Algorithmic determination, also known as algorithmic decision-making, is the use of algorithms and AI technology to make decisions, often in situations where there are a large number of potential options or outcomes. This is important because it can help to improve the speed, accuracy, and consistency of decision-making, as well as reduce the potential for human error. Additionally, an algorithmic determination can help to ensure that decisions are based on objective, verifiable data rather than subjective opinions or biases. This can be particularly useful in fields such as finance and healthcare, where decisions can have significant consequences, and it is important to ensure that they are made in a fair and unbiased manner. scoring in the west is primarily used by companies for credit checking and marketing purposes, but the range of scoring uses and applications is rapidly expanding. Not only is A.I. enhancing scoring capabilities, but scoring technologies are being paired with other technologies—such as biometrics and facial recognition—to further evaluate and score a wide range of human behaviors for various uses.

Meanwhile, the technology is fast outpacing efforts to develop standards, codes, and regulations to protect privacy and address ethical considerations, or ensure that collected data is trustworthy and not inadvertently biased. Pretty scary when you consider that China’s algorithmic scoring last year identified 13 million of its citizens as “untrustworthy.”