

If bystander intervention was effective 2,000 years ago to protect and uphold women’s dignity and safety, and has modern success in the military and on university campuses, maybe there’s room for the men in our community to prevent harm before it happens? Maybe we can right cultural wrongs? Maybe before learning of Brand’s misconduct, we’ll learn of a bystander who stepped in before a sexist slur was accepted in everyday conversation or intervened when a woman was uncomfortable. Since the issue is not weak femininity but toxic masculinity, maybe men can learn to say, “Enough is enough.” 

Article
AI
Culture
5 min read

What AI needs to learn about dying and why it will save it

Those programming truthfulness can learn a lot from mortality.

Andrew Steane has been Professor of Physics at the University of Oxford since 2002, He is the author of Faithful to Science: The Role of Science in Religion.

An angel of death lays a hand of a humanioid robot that has died amid a data centre
A digital momento mori.
Nick Jones/midjourney.ai

Google got itself into some unusual hot water in recently when its Gemini generative AI software started putting out images that were not just implausible but downright unethical. The CEO Sundar Pichai has taken the situation in hand and I am sure it will improve. But before this episode it was already clear that currently available chat-bots, while impressive, are capable of generating misleading or fantastical responses and in fact they do this a lot. How to manage this? 

Let’s use the initials ‘AI’ for artificial intelligence, leaving it open whether or not the term is entirely appropriate for the transformer and large language model (LLM) methods currently available. The problem is that the LLM approach causes chat-bots to generate both reasonable and well-supported statements and images, and also unsupported and fantastical (delusory and factually incorrect) statements and images, and this is done without signalling to the human user any guidance in telling which is which. The LLMs, as developed to date, have not been programmed in such a way as to pay attention to this issue. They are subject to the age-old problem of computer programming: garbage in, garbage out

If, as a society, we advocate for greater attention to truthfulness in the outputs of AI, then software companies and programmers will try to bring it about. It might involve, for example, greater investment in electronic authentication methods. An image or document will have to have, embedded in its digital code, extra information serving to authenticate it by some agreed and hard-to-forge method. In the 2002 science fiction film Minority Report an example of this was included: the name of a person accused of a ‘pre-crime’ (in the terminology of the film) is inscribed on a wooden ball, so as to use the unique cellular structure of a given piece of hardwood as a form of data substrate that is near impossible to duplicate.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. 

It is clear that a major issue in the future use of AI by humans will be the issue of trust and reasonable belief. On what basis will we be able to trust what AI asserts? If we are unable to check the reasoning process in a result claimed to be rational, how will be able to tell that it was in fact well-reasoned? If we only have an AI-generated output as evidence of something having happened in the past, how will we know whether it is factually correct? 

Among the strategies that suggest themselves is the use of several independent AIs. If they are indeed independent and all propose the same answer to some matter of reasoning or of fact, then there is a prima facie case for increasing our degree of trust in the output. This will give rise to the meta-question: how can we tell that a given set of AIs are in fact independent? Perhaps they all were trained on a common faulty data set. Or perhaps they were able to communicate with each other and thus influence each other.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. We know humans in general are capable of both ignorance and deliberate deception. We manage this by building up degrees of trust based on whether or not people show behaviours that suggest they are trustworthy. This also involves the ability to recognize unique individuals over time, so that a case for trustworthiness can be built up over a sequence of observations. We also need to get a sense of one another's character in more general ways, so that we can tell if someone is showing a change in behaviour that might signal a change in their degree of trustworthiness. 

In order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

Issues of trust and of reasonable belief are very much grist to the mill of theology. The existing theological literature may have much that can be drawn upon to help us in this area. An item which strikes me as particularly noteworthy is the connection between suffering and loss and earning of trust, and the relation to mortality. In brief, a person you can trust is one who has ventured something of themselves on their pronouncements, such that they have something to lose if they prove to be untrustworthy. In a similar vein, a message which is costly to the messenger may be more valuable than a message which costs the messenger nothing. They have already staked something on their message. This implies they are working all the harder to exert their influence on you, for good or ill. (You will need to know them in other ways in order to determine which of good or ill is their intention.)  

Mortality brings this issue of cost to a point of considerable sharpness. A person willing to die on behalf of what they claim certainly invests a lot in their contribution. They earn attention. It is not a guarantee of rationality or factual correctness, but it is a demonstration of commitment to a message. It signals a sense of importance attached to whatever has demanded this ultimate cost. Death becomes a form of bearing witness.  

A thought-provoking implication of the above is that in order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

In the case of human life, even if making a specific claim does not itself lead directly to one's own death, the very fact that we die lends added weight to all the choices we make and all the actions we take. For, together, they are our message and our contribution to the world, and they cannot be endlessly taken back and replaced. Death will curtail our opportunity to add anything else or qualify what we said before. The things we said and did show what we cared about whether we intended them to or not. This effect of death on the weightiness of our messages to one another might be called the weight of mortality. 

In order for this kind of weight to become attached to the claims an AI may make, the coming death has to be clearly seen and understood beforehand by the AI, and the timescale must not be so long that the AI’s death is merely some nebulous idea in the far future. Also, although there may be some hope of new life beyond death it must not be a sure thing, or it must be such that it would be compromised if the AI were to knowingly lie, or fail to make an effort to be truthful. Only thus can the pronouncements of an AI earn the weight of mortality. 

For as long as AI is not imbued with mortality and the ability to understand the implications of its own death, it will remain a useful tool as opposed to a valued partner. The AI you can trust is the AI reconciled to its own mortality.