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    Home » Why we should thank pigeons for our AI breakthroughs
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    Why we should thank pigeons for our AI breakthroughs

    ProfitlyAIBy ProfitlyAIAugust 18, 2025No Comments4 Mins Read
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    That is largely in keeping with the work of one other psychologist, Robert Rescorla, whose work within the ’70s and ’80s influenced each Wasserman and Sutton. Rescorla encouraged folks to think about affiliation not as a “low-level mechanical course of” however as “the training that outcomes from publicity to relations amongst occasions within the setting” and “a major means by which the organism represents the construction of its world.” 

    That is true even of a laboratory pigeon pecking at screens and buttons in a small experimental field, the place scientists fastidiously management and measure stimuli and rewards. However the pigeon’s studying extends outdoors the field. Wasserman’s college students transport the birds between the aviary and the laboratory in buckets—and skilled pigeons soar instantly into the buckets at any time when the scholars open the doorways. A lot as Rescorla prompt, they’re studying the construction of their world contained in the laboratory and the relation of its components, just like the bucket and the field, despite the fact that they don’t all the time know the particular job they are going to face inside. 

    Comparative psychologists and animal researchers have lengthy grappled with a query that abruptly appears pressing due to AI: How will we attribute sentience to different residing beings?

    The identical associative mechanisms by way of which the pigeon learns the construction of its world can open a window to the type of inside life that Skinner and lots of earlier psychologists stated didn’t exist. Pharmaceutical researchers have lengthy used pigeons in drug-discrimination duties, the place they’re given, say, an amphetamine or a sedative and rewarded with a meals pellet for appropriately figuring out which drug they took. The birds’ success suggests they each expertise and discriminate between inner states. “Is that not tantamount to introspection?” Wasserman requested.

    It’s exhausting to think about AI matching a pigeon on this particular job—a reminder that, although AI and animals share associative mechanisms, there may be extra to life than conduct and studying. A pigeon deserves moral consideration as a residing creature not due to the way it learns however due to what it feels. A pigeon can expertise ache and endure, whereas an AI chatbot can’t—even when some massive language fashions, skilled on corpora that embody descriptions of human struggling and sci-fi tales of sentient computer systems, can trick folks into believing in any other case. 

    Psychologist Ed Wasserman skilled pigeons to detect cancerous tissue and signs of coronary heart illness in medical scans as precisely as skilled physicians.

    UNIVERSITY OF IOWA/WASSERMAN LAB

    “The intensive private and non-private investments into AI analysis in recent times have resulted within the very applied sciences which are forcing us to confront the query of AI sentience immediately,” two philosophers of science wrote in Aeon in 2023. “To reply these present questions, we want the same diploma of funding into analysis on animal cognition and conduct.” Certainly, comparative psychologists and animal researchers have lengthy grappled with questions that abruptly appear pressing due to AI: How will we attribute sentience to different residing beings? How can we distinguish true sentience from a really convincing efficiency of sentience?

    Such an enterprise would yield information not solely about know-how and animals but in addition about ourselves. Most psychologists most likely wouldn’t go so far as Sutton in arguing that reward is sufficient to clarify most if not all human conduct, however nobody would dispute that individuals usually study by affiliation too. In truth, most of Wasserman’s undergraduate college students finally succeeded at his latest experiment with the striped discs, however solely after they gave up looking for guidelines. They resorted, just like the pigeons, to affiliation and couldn’t simply clarify afterwards what they’d discovered. It was simply that with sufficient observe, they began to get a really feel for the classes. 

    It’s one other irony about associative studying: What has lengthy been thought-about probably the most complicated type of intelligence—a cognitive capacity like rule-based studying—could make us human, however we additionally name on it for the simplest of duties, like sorting objects by colour or measurement. In the meantime, among the most refined demonstrations of human studying—like, say, a sommelier studying to style the distinction between grapes—are discovered not by way of guidelines, however solely by way of expertise. 

    Studying by way of expertise depends on historic associative mechanisms that we share with pigeons and numerous different creatures, from honeybees to fish. The laboratory pigeon just isn’t solely in our computer systems however in our brains—and the engine behind a few of humankind’s most spectacular feats. 

    Ben Crair is a science and journey author primarily based in Berlin. 



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