I filled a brief in the Anthropic v. War Department case. It was docketed and parts appeared in the judges opinion. I am not a lawyer and I drafted and submitted it in four days. I’m happy to share it. One guy with an Ai. My arguments were more extensive and thorough than other goal directed submissions.
The author's methodology might be able to be augmented by factoring in human nature. That way, the author's predictions can be more specific, and some such predictions carry higher confidence where the human behaviours or psychology involved are well established.
For example, take a Quincy who has a powerful AI in his pocket but who doesn't read or listen to it (this attitude might correlate with certain demographics). The contracting cost is low, but the human friction of contracting is high, and he ends up not influenced by the benefits of low-cost contracting.
Or take buyers who are in a hurry, or sellers who are happy to sell no matter what, or unhappy parties who are uncomfortable with the formality and duration of litigation.
Of course, the above augmentation presumes that the ultimate parties are humans. That is, they might be assisted by AI, but the humans make decisions, and that process is influenced by human nature. Fully AI-mediated parties would be different.
Within three years mostly likely less; cases will be adjudicated by “Agents” of the courts. Why not. An Ai is far more likely to get the law correct and therefore be more impartial and predictable than are current partisan courts and corrupt procedures.
Agents of the courts will fail as well just far less often and far more obvious.
If laws are stated fairly and implemented justly we might not need so many lawyers.
There is reason enough to move forward.
This puts the focus where it should be: writing just laws.
I filled a brief in the Anthropic v. War Department case. It was docketed and parts appeared in the judges opinion. I am not a lawyer and I drafted and submitted it in four days. I’m happy to share it. One guy with an Ai. My arguments were more extensive and thorough than other goal directed submissions.
Issues that are now becoming clear.
Law will never be the same.
The author's methodology might be able to be augmented by factoring in human nature. That way, the author's predictions can be more specific, and some such predictions carry higher confidence where the human behaviours or psychology involved are well established.
For example, take a Quincy who has a powerful AI in his pocket but who doesn't read or listen to it (this attitude might correlate with certain demographics). The contracting cost is low, but the human friction of contracting is high, and he ends up not influenced by the benefits of low-cost contracting.
Or take buyers who are in a hurry, or sellers who are happy to sell no matter what, or unhappy parties who are uncomfortable with the formality and duration of litigation.
Of course, the above augmentation presumes that the ultimate parties are humans. That is, they might be assisted by AI, but the humans make decisions, and that process is influenced by human nature. Fully AI-mediated parties would be different.
Within three years mostly likely less; cases will be adjudicated by “Agents” of the courts. Why not. An Ai is far more likely to get the law correct and therefore be more impartial and predictable than are current partisan courts and corrupt procedures.
Agents of the courts will fail as well just far less often and far more obvious.
If laws are stated fairly and implemented justly we might not need so many lawyers.
There is reason enough to move forward.
This puts the focus where it should be: writing just laws.