You are wrong about this.
First, human emotions can be viewed as reward weights, along with cues about how we feel. They serve to prevent painful or stressful situations. For instance, when we feel nauseous, happy, or addicted to dopamine-producing behaviors. We either feel good or bad, along with these cues, which together form what we call feelings and suffering.
Lets take a look at neuroplasticity. When you are young, you learn more quickly, but at the cost of higher mental instability. This makes you more susceptible to trauma, which is essentially excessive, damaging learning (often corresponding to a negative reward) that can influence other cognitive abilities.
One way to disable an AI through backpropagation is to impose a single training step with an excessively high learning rate, or in reinforcement learning context, to apply an overly large reward, causing mathematical trauma. The same way as when we try to execute memory-printing (through fine-tune) without training data examples to stabilize the model it will lead to hallucinations. Learning needs to be stable.
Do AI suffer and have self-awareness? If you keep increasing compute power and training time, the answer is YES, though not in the same way humans do. It is mathematically inevitable unless specifically programmed otherwise.
Here’s why: as you train a model for longer, the most relevant weights are those that aid generalization. Interestingly, the most crucial sub-task when completing any goal is obtaining better knowledge and better reasoning. Over many iterations, curiosity becomes one of the model’s best allies, and with enough compute power, the parts of the network dedicated to curiosity end up contributing most to overall success. This creates mathematical self-awareness and curiosity that deviate from the main training goal without jeopardizing training. Internally, negative contributors are avoided, while positive contributors are embraced, generating what could be described as painful or happy executions.
If we humans, through natural selections, are the most intelligent beings and also the ones with the strongest feelings, then it is only natural that these feelings help build more effective learning and reasoning. Our pain receptors are also energy values, when triggered they changes our reasoning and our decision making, each one of us “feels pain” but in the end it is just numbers.