Category Archives: Rhetorical Mastery

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The Dilemmas and Possibilities of Intersubjectivity

We look to our peers as much as the facts to confirm what we want to understand as settled issues.

We live in what is sometimes described as a “post-truth” age, where groups or individuals find supporters sharing questionable claims. Indeed, it’s not possible to study everyday human rhetoric without coming away with at least some respect for the idea of “post-truth” “intersubjectivity,” meaning that a cluster of people and media can agree on as “true,” “right,” or “just.” Even our naturally subjective selves can usually find others who share the same views.

It is the way of human groups to promote narratives that gain traction and acceptance, even if those looking in from the outside may see some clearly shaky reasoning. We look to our friends, influencers and family to confirm what we want to consider settled issues. Or a reference group may be climate deniers, religious groups, and any number of social media followers who have collected themselves in islands of intersubjective harmony. Acknowledging this process helps us see how the absurd can still be sustained within the culture.

It is hard to fathom how those living with the rhetorical knots that Donald Trump gleefully creates can see their beliefs as consistent or generous. But American myopia in the face of charlatans is baked into the culture. This is a country with a long history of witch-burners, fakers, impostors, con artists, land thieves, promoters of religious fairy tales, and ordinary larcenists. Finding ways to put a rhetorical covering on dubious acts or beliefs is relatively easy in a country this large.

This ease of believing in a fraudulent activity is seen in the documentary You Can See Everything (2026), which explores the ambiguities of belief expressed by convicted felon Elizabeth Holmes. Does she really believe that present technology can diagnose a host of medical conditions from a drop of blood? Will the laws of science or physics allow it? Does she think Theranos would have succeeded if she had more time to build out the fake blood analysis equipment? Holmes, her partner, and a collection of wealthy old men in her thrall were on their way to luring more investors and companies to sign up. Safeway alone spent $350 million gearing up its stores for what turned out to be bogus Theranos machines. Blood reports included false positives on what would be some serious medical conditions.

Here’s the dilemma. A consensus view of what’s possible still needs the affirmation of truth seekers; the more influential the better. It’s the same quandary for Republican operatives who show passive acceptance of the President’s constant misinformation more than any clear-eyed empiricism would allow.

 

When Intersubjectivity is as Good as it Gets

But there is another side to intersubjectivity. Consensus on a point of view about complex problems is another way to put some genuine value on intersubjective agreement. The idea has relevance because many important ideas involve claims of preference rather than claims of fact. For claims of preference or judgment, intersubjective agreement is as good as it gets. Should the U.S. reinstitute a compulsory draft? Would it be better to simplify the tax code with a straight income percentage rate? Is the constitutional stipulation of a non-proportional Senate still a good idea? Questions like these vie for supporters and critics, but there is no final truth to be discovered. Instead, we search for consensus on what might be “best” rather than what is “true.” Intersubjectivity is the only alternative when there is no absolute or fixed reference point. And so we vote, respond to questionnaires, seek out affinity groups where we feel at home, and learn to live with unbelievers who do not share our views.

The clear takeaway from this perspective is to resist the urge to reduce all differences to matters of fact. Using “is” in a sentence doesn’t make what follows a certifiable truth. That verb can be hopelessly misleading. In addition, humans are by nature storytellers, not computers. We are attracted to fantasies and faiths that allow us to sometimes live comfortably with our own shared delusions.

What All The A.I. Doom Misses

Greg Toland

Real-world communication is more about expression, not problem-solving.

Most of those who are weighing in on the potentially disastrous effects of A.I. have allowed their focus to become too narrow. Bad effects are usually overestimated because of an error in thinking. The mistake is to assume that A.I. is mostly about being an “intelligent problem-solver,” forgetting that human instruments of communication and contact involve so much more.

Granted, digital systems handle data better than most of us; and for that we should be grateful. But even in recent years we still spend hours correcting the actions and content of advanced bots that are ostensibly good at manipulating data. Think of all of the supposedly smart algorithms that often deliver nonsense to what amounts to inaccurate versions of ourselves.

But here’s the bigger problem. Those talking doom to us are mostly listening to engineers. And engineers tend to see communication in terms of “problems and solutions” driven by “powerful intelligence.”  They are interested in what circuits can do; less so in what they try to say. And any tool with a circuit at its heart is bound to come up short in grasping true intelligence. For example, A.I. output is not going to be meaningfully informed by specific instances of social intelligence arising from our passions; or a sense of kindred identification felt by humans (a non-quantifiable but real effect); or one person’s knowledge of another’s complicated backstory.

In addition, real-world communication is more about expression, not problem-solving. In fact, a person’s or a machine’s problem-solving efforts might be, for many of us, the least interesting thing we could note about them. Instead, we want to know who another person is, their sense of place, their feelings, attitudes, experiences, values, and their skills at reading behavioral cues, as imitated by MIT’s old “Kismet” Robot.

All is well with A.I. until real-world events intrude. If a person wants us to know that the president is “a moron,” or that Congress is “worthless,” we are ready to react using our own sets of attitudes set on our own terms. Through language humans carry a lifelong license to judge.  We are naturally motivated to discuss opinions, assertions of a critical nature, and facts in dispute. We know these central artifacts of everyday communication because our language requires it; its natural state is to have tendency. We utilize deep reservoirs of terms that match how we feel and attitudes we want to share. A modern dictionary can offer 65 alternate terms for the simple adjective, “clever.” Almost as many for “moron.” In everyday discourse, wording choices matter because they reveal pieces of ourselves and how our thoughts have been shaped.

It is thus the nature of human communication to use expressive language that our brain’s natural plasticity allows. Setting out on a quests for the most “intelligent” solutions? Not so much.

“It” and “I”

This language of evaluation is revealed in the use of the pronoun “I;” we expect whatever is said to be a representative artifact of a speaker’s or a subject’s life and history. Even the simple statement “He is a good friend” gives us a lot of social terrain to unpack. Among other things, there is an implied “I.” The statement may seem to be about someone else. But it is also about the speaker.

Capture digital sample

So where is A.I. of various sorts in all of this?  It is mostly irrelevant, since attitudes and feelings are uniquely human. “It,” or a cute name as a stand-in for a generative A.I. system, is completely opaque. To be sure, A.I. can surely fake an attitude, though some chatbots are programmed to beg off. And artificial humans can simulate painting a picture, composing a pop song, or writing a poem. In those forms we can expect all sorts of bits that are derivatives of what were once real human acts. But most of us are pretty good at sorting out a simulacrum of human expression from the real thing. Indeed, even “smart” A.I. has no agency. Any attempt at sentience is still a machine mock-up that pretends to create thoughts derived from . . . what exactly? An organism has a substantial biological and social history. We are the products of layers of experience over decades. And that means something. Among other things, humans, carry the foreknowledge of a finite life cycle. That alone alters our expressions and decisions in ways that are beyond calculation.

To come down off of the doom cloud, it is important to remember that the passion that sits at the heart of most expressive communication flows from the natural impulse to meld perceptions of our life history into a unique and expressive self. Personal language is a kind of fingerprint: special to us and not to others. I may want a calculator or a spreadsheet to carry out computations. And I’d be pleased to have A.I. weigh in with a second opinion on a serious medical diagnosis. But most of the time we thrive on expressive rather than data-driven instrumental communication. We continually insist on offering verbal tokens of ourselves to be read as part of a unique persona. We typically use our rhetoric to perform and display the products of our personhood. So we can have an A.I. letter sent to a close friend. But it cannot construct an authentic history of prior interpersonal contact that would be in a personal note. It follows that persons should want to protect their rights of authorship. Why would anyone settle for an assemblage of off-the-shelf expressions that will be blind to the sender’s or receiver’s unique natures?