Autonomous driving paper index
Generative machine learning in professional work and professional service firms : a research agenda
One-line summary
We develop an approach using insights from existing literature on digital, algorithmic and artificial intelligence technologies.
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 addresses the need for an approach to theorizing professional work and professional service firms in the generative machine learning age. We develop an approach using insights from existing literature on digital, algorithmic and artificial intelligence technologies. We seek to extend existing theories whilst also responding to the distinctive characteristics of generative machine learning and the implications for how we theorize change. We argue that an approach is needed focused on emerging and future interdependencies between professionals and generative machine learning, something that implies extending but also reimagining theoretical perspectives on expertise, work and organizations.
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