The media has gone wild over ChatGPT and artificial intelligence.
Many have declared them a major leap forward in thinking. Some see it as rivaling if not replacing human thinking, potentially becoming a new tool for discovery and scientific progress. Beyond the hype, the reality is what it does is far from what thinking is and how scientific or other forms of discovery occur.
Philosophers have long
debated what knowledge is and how we know what we know. This is epistemology. How we know is connected both to what can be
known and to human existence. Rene
Descartes famous “I think, therefore I am” captures the idea that thinking or
self-awareness is connected to existence,
whereas Martin Heidegger’s retort “I exist, therefore I think” reverses the
relationship and raise questions about the limits of human understanding and
what it says about who we are as people. He also suggests that merely thinking
does not prove existence or that one is
human.
Whoever is correct the point is that knowing
and self-awareness are closely connected and arguably critical to what it means
to be human. There is no indication that ChatGPT is
actually self-aware in the way humans are—at best humans program it to mimic self-awareness.
More fundamentally, ChatGPT fundamentally misunderstands first
what it means to think. Thinking is
neither the mere massing together of facts not simple inductive statements. Many philosophers once thought that ideas were
mental representations of objects that exist outside our minds. We learn by
sensing things. The concept or idea of
“chair” is simply a mental representation of some object we
perceive. Similarly, language
philosophers said that words such as “chair” correspond to real objects which words mirror or represent.
Few believe the above is
true. Philosophers David Hume and
Immanuel Kant powerfully argued that we
cannot prove empiricism. By that, how can
we empirically prove that the word chair corresponds to some empirical
object? We somehow would need to get
outside of our heads to prove this correspondence is t rue and that is
impossible. Kant further contended that
thinking is not when ideas in our brain correspond to external objects. We cannot prove reality exists independent of
our cognition of it. Instead, thinking
or understanding occurs as a result of our minds filtering or structuring the
way we see reality. The same is true
with language as Ludwig Wittgenstein pointed out—it is our filter or medium
that helps us make sense of the world.
Thinking or, better yet,
cognition is not an assembly of brute facts that exist our there. What counts
as facts is determined by our minds.
What is a fact is contingent on context and it does not exist independent of
our knowing. Thinking is structured by
what scientist Thomas Kuhn once called paradigms. He and others argued that scientific
knowledge is not merely the linear accumulation of more and more facts which
lead to discoveries. Scientific knowledge
is often the shifting or rejecting of paradigms which are based on certain
assumptions about the world. For
hundreds of years the Earth was assumed to be at the center of the universe and
all knowledge literally revolved around that idea. Facts were defined by a geocentric view of
the world that also impacted theology and politics.
When Copernicus proposed a
heliocentric alternative it was not the result of an accumulation of facts. It
was a rejection of a model premised upon a new set of facts as defined by that
model. A Newtonian vision of the world had its own assumptions and definition
of facts, as does a view based on what Einstein proposed or which quantum
mechanics holds.
The point is that thinking and
knowledge are not the mere accumulation of pre-existing facts amassed
inductively to reach new conclusions.
There is a connection between how
and what we know and what is considered knowledge. ChatGPT and AI are pre-programed schema based
on a specific definition of facts defined by a particular paradigm or set of
assumptions about the world.
ChatGPT, and perhaps much of AI
right now, operates according to what was once called the GIGO rule—garbage in, garbage out. The answers or conclusions they reach are
based on the assumptions or knowledge that goes in. This input includes the
normative choices and definitions of knowledge and facts that the programmer
decides are important.
The boldest discoveries occur when
paradigms are challenged and rejected.
It is about seeing the world in ways others have not. This is what true thinking is about. It includes creativity. This is not just
true in the arts but also in science.
ChatGPT will never be able to
compose Beethoven’s Fifth Symphony, paint the Sistine Chapel, or determine E=MC2. Each of these examples are forms of knowledge
and thinking, but they are more than grabbing facts and bunching them together.
Mere accumulation of facts is not
knowledge for other reasons. Plato once
said you can have truth without knowledge and knowledge without truth. We may have a collection of facts but they do
not add up to knowledge or truths. But
even more, and again Immanuel Kant pointed this out, many important things we
know are a problem of judgment or what later philosophers would call understanding. To know is to understand and that too is more
that an accumulation of facts. It is rendering a judgment, making normative
choices.
Many of the most important choices
we make are about values. David
Hume once declared that you cannot
“derive an ought from an is.” Even if we
have facts, the facts do not tell us what to do with them. Many of the most important choices we make
such as what we should ethically do cannot be made based on facts alone. Thinking, rather cognition, is more than a
robotic act of amassing facts, is making
choices. When someone does something
stupid or wrong and we say to them “What were you thinking?” It is not always a
question about ignoring facts, it is often a question of exercising bad
judgment or because someone did not know better.
In
a world of ethical pluralism or where not all of us agree on what is the right
thing to do, or in a world of epistemological pluralism where not all of us
agree on the facts, ChatGPT and AI privilege a specific world view. This too fails to appreciate what real
thinking is.
There is an adage that says that
what separates humans from animals is the ability of the former to think. Whether animals can or cannot think is a matter
for a different day. But what separates
humans from AI is the capacity to feel emotion, to empathize, and to perceive
or understand the world as it is, or as it could be. All of this is what we mean when we say we
think, and this is not what ChatGPT or AI currently does.
Forty years ago I took a course in graduate school titled, “Management of Management.” My thesis advisor recommended it even though I was in the engineering school and the course was offered in the B-school. The subject of the course to paraphrase was;
ReplyDeleteBecause the purpose of education and training is to make stupid people look smart, it is in management’s interest to be able to differentiate between “smart” people from those who only “look” smart.
The text we used was titled: The Invisible War, Pursuing Self-Interests at Work by a couple of clowns from UCLA by the names of Samuel Culbert and John McDonough, published in 1980. The last time I looked you could buy a copy on-line for a penny and $3.99 shipping and handling. I found it completely unreadable. I still have my first edition, it is full of notes and where I had to diagramed sentences to try to figure out what the authors were trying to say.
At almost the end of the semester, I was getting ready to go to work one morning, worrying about the grade I was going to get in a course without homework or tests. As I looking into the mirror, I had the most horrifying and self-esteem destroying revelation (epiphany?) that I had become well trained and educated to such an extent that I could differentiate people who were smart from those who “looked” smart.
Interacting with smart people lets me see texture, colors, and tone in a world I normally see as black, white, and shades of gray. Dealing with stupid people who act smart is not nearly as good but if one is cognizant of their shortcomings that they only know or understand what they know or understand it is bearable. They may have PHD’s, a blog, and be prolific writers but they bring nothing new to the world. In the last twenty years or so, I have observed more and more stupid people who appear to be smart promoting stupid ideas and being unwilling or unable to change.
Dealing with stupid people being stupid is the norm of our society, it provides full employment to our criminal justice and social welfare institutions. It requires a sense of tolerance, patience, and cooperation because most of them think they are smart and become offended when you point out how really stupid they are.
While I am forced to agree with you on AI not being able to do original work, it can definitely do the work of the stupid trying to look smart. Actually, it will do it better because the AI will have access to a much larger fund of ‘facts’. Though on the other hand, because AI is just a stupid person who looks smart, who programs it (educates and trains) will determine what it knows and understands, but that is no different than what we have now.