Judea Pearl on Human-Level AI, Free Will, and the Test of Ethical Machines

Judea Pearl articulates his lifelong pursuit of creating human-level intelligence, emphasizing an incremental, knowledge-based approach rather than imagining a distant end goal. He envisions such a machine capable of answering sophisticated counterfactual questions, exhibiting great compassion, responsibility, and free will. The core challenge lies in defining and testing these advanced capabilities, particularly free will, which he suggests could be observed through sophisticated communication involving reward and punishment among machines, leading to improved collective performance, such as in a game like soccer.\n\nA central distinction Pearl makes is the efficiency of natural language communication for knowledge transfer compared to direct software modification. He uses the analogy of a coach conveying complex instructions ("you should have passed the ball") that allow an individual to self-tweak their internal "software" or modules. This highlights that effective communication, rather than explicit programming, is crucial for learning and adaptation, especially in ill-defined scenarios where rules are soft and require nuanced understanding.\n\nPearl posits that cause-effect thinking is a necessary component for building ethical machines, enabling them to align their values, morals, and ethics with humans. This requires machines to "empathize" or build a model of the human as a recipient, essentially imagining or "faking" what it's like to be human. He suggests that consciousness and free will in machines would stem from developing a "model of self" – a blueprint of their own abilities and desires in relation to the environment. This self-model would allow for introspection and self-modification.\n\nThe broader implications of this discussion touch upon the very nature of consciousness and free will, suggesting that these attributes are not mystical but arise from sophisticated internal modeling and causal reasoning. For AI to achieve human-level intelligence and ethical decision-making, it must move beyond mere data processing to develop an understanding of cause and effect, the ability to model others' internal states, and a robust model of its own self, enabling genuine autonomy and responsible interaction within complex human environments.

I'm driven by that all my life I'm doing just by one thing but I go slowly I go from what I know to the next step incrementally

a machine that can answer sophisticated questions counterfactuals of a great compassion responsibility and free will

how would you test free well and that's so far we know only one thing meaning if robots can communicate with reward and Punishment among themselves hitting each other on the wrist and say you shouldn't have done it

our language is very effective if you just pass the ball you know your software you tweak the right module and next time you don't do it

is the cause-effect where the two can come together qualification is necessary component to build a ethical machine because the machine has to empathize to understand what's good for you to build a model of use of you as a recipient

the machine has to imagine it has to try to fake to be human essentially so you can imagine that you're they you're like me

they have a model of yourself where do you get this model you look at yourself as if you are a part of the environment if you build a model of yourself versus the environment then you can say I need to have a model of myself I have abilities I have desires and so forth

I can look at myself in the mirror and say hmm if I change this much tweak this one I'm gonna perform differently that is what we mean by free will and consciousness