关于在计算机科学领域尽早、频繁且全面地预见计算创新不良后果的探讨
The Case for Anticipating Undesirable Consequences of Computing Innovations Early, Often, and Across Computer Science
AI总结：
本文指出计算创新常带来非预期的负面后果，呼吁计算机科学研究者主动预见并应对这些不良影响，并探讨如何改变当前仅在事后反思的文化现状。
摘要：
从侵犯我们隐私的智能传感器到生成逼真冒充者深度伪造的神经网络，我们的社会日益承受着计算创新带来的负面（即使是非预期的）后果。作为我们所创造技术领域的专家，计算机科学（CS）研究人员必须在主动预见和应对这些不良后果方面做得更好。我们先前的研究表明，我们中许多人认识到了预先思考研究所构成危害的价值，但我们往往只在事后才去应对。我们如何才能改变这种文化，使得在考虑数字技术的不良后果时被认为同样重要，却又不常被践行呢？
英文摘要：
From smart sensors that infringe on our privacy to neural nets that portray realistic imposter deepfakes, our society increasingly bears the burden of negative, if unintended, consequences of computing innovations. As the experts in the technology we create, Computer Science (CS) researchers must do better at anticipating and addressing these undesirable consequences proactively. Our prior work showed that many of us recognize the value of thinking preemptively about the perils our research can pose, yet we tend to address them only in hindsight. How can we change the culture in which considering undesirable consequences of digital technology is deemed as important, but is not commonly done?
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
