Forschung in Bestform! Wir waren begeistert von den großartigen und spannenden Einblicken beim Postdoktorand:innen-Workshop im Vorfeld der Fachgruppentagung in #Salzburg. Danke an alle Teilnehmer:innen und Expert:innen!
We are visualizing our data all wrong.
Typically, academic graphs show statistical confidence intervals or standard errors. This paper shows that everyone from doctors to tenured faculty misread these graphs, assuming effects are larger. Show variability! https://t.co/Md5SU4E63C
Forscher der HSG und der @Stanford haben gemeinsam die Funktionsweise der KI hinter ChatGPT untersucht. Die im renommierten "Nature"-Journal veröffentlichte Studie zeigt, dass die KI menschenähnliche Mechanismen zur Spracherzeugung nutzt. #KI
https://t.co/k4T7uGKd88
If large language models like #gpt3 achieve human-like performance in language generation, do they also simulate the psychological mechanisms humans use in their language generation? 🧠
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3/4 However, there are also significant differences between GPT-3 and humans. GPT-3’s semantic activation is better predicted by similarity in words’ meaning (i.e., semantic similarity) rather than their co-occurrence in the language (i.e., associative similarity).
Lastly, we have Google’s @andrewthesmart, Pew’s @MonicaRAnders, Stanford��s Jeanne Tsai in a symposium on Fairness & Diversity in Online Experiences, with data blitzes from @therealJeffBerg’s on race & facial (mis)classification, @JanDigutsch’s on semantic priming in AI. #SPSP2022