Promises to complicate the accounting process

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Games of artificial intelligence
Can we find some balance for intellectual debt—a system for tracking where and how non-theoretical knowledge is being used? Our accounting can reflect the fact that not all intellectual debt is equally problematic. If AI is creating new pizza recipes, maybe it makes sense to enjoy it; by contrast, when we start using AI to make health predictions and recommendations, we want to be fully informed.

Creating and maintaining a society-wide intellectual debt balance will likely require refining our approach to trade secrets and other intellectual property. In cities, building codes require building owners to uae number data publicly disclose their renovation plans. Similarly, we could ask libraries or universities to accept otherwise hidden data sets and algorithms that have been in public use. This would allow scientists to begin to examine the models and underlying data we depend on and, through theory building, make payments on our intellectual debt.

The increasing prevalence of machine learning models, and the fact that anyone can build them, . But it’s vital. Taken alone, oracle answers can produce consistently useful results. But these systems won’t remain in isolation: as AI collects and ingests the world’s data, they will create their own data, much of which will be used by other systems. Just as drugs sometimes interact with unknown mechanisms, so too will algorithms.