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This question is motivated by @Lowri's comment here:

And ChatGPT doesn't "rebut" anything. It just produces words. It doesn't believe those words. It doesn't think those words are true.

@keshlam expressed similar thoughts:

determining whether an AI understands the output it is producing you say huge question of its own and not able to be addressed in comments. For large language models such as chat GPT, this simple answer is that we understand how they operate, and there really is no opportunity for them to build semantic understanding; they are simply probabilistic text generators writ large.

However, both @Lowri and @keshlam would presumably grant that biological neural networks (or at the very least human ones, i.e., human brains) are capable of having beliefs. Presumably they would concede that humans can have beliefs because their brains can have beliefs.

So assuming that this is right, what exactly would it take (or what exactly is missing in current AIs) in order for an AI to be able to have beliefs?

Or is the premise of the question wrong and actually current AIs already display the ability to have beliefs?


See also: Does the success of AI (Large Language Models) support Wittgenstein's position that "meaning is use"?


Addressing duplicate charges

This question is not a duplicate of At what point can a being be said to have gained sentience?. That question is asking about sentience/consciousness. My present question here is asking about beliefs. It's not obvious at all that conflating sentience/consciousness with beliefs is at all justified.

For instance, according to panpsychism, even electrons are conscious. Does it follow that electrons have beliefs?

Conversely, a philosophical zombie might arguably have beliefs, but by definition it is not conscious.

I'm open to being proven wrong but the conflation of the two seems false or at least unjustified to me.

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    Comments have been moved to chat; please do not continue the discussion here. Before posting a comment below this one, please review the purposes of comments. Comments that do not request clarification or suggest improvements usually belong as an answer, on Philosophy Meta, or in Philosophy Chat. Comments continuing discussion may be removed.
    – Geoffrey Thomas
    Commented 8 hours ago
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    Think also about the following: if Susskind's complinentarity principle is true, then every black hole has a very good representation under its event horizon of the things outside the event horizon. In this sense, a black hole is a perfect model of the outside world, the better one the greater its mass, and has information compressed the best way possible (in equilibrium). It is a perfect quantum computer, running a simulation...
    – Anixx
    Commented 8 hours ago

2 Answers 2

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You ask:

What would it take for an AI to have beliefs?

It's an open question if it's possible for AI to have human-like beliefs and experience, but on a broad reading of belief as a spontaneous intentional internal representation of the self or the world, it is arguable they already do. But the vagueness of terms possess a challenge, and there are actually several related readings of this question:

  1. Are AI systems capable of having belief? What exactly is belief?
  2. Are AI systems capable of having representations? What exactly is a representation?
  3. Are AI systems capable of replicating human belief? What does it mean to replicate human belief?

This sort of question is fraught with confusion, so immediately, the SEP offers us resources to suss out a response:

From the first SEP article:

Anglophone philosophers of mind generally use the term “belief” to refer to the attitude we have, roughly, whenever we take something to be the case or regard it as true. To believe something, in this sense, needn’t involve actively reflecting on it.

Computer systems are capable of having internal representations even about the external world and judging something to be true or false, and they needn't actively be aware or reflect on that process, so on the shallowest reading, yes, AI software can have belief. But this does not make it human belief, or even dog belief. (This, of course, is a generalization of the use of belief, whose necessary and sufficient conditions for many include it to be a property of sentient, biological beings unconditionally if one subscribes to prototypical definitions.) Belief and representation comes in many forms, and there is not valid reason to exclude non-biological electromechanical systems where biological systems are concerned as general principle.

Let us also acknowledge that mere belief is not knowledge if one accepts that judgment often plays some role in transforming belief to knowledge. Even with these resources, thinkers are going to have a strong set of opinions based on their personal definitions of 'belief', 'representation', 'thought', etc. Clearly, AI systems are not capable of belief and knowledge in the same way as people, period, because the richness of the complexity of the human brain in terms of using and understanding symbols is unmatched by even the most powerful computers such as Deep Blue, Watson, and so on. This is why modern computer science recognizes a distinction between the concepts of AI and AGI.

But systems are built that mimic human belief, desire, and intention, conveniently called Belief-Desire-Intention (BDI) software, and therefore, while software belief does not match the belief of humans, or arguably Great Apes generally, it might be on par with simpler organisms who are sometimes held to have cognition by ethologists. That is to say, a complicated software system that implements a formal representation of belief can produce robotic behavior that mimics the abilities of simple animals. Boston Dynamic's Spot is capable of generating a real-time representation of the world, generating a plan, and prioritizing and implementing action.

Combining robotic BDI, integrating natural language processing (NLP), and packaging it in a humanoid form not only can be done, but creates the effect called uncanny valley. These systems certainly do not fool anyone when time is taken to examine them, but they do reflect enough human-like properties to give pause, and certainly to form the foundation of philosophical discourse, which is arguably a form of experimental philosophy (SEP). Some thinkers faithfully imbue neurons with an elan vital or attribute quantum woo to consciousness, in a defense that somehow neurons are capable of leading to the emergent properties of consciousness in a way that transistors or not. But, personally, I've never seen a compelling argument, and functionalism (SEP), as flawed as it is, creates compelling lines of argument.

So, current systems arguably have beliefs, desires, and intentions if operationalization is the standard by which abstractions are deemed to exist. But they are shallow facsimiles of human forms of belief, desire, and intention in the same way even the most sophisticated human prosthetic hand resembles the biological human hand. And you'll observe strong knee-jerk reactions to the question in the same spirit of the uncanny valley. No! Computer can never think! Yes, computers are already self-aware! Some people react quite emotionally in the face of asserting that robots and computers can possess human-like qualities in the same way people will literally get angry if confronted about the their religious beliefs.

Ultimately, it would require a book-length work to provide a thorough response to differentiate how modern AI systems fall short of AGI, and thus human-level belief, desire, and intention. In fact, there are a lot of highly intelligent thinkers devoting energy to this issue now, and we see lines of debate that mimic the Searle/Dennett discourse surrounding minds, language, and consciousness. So it continues to be the job of philosophers, to wade through these conceptual questions.And continues to be the job of scientists and computer scientists to build bigger and more powerful formal systems of belief, desire, intention, and action. Who knows what quantum computers and other future technologies will bring.

See also:

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  • But how can these beliefs be about something? How does an AI (or a human for that matter) pair internal representations to an external world? How does it (or the human) direct their belief to an external state of affairs either existent or fictional?
    – Philomath
    Commented 8 hours ago
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    @Philomath lol Well, those are quite deep and complicated. On the simplest level, computers can reflect states of the world like video cameras can, right? And computers can pick out images in their video feed and designate them as objects, right? And computers can make decisions about those objects based on learning, right? And computers can use an ontology to formally reason about outcomes, right? These are all features of intentionally (SEP).
    – J D
    Commented 8 hours ago
  • @Philomath My personal thoughts are that whatever makes a biological neural network able to represent and learn is present in artificial neural networks and other computational methods. There's not too much a difference is quality, but rather it's the quantity that separates modern AI from even the cognition of a chimp.
    – J D
    Commented 8 hours ago
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    Modern AI systems already far outpaced the primitive animals in imitating behavior. They are close to successfully imitating humans and the only things they lack so far are the multimodality and motoric skills.
    – Anixx
    Commented 8 hours ago
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    @Philomath I think a lot about this question, because I think it's promising on yielding insights. I would say, imagine if we have a switch that accepts inputs, and it makes one decision based on one set of inputs, and another otherwise, and imagine those inputs are generated by the shape of polygon. Imagine it could tell the diff. between a tetrahedron and a sphere. If I make a mold of a sphere, can not that mold ultimately also be used to produce a sphere? Can I not also say then, the switch can be controlled not just by the sphere, but the mould utlimately? This is how I see it...
    – J D
    Commented 8 hours ago
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First question we should pose is "what is a belief?" I suggest the following definition: "having belief is having certain statement true in the internal model of the world".

Is so, the AIs definitely can have beliefs as long as they have an internal representation of the external world.

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  • Do you think the multi-dimensional vector space of an LLM is an internal representation of the external world? In other words, do you really think that ChatGTP believes what it writes?
    – Philomath
    Commented 9 hours ago
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    @Philomath absolutely not always it believes what it writes, but that it has an internal representation is quite universally agreed. What it writes is not always what is true in the internal representation as it can be prompted or trained to lie.
    – Anixx
    Commented 8 hours ago
  • Do you think Wikipedia has an internal representation of the external world?
    – Philomath
    Commented 8 hours ago
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    @Philomath If we take Wikipedia pages without users, possibly, not as the pages are too loosely connected compared to external world, which is not enough for a fully-fledged functioning model. But if we take it together with users (even if those users have no information from the external world other than from Wikipedia), then probably, yes, as the users create interconnections between the pages that in some sense imitate or model or reflect similar connections between events and objects in the real world. For instance, a change in one page leads to a corresponding change in another one.
    – Anixx
    Commented 8 hours ago
  • @Philomath a model should not only have data, but also laws, interconnecting this data in a way, resembling the external world...
    – Anixx
    Commented 8 hours ago

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