大数据时代，莫让“算法”变“算计”

Group 1 - The core viewpoint of the article emphasizes the dual nature of algorithms, highlighting their benefits in daily life while also addressing the issues arising from their misuse, such as "information cocoon," "big data discrimination," and "induced addiction" [1][2] - The report outlines the accelerated governance efforts in China regarding algorithm misuse, including the implementation of the "Internet Information Service Algorithm Recommendation Management Regulations" in 2022 and the 2024 joint action by the Central Cyberspace Administration and other departments to address typical algorithm issues [1][2] - The article points out the challenges faced in algorithm governance, such as companies evading supervision under the guise of "technical neutrality," the lack of transparency in algorithm logic, and users' over-reliance on single platforms [2] Group 2 - The article suggests a multi-faceted approach to return algorithms to their intended purpose, advocating for stronger legal frameworks, increased penalties for algorithm misuse, and innovative technical governance that allows for controlled testing of algorithms [2] - It emphasizes the importance of creating a "co-governance ecosystem" involving various stakeholders, including regulatory bodies, companies, and consumers, to enhance market transparency and promote rational consumer decision-making [2] - The article concludes that algorithms should be guided by legal frameworks and ethical values to ensure they serve as a catalyst for social progress, balancing efficiency with fairness and responsibility [2]