HCAICYMay 10, 2024

BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies

UW
arXiv:2405.06783v122 citationsh-index: 9CHI
Originality Incremental advance
AI Analysis

This addresses the challenge for researchers and practitioners in computer science to better anticipate adverse effects of technology, though it is incremental as it builds on existing extraction and interface techniques.

The paper tackles the problem of anticipating undesirable consequences of digital technologies by introducing BLIP, a system that extracts and categorizes such consequences from online articles, and found in user studies with 15 researchers that it substantially increased the number and diversity of consequences listed compared to prior methods.

Digital technologies have positively transformed society, but they have also led to undesirable consequences not anticipated at the time of design or development. We posit that insights into past undesirable consequences can help researchers and practitioners gain awareness and anticipate potential adverse effects. To test this assumption, we introduce BLIP, a system that extracts real-world undesirable consequences of technology from online articles, summarizes and categorizes them, and presents them in an interactive, web-based interface. In two user studies with 15 researchers in various computer science disciplines, we found that BLIP substantially increased the number and diversity of undesirable consequences they could list in comparison to relying on prior knowledge or searching online. Moreover, BLIP helped them identify undesirable consequences relevant to their ongoing projects, made them aware of undesirable consequences they "had never considered," and inspired them to reflect on their own experiences with technology.

Foundations

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