Olivia, this is probably not what you wanted, but I am too lazy to write a synopsis, if you want here is AI answering your question.
There is no fundamental theoretical limit to where artificial intelligence could be implemented, though practical limitations are significant based on current technology. An AI is essentially software, and its ability to function in a physical form depends on the capabilities of the hardware (or "substrate") it is running on. A metal robot is a classic, viable example. [1, 2, 3, 4, 5]
Practical and technological limitations
The body for an AI must be able to support its computational needs and allow for the level of interaction required.
Computational power: Current AI models, especially large ones, require massive amounts of energy and processing power, often hosted in vast data centers. Creating mobile, self-contained hardware powerful enough to run a sophisticated AI is a major engineering hurdle, though breakthroughs in energy-efficient hardware are ongoing.
Embodiment and interaction: A physical body provides sensory input and the ability to interact with the world, which is crucial for developing real-world intelligence. The body must be physically robust enough for its purpose and have sensors, motors, and other components that can interact with the AI's programming. This is far more challenging than running a program on a fixed computer.
Substrate compatibility: While AI can run on silicon chips, researchers are exploring other substrates, such as liquid metals and bio-computers that combine synthetic neurons with silicon chips. Each substrate comes with its own limitations and potential, with biological systems being especially complex and difficult to integrate with. [1, 3, 6, 7, 8, 9]
Non-biological vs. biological implantation
Non-biological forms (e.g., robots): This is the most straightforward approach, as the hardware is purpose-built to host the AI. A metal robot is an ideal candidate, as its components can be designed to interface directly with the AI's software, and its structure can be engineered to support the necessary hardware.
Biological forms (e.g., humans): Implanting an AI directly into a human or animal brain is, with current technology, a field of science fiction. The physiological demands of a biological brain are immense, and we lack the ability to connect with and control the nervous system on a granular level. While brain-computer interfaces (BCIs) are a growing field, they are still limited to interpreting a tiny fraction of brain activity and cannot "implant" a full AI. [1, 10, 11, 12, 13]
Ethical and societal considerations
Beyond technical hurdles, the idea of where an AI can be "implanted" raises significant ethical questions.
Human autonomy and consent: Implanting an AI into a human being, especially one with a fully functioning mind, raises questions about free will, coercion, and the right to self-determination.
Fairness and bias: An AI integrated into a physical form will still carry any biases from its training data, which could affect its actions and decisions in the real world.
Accountability: If an AI causes harm while operating inside a physical body, especially in a biological one, establishing legal accountability is an unresolved issue. [14, 15, 16, 17, 18]
In conclusion, while an AI can be implanted in a metal robot, the complexity of the AI and the capabilities of the hardware will determine its overall functionality. Implanting an AI into a biological form, like a human, remains a far-off concept with profound technical and ethical barriers. [2, 6, 19]
Thank you, Paco. What you've found and written looks exactly what l've been looking for. l'm going to read and study
it all and maybe come up with a conclusion or two.