Autonomous driving paper index
Designing the Future of Work: A Literature Review Framing How AI Shapes Engineering Practice
One-line summary
This paper reviews literature in Engineering, Economics, and Science and Technology Studies (STS) to generate a conceptual framework explaining the role and impact of Artificial Intelligence (AI) on engineering work.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
This paper reviews literature in Engineering, Economics, and Science and Technology Studies (STS) to generate a conceptual framework explaining the role and impact of Artificial Intelligence (AI) on engineering work. In recent years, with the growth of AI capabilities, labour analysts have raised concerns about job replacement and displacement in routine work. However, the extent to which AI impacts engineering work, and how social and technical factors influence these changes, is unclear. Findings from this literature review indicate four discrete impacts on engineers’ work—replacement, augmentation, transformation, and enhancement—which differ along four dimensions—the nature of the task (routine/non-routine; technical/social); competencies (high/low skillsets), mindsets (open/closed to AI), and organizational factors (hierarchical/flat; supports/constraints). We illustrate the relationships between these factors through a conceptual framework that will serve as the groundwork for further, empirical research.
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