In a time when peer review is overburdened,underacknowledged,and increasingly influenced by algorithmically driven incentives(e.g.,metrics on reviewer platforms),I have stepped back from the fray to gain perspective.F...In a time when peer review is overburdened,underacknowledged,and increasingly influenced by algorithmically driven incentives(e.g.,metrics on reviewer platforms),I have stepped back from the fray to gain perspective.From this deliberate distance,I have tried to examine its structures,incentives,and blind spots-seeking not only to understand what fails but also how the system might be improved.展开更多
Algorithmic discrimination is a kind of unreasonable,unequal treatment based on algorithms,which is widely existing in all areas of our social and economic life.Compared with traditional discrimination,algorithmic dis...Algorithmic discrimination is a kind of unreasonable,unequal treatment based on algorithms,which is widely existing in all areas of our social and economic life.Compared with traditional discrimination,algorithmic discrimination is inherent,professional and concealed.In practice,both market forces and government regulation have certain limitations in regulating algorithmic discrimination.On the one hand,enterprise autonomy often fails due to benefit considerations,while industry self-discipline lacks a set of mature and effective rules.On the other hand,in addition to the lack of complete algorithm review mechanisms and accountability systems,government supervision is also limited by technical regulatory difficulties.Therefore,it is necessary to further improve the legislation of algorithmic discrimination,set up algorithm review institutions,establish algorithm review mechanisms and strengthen industry and enterprise self-discipline.展开更多
文摘In a time when peer review is overburdened,underacknowledged,and increasingly influenced by algorithmically driven incentives(e.g.,metrics on reviewer platforms),I have stepped back from the fray to gain perspective.From this deliberate distance,I have tried to examine its structures,incentives,and blind spots-seeking not only to understand what fails but also how the system might be improved.
文摘Algorithmic discrimination is a kind of unreasonable,unequal treatment based on algorithms,which is widely existing in all areas of our social and economic life.Compared with traditional discrimination,algorithmic discrimination is inherent,professional and concealed.In practice,both market forces and government regulation have certain limitations in regulating algorithmic discrimination.On the one hand,enterprise autonomy often fails due to benefit considerations,while industry self-discipline lacks a set of mature and effective rules.On the other hand,in addition to the lack of complete algorithm review mechanisms and accountability systems,government supervision is also limited by technical regulatory difficulties.Therefore,it is necessary to further improve the legislation of algorithmic discrimination,set up algorithm review institutions,establish algorithm review mechanisms and strengthen industry and enterprise self-discipline.
