The Value of Algorithmic Interpretability and Its Path to Rule of Law
With the deep iteration of autonomous learning algorithm technology,automated decision-making has been widely embedded into the decision systems of human society.However,due to its specialization and opacity,the automation of algorithmic decision-making poses a threat to the legitimacy of the procedural construction of human legal order and accountability mechanisms,ultimately constituting a fundamental challenge to human dignity.Algorithmic interpretability is a key concept in incorporating algorithmic systems into the constraints of social norm systems,and the degree of its implementation is crucial for maintaining the rule of law and protecting the rights of decision-making subjects.The current main institutional basis for achieving algorithmic interpretability includes setting varying degrees of transparency to open the black box,establishing multi-party collaborative review mechanisms to implement responsibility subjects,and institutionalizing intuitive relationships to ensure"human in the loop."The focal point of these measures is to uphold the inherent goodness of algorithmic technology.
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维普
