Author(s)

Xuanying Ren

Corresponding Author

Xuanying Ren

Abstract

In the context of data-driven existence, people and communities rely increasingly on algorithms that analyze and make sense of vast data. While these algorithms have been beneficial in increasing effectiveness, backing customized services, and aiding intelligent decision-making, they have also brought about several ethical concerns, notably the algorithm black box. The black box of algorithms reflects the fact that the workings of today's intelligent systems often lack transparency that makes them understandable to the outside world, making it impossible for external regulators, including users, to fully disclose how these algorithms affect the display of information, user interactions, and even public decision-making. As a result, these problems are not only limited to the technical field but also closely related to social ethics and legal norms. This paper investigates how algorithmic black box and intelligent emergence challenge traditional communication ethics, thus affecting information accuracy, transparency, fairness, and accountability. It also analyzes the motivations behind these challenges and proposes coping strategies. By analyzing specific cases and the latest research findings, we aim to propose strategies and suggestions for creating a more just, transparent, and sustainable digital social environment.

Keywords

Data-Driven Existence; Algorithm Black Box; Intelligent Emergence; Communication Ethics; Artificial Intelligence