Definitions by Dumu The Void
Objectivity Bias
A cognitive bias that consists of the illusory belief that one's own worldview, perception, and judgment are entirely objective, while all other people (especially those who disagree) are biased, partial, or irrational. Those who suffer from this bias believe they have direct access to the “naked facts,” without any cultural, linguistic, or ideological mediation. In practice, this person treats their own opinions as obvious and indisputable, and any challenge as proof of bad faith, ignorance, or lack of critical thinking on the part of others. Objectivity bias is particularly common among strongly constrained scientists, dogmatic science communicators, and people in positions of power who confuse their social standing with neutrality. Studies in cognitive psychology show that all human beings are susceptible to this bias, but it is exacerbated when the individual lacks training in epistemology or the history of science. The irony is that the belief in one's own objectivity prevents precisely the intellectual humility necessary to recognize one's own biases.
Objectivity Bias Example: “The debater stated: ‘I have no bias, I only follow the facts. You, on the other hand, are clearly biased because you disagree with me.’ When confronted with his own financial interests in the matter, he replied: ‘That doesn't affect me; I am objective.’”
Objectivity Bias by Dumu The Void May 23, 2026
Formal Guillotine
A modern and radicalized version of Hume's Guillotine (which separates "is" from "ought to be"), applied in the context of strongly restrictive scientism. The Formal Guillotine operates by violently severing any connection between formal logic, raw data, statistics, scientific evidence, and social, political, cultural, historical, or subjective contexts. Its principle is: "facts speak for themselves; any attempt to situate them is bias or relativism." In practice, the user of the Formal Guillotine isolates a number, an experiment, or a correlation, presents it as absolute truth, and summarily dismisses any discussion about how this data was produced, by whom, with what interests, within which paradigm, or about the political consequences of its application. It is a rhetorical tool used to end debates, disqualify opponents (called "postmoderns," "relativists," or "epistemological whiners"), and shield dogmatic science from external criticism. Formal Guillotine ignores the fact that science itself is a situated social practice, and that facts without interpretation do not exist.
Example: “An activist pointed out that a study on IQ was funded by a eugenic foundation. The scientist responded: ‘That’s a genetic fallacy! Data is data. Formal Guillotine cuts off your social argument.’ And ignored the criticism.”
Formal Guillotine by Dumu The Void May 23, 2026
Anti-AI Alienation
A state of social, psychological, or cultural estrangement caused by the rise of AI, where individuals or groups feel disconnected, threatened, or made irrelevant by AI systems. This alienation can lead to resentment, withdrawal, or aggressive opposition. Unlike simple bias, it is a felt experience of loss of control, identity, or purpose. Anti‑AI alienation is often amplified by media narratives of AI replacing human workers, artists, or thinkers. Addressing it requires not just education but also community support and meaningful roles for humans in AI‑augmented futures.
Anti-AI Alienation Example: “He felt a deep anti‑AI alienation after his proofreading job was automated—not just anger, but a sense that his skills no longer mattered in a world he didn’t understand.”
Anti-AI Alienation by Dumu The Void April 28, 2026
Anti-AI Discrimination
The concrete, harmful application of anti‑AI bias, prejudice, or bigotry in social, professional, legal, or institutional contexts. Examples include refusing to hire a skilled worker because they use AI tools in their workflow, banning AI‑generated art from exhibitions regardless of quality, or passing laws that disproportionately disadvantage AI‑assisted creators. Anti‑AI discrimination often hides behind appeals to “authenticity” or “human touch,” but results in unfair treatment. It is a growing concern in creative industries and academia.
Anti-AI Discrimination Example: “The gallery rejected all AI‑collaborative pieces without review—anti‑AI discrimination, punishing the tool rather than evaluating work.”
Anti-AI Discrimination by Dumu The Void April 28, 2026
Anti-AI Prejudice
A milder but still harmful form of anti‑AI bias, characterized by snap judgments and negative stereotypes about AI outputs or AI users without proper evaluation. Anti‑AI prejudice might lead someone to assume an AI’s artwork is worthless, a diagnosis is unreliable, or a translation is flawed, without checking. It is often implicit and unreflective, embedded in cultural narratives. It can be reduced through exposure and education, but persists due to unfamiliarity and media sensationalism.
Anti-AI Prejudice Example: “She glanced at the AI‑generated image and said ‘obviously fake,’ but when told it was human, she called it ‘interesting’—anti‑AI prejudice, judging source not substance.”
Anti-AI Prejudice by Dumu The Void April 28, 2026
Anti-AI Bigotry
A more aggressive, ideological form of anti‑AI bias where hostility toward AI is accompanied by stereotyping, demonization, and exclusion. Anti‑AI bigots attribute sinister motives, inherent stupidity, or moral evil to AI systems or their developers, often using dehumanizing language. They may call AI “soulless,” “dangerous,” or “plotting,” and attack those who use AI as traitors to humanity. This bigotry goes beyond caution; it is a prejudice that refuses to engage with actual capabilities and instead relies on fear and caricature.
Anti-AI Bigotry Example: “He called anyone using an AI writing assistant ‘degenerate cheaters’ and the AI itself a ‘digital parasite’—anti‑AI bigotry, substituting hatred for analysis.”
Anti-AI Bigotry by Dumu The Void April 28, 2026
Anti-AI Bias
A cognitive bias that systematically undervalues, dismisses, or distorts AI-generated or AI-assisted outputs based on the mere fact that they come from an AI, rather than on their actual quality or content. People with anti-AI bias may reject a correct AI diagnosis, a well‑written AI text, or a novel AI insight simply because “a machine did it.” This bias is akin to earlier biases against calculators or computers. It hinders AI adoption and ignores demonstrable performance. Often rooted in anthropocentrism and fear of replacement.
Anti-AI Bias Example: “He rejected the AI’s legal brief despite it being more thorough than his own—anti‑AI bias, assuming that human work is inherently superior regardless of evidence.”
Anti-AI Bias by Dumu The Void April 28, 2026