“Here’s Uncle Joe. You might be unaware of this, but he developed a software to enhance machine aided cognition. He developed a program called ELIZA that he named after Shaw’s lead character in Pygmalion, the street vendor Eliza Doolittle. Essentially, in writing his AI, Uncle Joe addressed the problem of knowledge representation, particularly as it might apply to psychology.” *
You haven’t? But why not?
Of course, you know that the baby would not understand. However, you might argue that your using such sentences actually prepares the baby for a future vocabulary, English phonetics, and complex concepts. You might also argue that eventually, the baby will come to know the words and possibly later understand them in the context of artificial intelligence, psychology, and epistemology.
So, how do you talk to the baby? Well, you sometimes reduce yourself to babbling, to looking directly into the baby’s eyes to entertain it with expressions that accompany sounds. Basically, you condescend because you don’t believe the baby has attained your level of intelligence, of accumulated knowledge, of understanding, and of language.
You have spoken to people from all walks of life and from various cultures. Do you use the same level of speech, the same level of complexity, or the same level of colloquialism with all, regardless of their social status? In short, when you walk into a convenience store or a tire dealer, do you speak as you speak to a medical doctor, a biomedical engineer, or a tech CEO? You don’t? Why not? Is it because you have stereotyped your audience?
In Pygmalion or its Broadway version My Fair Lady, Professor Henry Higgins teaches Eliza to speak “properly” enough to pass for a duchess. The question, of course, is whether or not just using words “properly” entails understanding of complex ideas. Think SIRI. Or, think typing that text and sending it only to realize a split second after you hit “send” that your smart phone changed a word you intended to send, causing you to send another text with the corrected word. Because smart phones are used everywhere, the question of which language they use is important, but that’s not the only question. Which dialect and which vocabulary should the AI be programmed to hear and understand?
I remember hearing some politicians addressing southern Baptist congregations during campaign stops. During their speeches, the politicians used a dialect and a vocabulary they believed “fit” the audiences, a dialect and vocabulary that differed from what they used in addressing groups of “Northerners,” or “West Coasters,” or “the Rich and Powerful.” What caused the change? I also remember my first trip to the American South as a youth and saying to an elderly woman, “Yes, ma’am” in a dialect easily distinguished from my usual western Pennsylvanian speech. As I said it, I thought, “Where did that come from? I have never talked with a southern dialect.” Was I young and stupid, young and unsure of my identity, or young and politely deferential as I believed the woman wanted me to be?
Was I stereotyping?
Consider recent studies by Yale social psychologists Cydney Dupree and S. T. Fiske on the language used by conservatives and liberals. According to Dupree and Fiske (2019), “Most Whites, particularly sociopolitical liberals, now encores racial equality. Archival and experimental research reveals a subtle but persistent ironic consequence: white liberals self-present less competence to minorities than to other Whites—that is, they patronize minorities stereotyped as lower status and less competent” (Abstract). ** In a second study, Dupree (2021) found in a follow-up study the opposite of the “downshift” as Blacks and Latinos used a decidedly “upshifted” language to self-present as competent and knowledgeable and to separate themselves from stereotypes based on their racial or social backgrounds. ***
I suppose Dupree and Fiske could just as easily do another study on upshifting and downshifting within any racial, social, or professional group of people: Students, for example, relative to professors; professors, relative to grant providers; salesmen relative to clients. Across the human spectrum stereotypes often dictate how we self-present as either competent or incompetent. And much of it is based on a personal utility: The white northern politician seeking the votes of the deep southern Baptists adopts the “crowd-appropriate” language, even raising the voice at the end of a thought as if to say a loud “amen.” Comedians, of course, do the same, and in some sense there’s nothing wrong in downshifting or upshifting, especially when one seeks approval or laughs. But there is harm in pretending to be an advocate for equality while either subtly or blatantly expressing a belief in inequality through vocabulary or dialect. **** That makes the speaker a mere pettifogger, charlatan, deceiver, or pretender no different from a scam artist.
And I could suggest another study for Dupree and Fiske. “Do audiences detect overt condescension or flattering deference?” Do those to whom speakers self-present as incompetent understand that the self-presentation is a ruse based on the speaker’s stereotyping the audience as incompetent or inferior?
Further, I could suggest that you consider my own writing as an upshift, my effort to impress you with competence I don’t actually possess (as indicated by my use of the contraction). Am I a charlatan? Maybe. Just a thought.
But unlike a politician seeking votes or a salesman seeking sales, I want nothing from you other than what I post in the frontispiece to this website: My goal is for you to use what I write as a point of departure for your own insights. Regardless of any faulty thinking, unwarranted pretension, or genuine or false humility on my part, if I can inspire you to think, I’ve done more than just babble.
Notes:
*From its inception, artificial intelligence required a technology that tied either or both sounds and symbols to understanding. See J. Weizenbaum, “ELIZA: A Computer Program for the Study of Natural Language Communication between Man and Machine,” Communications of the ACM 1 (19656): 36-45, and by the same author, “Contextual Understanding by Computers,” in ACM 8 (1967) 474-480. https://dl.acm.org/doi/10.1145/365153.365168
**Dupree, C. H., and Fiske, S. T. (2019) Self-presentation in interracial settings: The competence downshift by White liberals. Journal of Personality and Social Psychology, 17(3), 579-604. https://doi.apa.org/doiLanding?doi=10.1037%2Fpspi0000166 Accessed July 30. 2021.
***Dupree, Cydney H., 22 July 2021. Black and Latinx conservatives upshift competence relative to liberals in mostly white settings. Nature Human Behaviour (2021). https://www.nature.com/articles/s41562-021-01167-9 Accessed July 30, 2021.
****I offer the following as examples. https://www.youtube.com/watch?v=UCyvyyo6dtQ and https://www.youtube.com/watch?v=UCyvyyo6dtQ Both accessed July 30, 2021.