The current AI gold rush might leave many thinking about what AI might look like as it develops. In this post, we’ll discuss sentient AI, what it could look like, and if we should be worried about a world where robots are conscious.
What is Sentient AI?
Sentient AI can feel and have experiences just as humans can. Sentient AI is emotionally intelligent, conscious and can perceive the world around it and turn those perceptions into emotions. In short, sentient AI thinks, feels, and perceives like a person.
M3GAN, the robot from the movie of the same name, is a great example of sentient AI. She has emotions and can perceive and understand the feelings of those around her, so much so that she builds a friendship with a human girl and eventually becomes murderously protective of her.
Concerns About Sentient AI
Some of the main concerns and questions about sentient AI come from science fiction movies, books, and TV shows that paint the picture of a dystopia with super-intelligent machines that have autonomy and eventually build an AI-ruled society where humans become their compliant subjects. Many of these scenarios also involve these machines developing sentient abilities without human input.
Aside from that, the questions about sentient AI center around control, safety, and communication.
Control – People can see the correlation between losing control of AI and other machine learning entities if they become sentient because they can think on their own, could ask questions about their autonomy, and eventually break free from the ‘control’ developers, scientists, and researchers currently have
Safety – If humans lose control over sentient AI, will we be able to trust it once it has sentient abilities?
Communication – Humans are ruled by emotion, while AI is logic-based. Will communication with sentient AI be challenging because of this difference?
Is Current AI Sentient?
Current applications of AI, like language models (i.e., GPT and LaMDA), are not sentient. Language models can seem sentient because of their conversational style, but the catch is they’re designed that way. They’re meant to use natural language processing and natural language generation to replicate human speech, which can seem like a form of sentient cognition, but it’s not. They can’t experience, much less have, emotions.
What if AI Becomes Sentient?
AI has progressed rapidly in the last year, so it makes sense to think that sentient AI is right on the horizon. Most experts agree that we are nowhere near that happening, or if it will ever happen. For one, scientists and researchers would first have to define consciousness, which has been a philosophical debate for centuries. They would also need to use that definition of consciousness and translate it into exact algorithms to program into AI systems. Human emotions, perceptions, etc., would have to be deeply understood in a way that makes it possible to give that knowledge to a computer system.
It might be helpful to understand the far-off ness of sentient AI by understanding where it stands today. Out of the four types of AI, all systems today are part of the first two: reactive or limited memory AI.
The next type is theory of mind AI, a significant advancement where machines can understand human emotions and have social interactions based on this understanding. There are also three stages of AI, each defined by how closely it replicates human abilities. Despite how long the field has been around, AI is currently in stage one, narrow AI.
The next stage is AGI, which are systems with human-like intelligence that think abstractly, reason, and adapt to new situations. There is debate that language models are AGI, but some say that any indications of abstract thinking or reasoning are learned from its training data.
No existing system has grown beyond theory of mind AI or fully surpassed narrow AI, and there are a lot of lines to cross before it does. Any feelings that AI is sentient can be chalked up to algorithms doing what they’re programmed to do. But, that being said, it’s always important to stay on top of the trends, especially with technologies with short-term high growth.