"A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information."
Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, and Steeven Villa. 2024. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 299, 1–24. https://doi.org/10.1145/3613904.3642633
"A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information."
Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, and Steeven Villa. 2024. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 299, 1–24. https://doi.org/10.1145/3613904.3642633
"A Bayesian analysis showed that participants had high expectations and performed descriptively better irrespective of the AI description when a sham-AI was present. Using cognitive modeling, we could trace this advantage back to participants gathering more information."
Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, and Steeven Villa. 2024. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 299, 1–24. https://doi.org/10.1145/3613904.3642633
#Journals | Journal of the European Optical Society-
Rapid Publications "Comparison of helium and argon for the production of carbon monoxide (CO) by a plasma jet for biomedical applications"
“Starting with Volume 35 (2024), Cognitive Linguistics is transformed into a Diamond Open Access journal thanks to our subscribers participating in the Subscribe to Open (S2O) project. All current content will be published under a Creative Commons License (CC-BY 4.0) at no cost to authors and will be freely available to readers.”
“I analyze Machiavelli’s frequent references to hope throughout his corpus to offer an explanation of what he means by ‘hope,” examine the relation between hope and fear, and identify the benefits, dangers, and limits of these two foundational and complementary passions.”
AI deception: A survey of examples, risks, and potential solutions
"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."
AI deception: A survey of examples, risks, and potential solutions
"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."
AI deception: A survey of examples, risks, and potential solutions
“Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems.”
AI deception: A survey of examples, risks, and potential solutions
“Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems.”
AI deception: A survey of examples, risks, and potential solutions
"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."
AI deception: A survey of examples, risks, and potential solutions
"Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems."
"Byzantine diagrams are originated by Byzantine scholars in the early modern period to use as tools for teaching and studying Aristotelian logic. This paper presents pioneering work on employing Byzantine diagrams for checking syllogistic validity through reduction."
"This paper studies the constitutive role of cartography apropos law, territory, and social order, in a specific historical context, by examining the crucial political role played by the British East India Company's cartographic practices and maps in aspiring and imagining the transplantation and establishment of English sovereignty in the Indian subcontinent."
"The ultimate goal, I suggest, was a translatio imperii; the establishment of an imperial monarchy in the west that could rival the Habsburg empire, and which in time, perhaps, might even come to imitate the universal glory of the Roman imperium. Not the American Atlantic seaboard, but rather the continent of Europe, with its arms, its learning, and its treasure, was the goal of Bacon’s early imperial vision."
#Image attribution: Yale Center for British Art, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Anonymous_-_Sir_Francis_Bacon,_1st_Viscount_St_Alban_-_B1977.14.9772_-_Yale_Center_for_British_Art.jpg
"...our data suggested that the Japanese population could be best modeled by admixtures of three ancestral components (hereafter K1 to K3). K1 to K3 were the highest in Okinawa, Northeast, and West, respectively (Fig. 1D and table S4). K1 (Okinawa) component maintains a relatively stable fraction of around 12% in Hondo subgroups, except for South (which is a region adjacent to Okinawa), with a higher proportion of 22%. K2 (Northeast) and K3 (West) components showed a cline from West to East."
Xiaoxi Liu et al., Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci. Adv. 10, eadi8419 (2024). DOI: https://www.doi.org/10.1126/sciadv.adi8419
"This paper presents the first empirical evidence in the history of banking on the question of whether banks can create money out of nothing. The banking crisis has revived interest in this issue, but it had remained unsettled."
🇬🇧 🇪🇺 "Our results show that individuals who lacked wealth are less likely to support leaving the EU, explaining why so many Brexit voters were wealthy, in terms of their property wealth."
Green, J. and Pahontu, R.L. (2024) ‘Mind the Gap: Why Wealthy Voters Support Brexit’, British Journal of Political Science, pp. 1–21. doi: https://doi.org/10.1017/S0007123423000728.
🇬🇧 🇪🇺 "Our results show that individuals who lacked wealth are less likely to support leaving the EU, explaining why so many Brexit voters were wealthy, in terms of their property wealth."
Green, J. and Pahontu, R.L. (2024) ‘Mind the Gap: Why Wealthy Voters Support Brexit’, British Journal of Political Science, pp. 1–21. doi: https://doi.org/10.1017/S0007123423000728.
"Even though it was hoped that machines might overcome human bias, this assumption often fails due to a problematic or theoretically implausible selection of variables that are fed into the model and because of small size, low representativeness, and presence of bias in the training data [5.]."
Suchotzki, K. and Gamer, M. (2024) 'Detecting deception with artificial intelligence: promises and perils,' Trends in Cognitive Sciences [Preprint]. https://doi.org/10.1016/j.tics.2024.04.002.