Can We Train AI to Become More Human-Like?

AI’s ability to mimic human behavior, emotional intelligence, creativity, and morality while exploring the future of artificial intelligence

Artificial intelligence, especially that afforded by ChatGPT, has changed our manner of dealing with machines.

AI now puts us in a state of conversation, learns from us, and even attempts to understand the context behind the questions we ask.

However, the significant issue that people keep asking is whether ChatGPT can be trained to become human.

At the core of AIs like ChatGPT is a neural network, a complex web of algorithms meant to mimic the functioning of the human brain. The algorithms learn about patterns, make predictions, and improve over time through a process known as machine learning.

However, there is quite a gap between teaching patterns and being human. But being human isn’t just about patterns or predictions and it is about emotions, experience, understanding of culture, making moral judgments, and the ability for truly original creativity.

Interacting with AI today may often generate human-like responses that are interesting and even insightful at times.

Yet, what generates those responses — patterns found in large datasets, not quite the sort of personal contemplation or emotive depth carried into every encounter by humans.

To answer if ChatGPT can be trained to be human, we must consider what exactly it means for something to be human.

For this argument, let’s break it down into several such components: emotional intelligence, creativity, morality, memory, and learning from experiences.

Some of these are important facets of human behavior and cognition.

Can AI, particularly ChatGPT, ever be imbued with these so that we consider the AI “human” to that degree?

Emotional Intelligence

Emotional intelligence is the ability to sense how others feel and manage one’s own emotions. Our words usually carry emotional intensity from subtle sarcasm to overt anger or happiness. Humans use tone, context, and body language to communicate and interpret emotions.

ChatGPT will simulate aspects of emotional intelligence because it can generate text that carries an emotional flavor for a conversation. If you express frustration, then it produces a response that would appear empathetic; if you are ebullient, it can echo some lighthearted repartee.

Does this mean it “knows” or understands emotions?

No. Instead, what ChatGPT does is recognize patterns in language as they reflect emotion, but it does not feel emotions. It doesn’t have the physiological and psychological mechanisms that underlie human emotion.

Training ChatGPT to “be human” in this way would take more than feeding it datasets on emotional expression. It would rather require an architecture that allowed for some authentic experiences of emotions — that is, something beyond the scope of current developments in AI.

Even if we can, in some way, simulate emotional reactions in AI, they will still be fundamentally different from human emotions, which are tied closely with consciousness, biology, and experience.

Creativity

Creativity- the mark of human intelligence: the ability to come up with new ideas, solve problems in innovative ways, and create art that vibrates at a deeply emotional or intellectual level.

Is ChatGPT creative?

In this respect, yes. ChatGPT can write, for instance, poems, short stories, code- whatever you want it to do. All the same, this creativity is based on the pattern rather than on actual thinking outside of the box that may reflect human creativity.

Some of the most creative solutions or artistic expressions are often born out of personal experience, emotional ups and downs, moments of inspiration, those things that cannot easily be expressed and replicated in an algorithm.

Although AI can generate creative content, it remains without experiential or emotional depth to inform human creativity.

This means it offers content based on learned patterns rather than any personal experience or emotional journey.

That is the main point of explaining why, despite impressive outputs, ChatGPT is fundamentally different from a human mind.

Morality

The other very important element of being human is morality, for which decisions are generally guided by the moral compass of and through upbringing, culture, experiences, and societal norms.

More often than not, humans struggle with conflicting values, weigh the consequences of their deeds, and sometimes, change their beliefs over time.

Could ChatGPT make moral decisions?

Not at all. While it may be able to be programmed to adhere to certain guidelines of morality or avoid harmful content, its understanding of morality is superficial. It does not possess personal values or understand right and wrong in the way humans do.

Instead, it responds based on patterns in data that often simply mimic moral reasoning without truly engaging in the complex, human process of ethical decision-making.

It is a huge task to train ChatGPT to be human in this regard since even humans are unable to accept one sense of moral principle. Morality also relates to consciousness, which AI lacks.

Though AI systems can follow rules, they are not able to understand the sense of moral dilemmas that define human experience.

Memory and Experience

Humans are a product of their memories and experiences. Every conversation, every relationship, and triumph and every failure leave an impression on who we are and how we approach the world.

AI does not have any kind of real memory of past interactions unless it has been explicitly programmed to retain specific data.

Each interaction with ChatGPT is unique, and while it can process historical data, it doesn’t “remember” interactions the same way a human does.

It would give this form so that ChatGPT can learn through experiences, creating a sense of identity and personal history over time.

Now, it does not necessarily imply that it should remember anything but interpret it to affect the subsequent actions; the same way humans do in life, growing and changing according to their past.

Current AI models, including ChatGPT, do not have this ability. Though they might learn from big datasets, they lack personal experiences and do not change according to individual interaction.

Because of this, for ChatGPT to be closer to “being human,” it requires something more than the capability to store and accumulate information but must also develop the capability to reflect on that same information and to change in meaningful ways relative to past experiences.

Learning by Experience

Human intelligence is reinforced by the ability to reflect upon mistakes and utilize those as learning experiences. We sometimes reflect on our actions, question our decisions, and make alterations in behavior based on our experiences.

ChatGPT, though, can be trained through machine learning models, though it learns very differently compared to humans.

Improvement of AI in machine learning is through wide training on various datasets and adjustment of weights and biases for better outcomes.

However, the methodology itself is not like that of human learning based on trial and error and is contextual, emotionally and socially tuned, and based on personal experience and interactions with other humans. In contrast, the learning process of ChatGPT is abstract and data-driven.

While AI may learn to make improvements in its responses, it is without a human ability to reflect on itself.

Human learning isn’t just adding new information, but building that new information off of what we already know and thinking about what the implications are. Sometimes, what we learn is questioned.

ChatGPT learns to do this task better at getting statistically likely responses without any understanding or reflection about what it is learning.

The Future of AI

So, can ChatGPT be made human? Currently, as of the technology, the answer is no.

In full, that is. While still able to mimic and even generate human-like conversations, produce creative content, and maintain adherence to all sorts of ethical directives, AI continues to lack depth, consciousness, and emotional complexities of what it means to be human.

However, the future of AI is no longer so static. Researchers are more and more pushing the frontiers of what could be done with AI: find new approaches to making machines more intelligent, adaptive, and even emotionally intelligent.

Some believe that with domains such as neuro-symbolic AI-machine learning coupled with symbolic reasoning or even quantum computation, we may eventually build one day the essence of human-like cognition in an AI.

But yet, all of this raises a basic question: Do we want AI to be human?

The development of machines that could think and feel like humans raises profound questions in the realms of ethics and philosophy.

• Where do we draw that line between the machine and the person if AI becomes too human?
• Should AI have rights when it can feel?

These are questions that society will have to grapple with as AI continues its evolution.