Core Insights - The article discusses the rise of algorithmic power in decision-making processes and its implications for human autonomy, as highlighted in Marek Kowalkiewicz's book "Algorithmic Economy: The Intelligent Evolution of Business Logic and Human Life" [1][2] Group 1: Algorithmic Power and Its Impact - The introduction of algorithms in predicting student grades during the pandemic led to significant protests, revealing how algorithmic decisions can undermine individual efforts and fairness [2] - Approximately 36% of students received grades lower than teacher expectations, with 3% scoring two grades lower than anticipated, showcasing the potential pitfalls of algorithmic assessments [2] Group 2: Definition and Characteristics of Algorithmic Economy - Algorithmic economy is defined as an economic model driven by algorithms, focusing on automated decision-making, data analysis, and resource optimization [3] - Companies can create "agents" that utilize various AI models to shift from human management to algorithmic management, increasing the influence of algorithms on resources and decisions [3] Group 3: Principles for Algorithm Governance - Companies should establish a human-centered collaboration model, ensuring that human intelligence complements AI capabilities, particularly in emotional and ethical considerations [3][4] - Maintaining curiosity and innovation is essential for companies to guide AI algorithm iterations and explore new opportunities [4] - Continuous interaction with customers and stakeholders is crucial for refining algorithms, emphasizing transparency in algorithmic logic to prevent unfair practices [4] Group 4: Human-Machine Relationship - The book redefines the human-machine relationship, suggesting that algorithms should empower human decision-making rather than dominate it, akin to the ancient "two-wheeled chariot" analogy [6] - The balance between efficiency and humanity is vital for preserving human agency in the face of advancing technology [6]
算法时代谁来拍板
Jing Ji Ri Bao·2025-05-03 22:00