  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.
