Artificial Intelligence (AI) and Future of Work
Rapid advances in Machine Learning (ML) are engendering economically significant applications in speech and face recognition, customer retention, R&D, trading, anomaly detection, and operations and workflow design, amongst others, across diverse sectors. These applications, in turn, are giving rise to new tasks and occupations, new processes, and new business models.
While it is clear that Machine Learning is a general-purpose technology that spawns a plethora of opportunities, innovations and capabilities, there is limited empirical understanding or evidence of its specific expected impacts on organisational performance and the economy, including labour markets. This understanding is particularly limited in the Indian context.
Some of the research questions researchers at SRITNE aim to address are:
  1. What jobs or occupations across diverse sectors are susceptible to ML systems?
  2. What are some of the more complex effects on employment beyond the simple substitution effects emphasised by various industry reports?
  3. What are the tasks that are complements for ML systems, yielding augmentation of human capabilities and creation of new products, services and processes?
In recent developments, two complementary surveys were finished. First, a survey on Suitability of Machine Learning (SML) of 3,000 people across more than 100 occupations. A second survey of senior executives from 300 companies, who have adopted AI in their workflow, were both completed this year.