Those pointing to hallucinations and such are focused on Generative AI as it is today. However, it will be vastly different in 4-6 years when people leave law school if they start today. This technology is on a growth curve that is much more rapid than most, if not all, we have seen in history.
A lot of the issues in AI today will be mitigated by the time the newly minted attorneys are ready to practice.
Hallucination isn’t a solvable quirk of GPTs, its their function. You can’t get rid of it by throwing more money at the problem, you’d need another idea.
There are tools to manage major hallucinations. More are coming. Automated fact checking, pattern analysis, multiple layer analysis, etc.
Yes, there are functional mechanisms that power hallucinations. Especially in the probability models. But there are some powerful tools automate analysis of the outputs and rework for accuracy. Those are likely to improve to eventually reach a level of trust that is sufficient for many business use cases.
Those pointing to hallucinations and such are focused on Generative AI as it is today. However, it will be vastly different in 4-6 years when people leave law school if they start today. This technology is on a growth curve that is much more rapid than most, if not all, we have seen in history.
A lot of the issues in AI today will be mitigated by the time the newly minted attorneys are ready to practice.
Hallucination isn’t a solvable quirk of GPTs, its their function. You can’t get rid of it by throwing more money at the problem, you’d need another idea.
There are tools to manage major hallucinations. More are coming. Automated fact checking, pattern analysis, multiple layer analysis, etc.
Yes, there are functional mechanisms that power hallucinations. Especially in the probability models. But there are some powerful tools automate analysis of the outputs and rework for accuracy. Those are likely to improve to eventually reach a level of trust that is sufficient for many business use cases.