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Third, because of their ubiquity and complexity, predicting the effects of intelligent algorithms on humanity—whether positive or negative—poses a substantial challenge.
Understanding the behaviour of artificial intelligence systems is essential to our ability to control their actions, reap their benefits and minimize their harms.
The complexity of individual AI agents is currently high and rapidly increasing.
Although the code for specifying the architecture and training of a model can be simple, the results can be very complex, oftentimes effectively resulting in ‘black boxes’.
In many settings, the only factors that are publicly observable about industrial AI systems are their inputs and outputs.
Even when available, the source code or model structure of an AI agent can provide insufficient predictive power over its output.The ubiquity of algorithms, coupled with their increasing complexity, tends to amplify the difficulty of estimating the effects of algorithms on individuals and society.