AI is about learning algorithms and huge amounts of data and are drivers of economic growth -- what does this mean for the field of development studies? Can we re-orient to twin AI studies and development theory and practice to generate how development challenges are identified and researched? To do this a good grasp is needed of AI internal mechanisms and outcomes in addressing development issues -- this argument will be developed through a case study of the ADAS [Advanced Driver Assistance System] deployment in India. Over and above discussing the ADAS we bring an anthropological lens to understand the social context that surrounds the system. Focusing on bus drivers, we offer findings from a qualitative and ethnographic study of drivers in a collaborative effort to achieve road safety by deploying AI-driven technology and empowering stakeholders in the transport industry in India especially, bus drivers as critical actors in the city transport network.

翻译：人工智能涉及学习算法与海量数据，是经济增长的驱动力——这对发展研究领域意味着什么？我们能否将人工智能研究与发展理论与实践相结合，以重新定义发展挑战的识别与研究方式？要实现这一点，需深入理解人工智能在解决发展问题中的内部机制及其成效——这一论点将通过印度ADAS[高级驾驶辅助系统]部署的案例研究展开。除探讨ADAS外，我们还引入人类学视角以理解系统所处的社会背景。聚焦公交车司机群体，我们呈现了一项基于定性研究与民族志方法的司机研究成果，该研究旨在通过部署人工智能驱动技术并赋能印度交通行业相关方（尤其是作为城市交通网络关键行动者的公交车司机），协同实现道路安全目标。