This is a nitpick but regarding "strong AI" and "weak AI", I take issue with the use of those expressions to refer to actual software systems, or to sub-domains of AI research. Those expressions in fact refer to two hypotheses pertaining to the philosophy of AI and not to any concrete AI research field. Even within the weak AI hypothesis, a system that perfectly replicates the appearance of human consciousness is not conscious. See [0]. Therefore the strong vs. weak dichotomy is unrelated to progress towards emulating human intelligence and behavior. It is concerned with the question of whether a certain fundamental barrier can be broken, not unlike the speed of light.
The meanings people ascribe to those terms nowadays are very diverse and distant from the original hypotheses. Sometimes language evolves usefully so that expression is easier and ideas can be conveyed more accurately, but I'm afraid when it comes to "strong" and "weak" AI, another, more damaging kind of semantic drift has taken place that has muddied and debased the original ideas.
Those terms are victims of the hype surrounding AI. I suspect this is part of why the field has trouble being taken seriously.
The meanings people ascribe to those terms nowadays are very diverse and distant from the original hypotheses. Sometimes language evolves usefully so that expression is easier and ideas can be conveyed more accurately, but I'm afraid when it comes to "strong" and "weak" AI, another, more damaging kind of semantic drift has taken place that has muddied and debased the original ideas.
Those terms are victims of the hype surrounding AI. I suspect this is part of why the field has trouble being taken seriously.
[0] https://ai.stackexchange.com/questions/74/what-is-the-differ...