🚨FASCINATING AI PAPER ALERT: "Anthropomorphising machines and computerising minds: the crosswiring of languages between Artificial Intelligence and Brain & Cognitive Sciences" by @Floridi & @KiaNobre. Interesting quotes: "AI scientists speak of 'machine learning,' for example. The term was coined (or perhaps popularised, the debate seems open) by Arthur Samuel in 1959 to refer to 'the development and study of statistical algorithms that can learn from data and generalize to new data, and thus perform tasks without explicit instructions.' But this 'learning' does not mean what brain and cognitive scientists mean by the same term when referring to how humans or animals acquire new behaviours or mental contents, or modify existing ones, as a result of experiences in the environment." (page 2) - "The phenomenon of AI’s conceptual borrowing from BCS (brain and cognitive sciences) has been growing since the work of Alan Turing (Turing 1950), who influentially drew parallels to human intelligence and behaviour to conceptualise how machines might eventually mimic some aspects of biological cognition. But, perhaps the most problematic borrowing came with the generation of the label of the field itself: 'Artificial Intelligence.' John McCarthy was responsible for the brilliant, if misleading, idea. It was a marketing move, and, as he recounted, things could have gone differently" (page 5) - "What can be done to tackle this conceptual mess? Probably nothing in terms of linguistic reform. Languages, including technical ones, are like immense social currents: nobody can swim against them successfully, and they cannot be contained or directed by fiat. AI and BCS will keep using their terms, no matter how misleading they may be, how many resources they will make one waste, and how much damage they may cause in the wrong hands or contexts." (page 10) ➡️ The paper is an excellent exploration of the intersection between AI, philosophy, and human cognitive neuroscience. Link below.