The Racist Beginnings of Standardized Testing | NEA

Analytic racecraft: Race-based averages create illusory group differences in perceptions of racism.

Trial Data Reveals Racial Bias in Age Verification Software

New trial data reveals racial bias in age verification software used for social media restrictions. Discover how unreliable these systems really are now.

Les mesures de discrimination positive bénéficient-elles aux populations qu’elles ciblent ?

Les mesures de discrimination positive sont apparues il y a un demi-siècle : elles instaurant un traitement inégal des individus en vue de réduire les inégalités. Aux Etats-Unis, des politiques de discrimination positive (sous le nom d’« affirmative action...

How the LAPD and Palantir Use Data to Justify Racist Policing

In a new book, a sociologist who spent months embedded with the LAPD details how data-driven policing techwashes bias.

AI generates covertly racist decisions about people based on their dialect

Hundreds of millions of people now interact with language models, with uses ranging from help with writing1,2 to informing hiring decisions3. However, these language models are known to perpetuate systematic racial prejudices, making their judgements biased in problematic ways about groups such as African Americans4–7. Although previous research has focused on overt racism in language models, social scientists have argued that racism with a more subtle character has developed over time, particularly in the United States after the civil rights movement8,9. It is unknown whether this covert racism manifests in language models. Here, we demonstrate that language models embody covert racism in the form of dialect prejudice, exhibiting raciolinguistic stereotypes about speakers of African American English (AAE) that are more negative than any human stereotypes about African Americans ever experimentally recorded. By contrast, the language models’ overt stereotypes about African Americans are more positive. Dialect prejudice has the potential for harmful consequences: language models are more likely to suggest that speakers of AAE be assigned less-prestigious jobs, be convicted of crimes and be sentenced to death. Finally, we show that current practices of alleviating racial bias in language models, such as human preference alignment, exacerbate the discrepancy between covert and overt stereotypes, by superficially obscuring the racism that language models maintain on a deeper level. Our findings have far-reaching implications for the fair and safe use of language technology.

AI generates covertly racist decisions about people based on their dialect

Hundreds of millions of people now interact with language models, with uses ranging from help with writing1,2 to informing hiring decisions3. However, these language models are known to perpetuate systematic racial prejudices, making their judgements biased in problematic ways about groups such as African Americans4–7. Although previous research has focused on overt racism in language models, social scientists have argued that racism with a more subtle character has developed over time, particularly in the United States after the civil rights movement8,9. It is unknown whether this covert racism manifests in language models. Here, we demonstrate that language models embody covert racism in the form of dialect prejudice, exhibiting raciolinguistic stereotypes about speakers of African American English (AAE) that are more negative than any human stereotypes about African Americans ever experimentally recorded. By contrast, the language models’ overt stereotypes about African Americans are more positive. Dialect prejudice has the potential for harmful consequences: language models are more likely to suggest that speakers of AAE be assigned less-prestigious jobs, be convicted of crimes and be sentenced to death. Finally, we show that current practices of alleviating racial bias in language models, such as human preference alignment, exacerbate the discrepancy between covert and overt stereotypes, by superficially obscuring the racism that language models maintain on a deeper level. Our findings have far-reaching implications for the fair and safe use of language technology.

Toward an Anti-Racist Music Education: A Critical Pedagogy of Popular Music Teacher Education

In this article, we propose a framework for a critical pedagogy of popular music for teacher education to better prepare music teachers to enact anti-racist praxis within their classrooms. Although a growing body of literature in music education addresses issues of racism within the field, fewer scholars have studied this within teacher education. Drawing from critical pedagogy, our framework centers popular music as a means for music teacher educators to interrogate issues of identity and power and (re)contextualize pedagogy, considering the socio-political contexts and communities from which music practices originate. These processes facilitate reflection on how racisms shape taken-for-granted practices within music education by centering the socio-political contexts of popular music. Through our framework, music teacher educators could prompt pre-service music educators to consider the multiple racialized epistemologies of musical value students and teachers bring to the classroom, working toward the possibility of enacting a multicentric approach to music education.

Fairness is what the powerful ‘can get away with’ study shows

The willingness of those in power to act fairly depends on how easily others can collectively push back against unfair treatment

Race Science, Slavery, And The Unreality Of White Supremacy

The unreality that justifies white supremacy has shape shifted

The idea that oppressions are subconscious scares me - Lemmy

In order to understand oppression as a subconscious thing, let’s take a couple of examples. Many women complain that they express an idea that is immediately dismissed, only for a man to be cheered for saying the exact same thing, minutes later. I have witnessed time and again a woman pointing to the correct explanation or solution for a bug and a man just ignoring her repeatedly, only to exhaust all other solutions before arriving to the same conclusion and solution. There is a ton of lab research to show this goes beyond anecdotal evidence. Some researchers recently showed that for the same length of speech, women speakers were judged as being overtaking the dialog. In fact, the balance that the average listener gauged as fair was 70% male speech vs 30% female speech. Don’t get me started about bias of doctors, not only against women and transgender people, but, let’s face the elephant in the room, black people. A recent study had found that doctors hold outdated racist tropes, for instance, that black people are more resistant to pain. Doctors are also more likely to discount complains from any marginalized group, and send them home with a “have less stress” tap on the back, when in reality they do have something serious. The list goes on and on. There is a whole book, called “Dying of Whiteness”, which shows that white people are opposed to welfare measures, when they think that black people will benefit from welfare too. The number of leftist and anarchist people who maintain some blatant form of medicalized cisgenderism is astonishing. And this is not about transphobia only. The track record of many collectives with sexism is harrowing. Someone recently wrote “Why I am not giving to your mutual aid project”, TL;DR because every collective has a couple of skeletons of sexual abuse in their closet. Haven’t we all seen the silent machismo and the solidarity between male authority figures in these spaces? Whenever a story like this pops up, the whole repertoire of discount tropes for sexual abuse allegations is taken out from the secret place it is kept for emergencies like this. This is consequential for broader organization as well, not only gendered and racialized oppression. In a strict Bakunian sense, the informality of a circle of buddies pulling the strings on any topic of field of activity is a form of State. A kyriarchy, or oppression. And there are more oppressions that we don’t even know, in jobs, universities, hobbies, and more. Some of them can be traced back to sexism, like the hard-science superiority complex has sexist undertones, but wherever there is inequality, there is oppression. It seems that people have a predisposition to form groups and make rules that reify social categories, for instance when some universities are considered elite and others shitholes, or some squat is seen as true hardcore anarchists and the others as alternative lifestyle hippies. ALL of this operates subconsciously. For quite some time I thought that the channels of anarchist organization would remedy human predisposition towards inequality, oppression, and bias. I now realize that this can not happen automatically, but a serious component of self-reflection to transcend internalized kyriarchies must be necessary. But we now see the prevail of the most vulgar and raw inequality instincts, enabled by systemic capitalist indoctrination and consent manufacturing campaigning. And we know that this seed is also present in leftists and anarchists. I believe that something horrible is about to happen the following five to ten years. We will then reflect, as we did in the aftermath of the two first world wars, on human predisposition to outgroup, other, dehumanize and eliminate. We might as well reinvent the science of the human psychology of obedience, conformity, prejudice, oppression and kyriarchy. And anarchists might have to reinvent the principles of political organization, this time to include the understanding of subconscious oppression, and embrace procedures to address and transcend all kyriarchies. That would stay truth to the spirit of complete abolition of all State, including internalized states of mind. (The pun is not intended.) In fact, I finally tend to agree with some anarchist pedagogists, that preparing people to be active members in an equal society, free of oppressions, the work must start in childhood, to eradicate the instincts of property, selfishness, power and supremacy. So, although it might seem there could not be a bleakest time to raise such issues, that in fact the struggle for visibility, for the normalization of queer lives, for the subversion of verbal sexism, and so on and so forth, all were important and integral to the anarchist cause. The white male racist kleprocratists might shed ours and many of our siblings’ blood over the next ten years. But 2030’s anarchism will re-discover the procedures that engender these demands and bake the relentless struggle for complete equality right into the channels of anarchist social organization and generational reproduction.

Eyes on the Prize - Chicago Reader

Over more than two decades, Haki and Safisha Madhubuti have proved that African-centered education can amount to more than a black version of history. It can also be a springboard to a bright future.

Toward People’s Community Control of Technology: Race, Access, and Education

This field review explores how the benefits of access to computing for racialized and minoritized communities has become an accepted fact in policy and research, despite decades of evidence that technical fixes do not solve the kinds of complex social problems that disproportionately affect these communities.

Nikole Hannah-Jones’ school choice for her daughter sparks a debate over Black parents, education and sacrifice

Nikole Hannah-Jones's reflection on her daughter’s public school education sparks a larger debate about Black parents, opportunity and community.

Covert Racism in AI: How Language Models Are Reinforcing Outdated Stereotypes | Stanford HAI

Despite advancements in AI, new research reveals that large language models continue to perpetuate harmful racial biases, particularly against speakers of African American English.