Scientists, policymakers, and community leaders have undertaken numerous initiatives to combat racism in our society. While projects aimed at supporting victims and holding perpetrators accountable for racial violence provide some assistance, they often fail to address the deeper, systemic causes of racism. This challenge is compounded by the fact that individuals learn about race from various sources, including education and familial ties.
A significant hurdle in the fight against racism lies in the widespread misconception that race is a biological concept. This misunderstanding is perpetuated by the current educational framework, which simplifies genetic concepts by focusing on single-gene influences, thus overshadowing the complex interplay of genetics and environment.
Oversimplifying genetics can lead to a binary perception of how physical traits are inherited, ignoring the intricate realities of biology. Research indicates that early childhood experiences can significantly impact the genes responsible for stress regulation.
Past researchers have observed that when students learn that a single gene can determine a disease, they may erroneously generalize this to assume that all human differences, including race, stem solely from genetics. Although educators are striving to remove race-focused language from genetics instruction, the fundamental content and student assumptions often remain unchanged.
To address this issue, researchers like Brian Donovan have introduced a novel approach to genetic education through a framework called humane genomics. This perspective emphasizes the significant role of environmental factors on genetic expression, fostering an understanding that social interactions and surroundings are critical in distinguishing human racial groups.
To evaluate this approach, the research team engaged over 1,000 students from 14 high schools and one middle school across six states, including Colorado, Illinois, Indiana, Kansas, New Jersey, and Massachusetts. Each school participated with one biology teacher who underwent 40 hours of training on integrating humane genomics into their existing curricula. In half of the classes, a basic genetics unit was taught first, followed by a humane genomics unit, while the other half reversed this order.
Students completed surveys before the lessons and after each unit. The surveys assessed their knowledge of genetics and genomics, their beliefs regarding racism and its origins, and their reflections on the lessons learned. Findings indicated that students taught through the lens of humane genomics were 24% less likely to believe that genetics solely defines racial differences compared to those taught in traditional genetics. Moreover, 50% of students who experienced the humane genomics curriculum reported improved comprehension of how environmental factors influence human genetics.
Donovan and his team concluded that the methodology used to teach genetics in the United States significantly impacts students’ perceptions and understandings of race. However, they also noted that these conclusions are not yet applicable to educational contexts outside the U.S. Additionally, the need for further training for teachers to effectively deliver this innovative curriculum introduces added time and financial implications.
Despite these challenges, the research team believes their findings can reshape genetics education for the better. By prioritizing youth education, they aspire to instigate substantial societal change.
Scientists, policymakers, and community leaders are actively working to combat racism within our society. Although initiatives aimed at supporting victims and penalizing perpetrators of racial violence have had some success, they often fall short of addressing the fundamental causes of racism. The complexity of eradicating racism stems from its deep-rooted origins, learned through education, family influences, and societal narratives.
A significant hurdle is the widespread misconception that race is a biological construct, rather than a social one. This misunderstanding is perpetuated by our education system, which frequently simplifies genetics, emphasizing the influence of individual genes on a person’s characteristics.
This reductionist approach can lead students to adopt a binary view of genetics, overlooking the intricacies involved in the inheritance of physical traits. For instance, research has shown that early life experiences can affect the genes responsible for stress regulation.
indicate that when students learn that a single gene can dictate disease, they tend to generalize this idea to all human differences, including race. Although educators have sought to eliminate race-related terminology in genetic lessons, the core messages and student perceptions often remain unchanged.
Researchers, led by Brian Donovan, are addressing this issue by implementing a new paradigm for teaching genetic complexity, referred to as humane genomics . This innovative approach emphasizes the interplay between environmental factors and genetic expression, illustrating how social and environmental contexts significantly contribute to the diversity among racial groups.
To evaluate their framework, the team engaged over 1,000 students from 14 high schools and one middle school across six states: Colorado, Illinois, Indiana, Kansas, New Jersey, and Massachusetts. Each participating school had a biology educator who underwent 40 hours of training on how to integrate humane genomics with their existing curriculum. In half of the classes, the genetics unit preceded the humane genomics unit; in the remaining classes, these units were taught in the opposite order.
Students completed surveys both before and after the lessons. These questionnaires assessed their foundational knowledge in genetics and genomics, perceptions about racism, and insights gained from the lessons. Results showed that students who learned through the humane genomics framework were 24% less likely to attribute racial differences to genetic factors compared to those who learned strictly genetics. Moreover, 50% of students exposed to humane genomics reported a better understanding of how environmental influences impact human genetics.
The findings suggest that pedagogical approaches to genetics education can significantly shape students’ beliefs and understanding of race in the United States. However, the authors advise caution in generalizing these outcomes to other regions. Furthermore, additional teacher training is necessary for effectively delivering this innovative curriculum, resulting in both financial and temporal investments.
Despite these challenges, the research team aims to catalyze improvements in genetics education, with the hope that fostering informed perspectives among youth can lead to transformative societal changes.
Concerns have been raised that AI could exacerbate racism and sexism in Australia, as human rights commissioners expressed during internal discussions within the Labor party regarding new technologies.
Lorraine Finlay cautioned that while seeking productivity gains from AI is important, it should not come at the cost of discrimination if the technology remains unregulated.
Finlay’s remarks came after worker Sen. Michel Ananda Raja advocated for the “liberation” of Australian data to tech companies, noting that AI often reflects and perpetuates biases from abroad while shaping local culture.
Ananda Raja opposes a dedicated AI law but emphasizes that content creators ought to be compensated for their contributions.
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Discussions about enhancing productivity through AI are scheduled for the upcoming federal economic summit, as unions and industry groups voice concerns over copyright and privacy issues.
Media and Arts organizations have raised alarms about the “ramping theft” of intellectual property if large tech corporations gain access to content for training AI systems.
Finlay noted the challenges of identifying embedded biases due to a lack of clarity regarding the datasets used by AI tools.
“Algorithmic bias means that discrimination and inequality are inherent in the tools we utilize, leading to outcomes that reflect these biases,” she stated.
Lorraine Finlay, Human Rights Commissioner. Photo: Mick Tsikas/AAP
“The combination of algorithmic and automation biases leads individuals to rely more on machine decisions and potentially disregard their own judgment,” Finlay remarked.
The Human Rights Commission has consistently supported an AI Act that would enhance existing legislation, including privacy laws, and ensure comprehensive testing for bias in AI tools. Finlay urged the government to quickly establish new regulations.
“Bias tests and audits, along with careful human oversight, are essential,” she added.
Evidence of bias in AI technologies is increasingly reported in fields like healthcare and workforce recruitment in Australia and worldwide.
A recent survey in Australia revealed that job applicants interviewed by AI recruiters faced potential discrimination if they had accents or disabilities.
Ananda Raja, a vocal proponent for AI development, noted the risks of training AI systems using exclusively Australian data, as well as the concerns of amplifying foreign biases.
While the government prioritizes intellectual property protection, she cautioned against limiting domestic data access, warning that Australia would be reliant on overseas AI models without adequate oversight.
“AI requires a vast array of data from diverse populations to avoid reinforcing biases and harming those it aims to assist,” Ananda Raja emphasized.
“We must liberate our data to better train our models, ensuring they authentically represent us.”
“I am eager to support content creators while freeing up data, aiming for an alternative to foreign exploitation of resources,” Ananda Raja stated.
She cited AI screening tools for skin cancer as examples where algorithmic bias has been documented. To combat bias and discrimination affecting specific patients, it is essential to train these models on diverse datasets to protect sensitive information.
Finlay emphasized that any release of Australian data needs to be handled fairly, but she feels the emphasis should be on establishing appropriate regulations.
“It’s certainly beneficial to have diverse and representative data… but that is merely part of the solution,” she clarified.
“We must ensure that this technology is equitable and is implemented in a manner that recognizes and values human contributions.”
Judith Bishop, an AI expert at La Trobe University and former data researcher at an AI firm, asserted that increasing the availability of local data will enhance the effectiveness of AI tools.
“It is crucial to recognize that systems developed in different contexts can be relevant, as the [Australian] population should not exclusively depend on US data models,” Bishop stated.
eSafety Commissioner Julie Inman Grant has also voiced concerns regarding the lack of transparency related to the data applied by AI technologies.
In her statement, she urged tech companies to be transparent about their training datasets, develop robust reporting mechanisms, and utilize diverse, accurate, and representative data for their products.
“The opacity surrounding generative AI’s development and deployment poses significant issues,” Inman Grant remarked. “This raises critical concerns about the potential for large language models (LLMs) to amplify harmful biases, including restrictive or detrimental gender norms and racial prejudices.”
“Given that a handful of companies dominate the development of these systems, there is a significant risk that certain perspectives, voices, and evidence could become suppressed or overlooked in the generated outputs.”
Kion West can talk about an anecdote about racism that he has experienced on a daily basis, but does not. He says that a personal testimony rarely persuades someone, is often rejected or is cleared for another reason that is not so unpleasant. He prefers to focus on facts instead of emotions caused by racist behavior and racist accusations.
Social psychologists at the Goldsmith School at the University of London have integrated hundreds of strict demonstration research on racist discrimination for decades in new books. Science of racism。 He scientifically accurately accurate what modern racism and the complexity surrounding it by exploring how racism can be detected through experiments and the effects on society as a whole. We are building a whole picture.
It is clear that society to fight racism is still inadequate, but there are many things that can be done. The same study, which proves racism, can help all of you to elucidate psychological exercises that almost everyone is doing to hide racist behavior from themselves. The idea of such personal prejudice can gradually solve many racist behavior.
In this interview, the waist describes a method that is backed by science to discover various outfit racism, showing light on ideas such as reverse ratism and organized racism. He wants to change direction to confront racism from the front, because public debate discusses whether racism exists.
Amalachi Orie: What is racist discrimination?
Kion West: There are two definitions that may be useful. There is something useful for conducting scientific experiments. Racism is everything.
I I considered leaving Twitter shortly after Elon Musk bought it in 2022 because I didn't want to be part of a community that could potentially be bought, much less by a guy like him. Soon, the nasty “long and intense” bullying of staff began. But I've had some of the most interesting conversations of my life on Twitter, randomly, hanging out, or being invited to talk. “Has anyone else been devastatingly lonely during the pandemic?” “Has anyone had a relationship with a boyfriend or girlfriend from middle school?” We called Twitter a place to tell the truth to strangers (Facebook is a place to lie to friends), and the breadth of it was mutual and wonderful.
After the BlueCheck fiasco, things got even more unpleasant: identity verification became something you could buy, which made you less trustworthy. So I joined a rival platform, Mastodon, but quickly realized I'd never get 70,000 followers like I did on Twitter. I wasn't looking for attention. In itself, But my peers were less diverse and less loud, and my infrequently updated social media feeds gave me the eerie, slightly depressing feeling of walking into a mall only to find that half the stores are closed and the rest are all selling the same thing.
In 2023, the network now known as X began. Sharing advertising revenue with “premium” usersthen I joined Threads (owned by Meta), where all I see are strangers confessing to petty misdemeanors. I stayed with X, where everything is darker. People get paid for engagement indirectly through ads. It's also a bit vague. It's described as “revenue sharing,” but it doesn't tell you which ad revenues were shared with you. So you can't measure revenue per impression. Is X splitting it 50/50? Or is it 10/90? Are they actually paying you to generate hate?
Elon Musk: “Infiltrated into far-right politics” Photo: Getty Images
“What we've seen is that controversial content drives engagement,” says Ed Saperia, president of the London School of Politics and Technology. “Extreme content drives engagement.” It's become possible to make a living creating harmful content. My 16-year-old son noticed this long before I did with Football X. People are going to say obviously wrong things for the clicks of hate. David Cameron Similar to Catherine the GreatBut that's nothing compared to the engagement you get when attacking, say, transgender people. High-profile tweets are surfaced directly to the top of the “for you” feed by a “black box algorithm designed to keep you scrolling,” said Rose Wang, COO of another rival, Blue Sky, which serves up a constant stream of repetitive topics designed to annoy users.
As a result of these changes, “the platform has become inundated with individuals who were previously banned from the platform, ranging from extremely niche accounts to people like Tommy Robinson and Andrew Tate,” says Joe Mulhall, head of research at Hope Not Hate. We saw the impact of this reality this August when misinformation about the identity, ethnicity and religion of the killer of three girls in Southport sparked overtly racist unrest across the UK the likes of which had not been seen since the '70s. “Not only was X responsible for creating an atmosphere for rioting, it was also a central hub for the organisation and distribution of content that led to rioting,” says Mulhall.
A man named Wayne O'Rourke, a “keyboard warrior,” was convicted of inciting racial hatred on social media after the August race riots. Monthly salary of £1,400 From his activities at X. The vocal Laurence Fox last month Earn a similar amount Posted on X. O'Rourke had 90,000 followers, but Tommy Robinson has over a million followers and presumably makes a lot more money.
Meanwhile, governments have no surefire remedy, even when, as Mulhall puts it, “decisions made on the US West Coast clearly impact our communities.” In April, Brazilian President Luiz Inacio Lula da Silva sought to suspend fewer than 100 X accounts for hate speech and fake news, mainly as supporters of his predecessor Jair Bolsonaro challenged the legitimacy of his defeat. X refused, and also declined to defend itself in court. On Monday, Brazil's Supreme Court unanimously upheld the platform-wide ban, saying the platform “considers itself above the rule of law.” From a business perspective, it's surprising that Musk didn't try harder to avoid it, but there may be other things he values more than money, such as exemption from government and democratic constraints.
Tommy Robinson…Musk has rescinded the ban from X. Picture: James Manning/PA
So is it moral to remain on a platform that has done so much to help bring the politics of division and hate from our keyboards into real life? Is X worse than Facebook or TikTok or (wow!) YouTube? And is it intentionally bad? In other words, are we watching Musk's master plan unfold?
“This is not the first time that extremist content has been circulating online,” Saperia says. “There are a lot of bad platforms, and a lot of bad things are happening there.” X's problem may not be bad regulation, he points out, but bad enforcement. And it's not just X's problem. “Have you seen the UK court system these days? Cases from five years ago are being tried. Without the law, society would be impossible.”
While X may be a catalyst for inciting and rallying civil unrest, from the Jan. 6 storming of the U.S. Capitol to Southport and beyond, Saperia says it's important to keep in mind that “politics is shifting rightward, but not just because of the media environment, but also for complex economic reasons: the middle-class West is getting poorer.” Donald Trump may have shocked the traditional U.S. media by speaking directly to voters with his crude and increasingly insane messages, but it's naive to think that a complacent public resting on a prosperous future would embrace his authoritarian moves. Whether social media is funding it or not, the anger is there, and “all the mainstream platforms have generally failed at hate speech,” Mulhall says. “They didn't want this content, but they were struggling to deal with it. And after Charlottesville, they made some progress.” [the white supremacist rally in 2017] Or Capitol Hill.”
Still, Hope Not Hate divides far-right online activity into three strains: mainstream platforms like X, Instagram, and Facebook that are not interested in fascism but are struggling to eradicate it and perhaps do not invest enough in moderation and regulation; hijacked platforms like Discord and Telegram that started as chat sites and messaging services and became the far-right’s favorite chat apps, probably due to their superior privacy or encryption; and bespoke platforms like Rumble (partially funded by fundamentalist libertarian billionaire Peter Thiel), Gab (which became a center of mainly anti-Semitic hate after the gunman of the 2018 Pittsburgh synagogue shooting posted his manifesto there) or Parler, which was acquired by Kanye West in 2022 after he was banned from Instagram and Twitter for anti-Semitism.
Synthesis: Guardian Design; X
“Twitter is unconventional,” Mulhall says. “It's ostensibly a mainstream platform, but now it has its own moderation policies. Elon Musk himself is steeped in far-right politics, so it's behaving like it's its own platform, which is what makes it so different. And it's so much more harmful, so much worse. And it's also because, although it has terms of service, it doesn't necessarily enforce them.”
Musk's commitment to free speech is surprisingly unconvincing. He used it to veto Lula's demands in Brazil, but was happy to oblige Narendra Modi's demands in India, where he suspended hundreds of accounts linked to the Indian farmer protests in February. “Free speech is a tool, not a principle, for Musk,” Mulhall says. “He's a techno-utopian with no attachment to democracy.”
But global civil society finds it very difficult to summarily reject the free speech argument because the counterargument is so dark: that many billionaires – not just Musk, but Thiel of Rumble, Parler's original backer, Rebecca Mercer (daughter of Breitbart funder Robert Mercer), and indirectly, billionaire sovereigns like Putin – have succeeded in transforming society and destroying the trust we have in each other and in institutions. It is much more comfortable to think that they are doing it by chance, simply because they love “free speech,” than to think that they are doing it deliberately. “The key to understanding neo-reactionary and ‘dark enlightenment’ movements is that these individuals have no interest whatsoever in maintaining the status quo,” says Mulhall.
“In some jurisdictions, the actions of state rulers and billionaires are pretty much correlated,” Saperia says. We see that in Russia. “Putin is using the state to manipulate social media to create polarization. That's pretty much proven,” Mulhall says. But where tech and politics don't line up, politics doesn't often prevail. Governments seem pretty powerless in the face of these tech giants. “Racial hatred and attempted murder are being nurtured on these platforms,” Mulhall says. “And people don't even believe it's possible to get Musk to Congress.”
Andrew Tait leaves court in Bucharest. Photo: Alexandre Dobre/AP
In Paris, Telegram founder Pavel Durov is under formal investigation over allegations that the app is linked to organized crime, and Musk is named as a defendant in a cyberbullying lawsuit brought by gold medallist Imane Kheriff. The boxer, who was born female and has never identified as transgender or intersex, has faced defamatory claims about her gender with an X from a number of public figures, including British politician J.K. Rowling and Donald Trump. Meanwhile, Andrew Tait has Charged by Romanian authorities He writes about human trafficking and rape, but his online The fantasy of misogyny The policy, which has far-reaching implications around the world, of treating women as a slave class has not received the same condemnation as YouTube, Insta, TikTok and Facebook's bans from their platforms, while the freedom to operate freely on X has lessened the impact of these bans and led to them being reversed. The EU has at least been more successful than the US in holding social media giants to the same corporate responsibility as, say, pharmaceutical or oil companies, but regulations are still scrambling to keep up with a changing reality where the sector is moving from the virtual to the real world at an ever-increasing rate.
But governments don't need to step in and tell us to stop using X. We can do it ourselves. Brazilians who don't use Twitter are migrating to Bluesky, which Twitter co-founder Jack Dorsey founded in 2019. “We've had a tumultuous four days alone. As of this morning, we've added nearly 2 million new users,” Bluesky's Wang said Monday. If we all did that (I did!), would the power of X disappear? Or will it just be divided into good and bad places?
Bluesky serves a similar purpose to X, but is designed quite differently. Wang explains: “No one organization controls the platform. All the code is open source, and anyone can copy and paste the entire code. We don't own your data; you can take it wherever you want. We have to acquire your users through performance, or you'll go away. It's a lot like how search engines work: if you make them attractive by putting ads everywhere, people will go to another search engine.”
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