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🎗️ Why people embrace conspiracy theories: It's about community, not gullibility
https://phys.org/news/2025-08-people-embrace-conspiracy-theories-community.html

Why people embrace conspiracy theories: It's about community, not gullibility
Psychologists have long considered how a tendency towards irrational thinking or particular personality traits might predict people's interest in conspiracies. Yet these individual factors do not explain the group processes through which conspiracy theorists are extending their influence and impact.

Concepts in AI Governance: Personality vs. Personalization
https://fpf.org/blog/concepts-in-ai-governance-personality-vs-personalization/
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Imbalance in Balance: Online Concept Balancing in Generation Models
Yukai Shi, Jiarong Ou, Rui Chen, Haotian Yang, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Kun Gai
https://arxiv.org/abs/2507.13345

Imbalance in Balance: Online Concept Balancing in Generation Models
In visual generation tasks, the responses and combinations of complex concepts often lack stability and are error-prone, which remains an under-explored area. In this paper, we attempt to explore the causal factors for poor concept responses through elaborately designed experiments. We also design a concept-wise equalization loss function (IMBA loss) to address this issue. Our proposed method is online, eliminating the need for offline dataset processing, and requires minimal code changes. In o…

RFK Jr.’s Wi-Fi and 5G conspiracies appear to make it into MAHA report draft - Ars Technica
https://arstechnica.com/health/2025/08/maha-draft-takes-on-electromagnetic-radiation-echoing-rfk-jr-s-conspiracies/

Nonlinear Concept Erasure: a Density Matching Approach
Antoine Saillenfest, Pirmin Lemberger
https://arxiv.org/abs/2507.12341 https://

Nonlinear Concept Erasure: a Density Matching Approach
Ensuring that neural models used in real-world applications cannot infer sensitive information, such as demographic attributes like gender or race, from text representations is a critical challenge when fairness is a concern. We address this issue through concept erasure, a process that removes information related to a specific concept from distributed representations while preserving as much of the remaining semantic information as possible. Our approach involves learning an orthogonal project…

Reducts of fuzzy contexts: Formal concept analysis vs. rough set theory
Yuxu Chen, Jing Liu, Lili Shen, Xiaoye Tang
https://arxiv.org/abs/2509.13059 https://

Reducts of fuzzy contexts: Formal concept analysis vs. rough set theory
We postulate the intuitive idea of reducts of fuzzy contexts based on formal concept analysis and rough set theory. For a complete residuated lattice $L$, it is shown that reducts of $L$-contexts in formal concept analysis are interdefinable with reducts of $L$-contexts in rough set theory via negation if, and only if, $L$ satisfies the law of double negation.

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang, Fernando Diaz, Flavio du Pin Calmon, Margaret Mitchell, Michael Ekstrand, Reuben Binns, Solon Barocas
https://arxiv.org/abs/2506.14652

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
In AI research and practice, rigor remains largely understood in terms of methodological rigor -- such as whether mathematical, statistical, or computational methods are correctly applied. We argue that this narrow conception of rigor has contributed to the concerns raised by the responsible AI community, including overblown claims about AI capabilities. Our position is that a broader conception of what rigorous AI research and practice should entail is needed. We believe such a conception -- i…

🤠 Overconfident conspiracy theorists: Many unaware their beliefs are on the fringe
https://phys.org/news/2025-06-overconfident-conspiracy-theorists-unaware-beliefs.html

Overconfident conspiracy theorists: Many unaware their beliefs are on the fringe
Overconfidence is a hallmark trait of people who believe in conspiracies, and they also significantly overestimate how much others agree with them, Cornell psychology researchers have found. The study indicates that belief in conspiracies may be less about a person's needs and motivations and more about their failure to recognize that they might be wrong.