[论文解读] Tackling the Algorithmic Control Crisis -- the Technical, Legal, and Ethical Challenges of Research into Algorithmic Agents

Balázs Bodó, Natali Helberger+7 more|UvA-DARE (University of Amsterdam)|Oct 29, 2025

Ethics and Social Impacts of AI被引用 134

一句话总结

本文讨论在研究算法代理时的方法、伦理与法律挑战，并就以伦理和合法的方式研究其影响提出具体建议。

ABSTRACT

Algorithmic agents permeate every instant of our online existence. Based on our digital profiles built from the massive surveillance of our digital existence, algorithmic agents rank search results, filter our emails, hide and show news items on social networks feeds, try to guess what products we might buy next for ourselves and for others, what movies we want to watch, and when we might be pregnant. Algorithmic agents select, filter, and recommend products, information, and people. Increasingly, algorithmic agents don't just select from the range of human created alternatives, but also they create. Burgeoning algorithmic agents are capable of providing us with content made just for us, and engage with us through one-of-a-kind, personalized interactions. Studying these algorithmic agents presents a host of methodological, ethical, and logistical challenges. The objectives of our paper are two-fold. The first aim is to describe one possible approach to researching the individual and societal effects of algorithmic recommenders, and to share our experiences with the academic community. The second is to contribute to a more fundamental discussion about the ethical and legal issues of "tracking the trackers", as well as the costs and trade-offs involved. Our paper will contribute to the discussion on the relative merits, costs and benefits of different approaches to ethically and legally sound research on algorithmic governance. We will argue that besides shedding light on how users interact with algorithmic agents, we also need to be able to understand how different methods of monitoring our algorithmically controlled digital environments compare to each other in terms of costs and benefits. We conclude our article with a number of concrete suggestions for how to address the practical, ethical and legal challenges of researching algorithms and their effects on users and society.

研究动机与目标

• 描述一种研究算法推荐系统对个体与社会影响的方法。
• 与学术界分享经验，以揭示实际挑战。
• 为关于追踪算法治理及相关成本与权衡的伦理与法律讨论做出贡献。
• 论证在成本与收益基础上评估和比较对算法环境的监控方法。

提出的方法

• 概述研究用户与算法代理交互的研究方法。
• 讨论数据收集与实验中的方法学、伦理与后勤挑战。
• 评估不同监控方法在算法环境中的成本、收益与权衡。
• 为解决该研究领域的实际、伦理和法律挑战提供具体建议。

实验结果

研究问题

• RQ1 哪些方法可以有效研究算法推荐系统对个体与社会的影响？
• RQ2 不同的监控算法控制环境的方法在成本与收益方面有何比较？
• RQ3 在跟踪算法代理的行为及其对用户的影响时，会出现哪些伦理与法律问题？

主要发现

• 需要理解用户如何与算法代理互动，以及这如何转化为社会影响。
• 不同的监控方法带来不同的成本与权衡，必须进行评估。
• 伦理与法律考虑是算法治理研究的核心，需要明确关注。
• 本文就解决实际、伦理和法律研究挑战提供了具体建议。