论文标题
探索设计（与）人工智能的差异
Exploring the Nuances of Designing (with/for) Artificial Intelligence
论文作者
论文摘要
设计依赖人工智能的解决方案是为了预测数据模式和回答明确定义的问题，其中涉及一组枚举的解决方案，清晰的规则和固有的二进制决策机制。然而，随着它们在我们的日常活动中呈指数式实施，它们开始超越这些初始界限，并影响其所处的更大的社会技术系统。在这种安排中，解决方案面临着超过真或错误标准的压力，并转向对对与错的道德评估。在狭窄的AI或其未来化身状态下，算法解决方案也不足以完全减轻不良结果。我们必须采取整体观点。在本文中，我们探讨了基础设施的构造，作为在设计AI时同时解决算法和社会问题的一种手段。
Solutions relying on artificial intelligence are devised to predict data patterns and answer questions that are clearly defined, involve an enumerable set of solutions, clear rules, and inherently binary decision mechanisms. Yet, as they become exponentially implemented in our daily activities, they begin to transcend these initial boundaries and to affect the larger sociotechnical system in which they are situated. In this arrangement, a solution is under pressure to surpass true or false criteria and move to an ethical evaluation of right and wrong. Neither algorithmic solutions, nor purely humanistic ones will be enough to fully mitigate undesirable outcomes in the narrow state of AI or its future incarnations. We must take a holistic view. In this paper we explore the construct of infrastructure as a means to simultaneously address algorithmic and societal issues when designing AI.
