Building a Digital Path of Empowerment: How a Carnegie Mellon Team is Bringing the Underserved to the New Global Economy
In a small Muslim community in eastern India, about 4,000 miles from Pittsburgh, information technology is transforming the lives of young women and their families, thanks to the concept of digital inclusion.
It was here that Sunder Kekre, Vasantrao Dempo Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business, visited iMerit at the invitation of the company’s CEO, Radha Basu. The company provides a broad array of data annotation services focused on machine learning and computer vision use cases in the customer service area, spanning organizations within the retail and financial services sector. But beyond that, the company is committed to human empowerment, with a focus on women and marginalized youth.
Roughly half of the company’s work force is women, and 80 percent of its employees come from families with monthly incomes under $100 U.S. dollars. Now, they have the ability to earn an income that not only can sustain their families, but also allow them to remain in their home towns. Additionally, by learning about machine learning and computer vision, the employees are able to create a more robust livelihood while gaining confidence, independence, and a new voice in their communities.
Kekre’s visit to iMerit has led to a new global collaboration that seeks to answer some of the most pressing questions related to both technology and society.
“What struck me was the idea of human knowledge powering machine learning. I felt that here was a dimension that we needed to explore, understand and support,” said Kekre.
He took the idea to CMU alumnus Shrinivas Dempo (MSIA ’95), now chairman of the Dempo Group in India, who offered to fund a research and development collaboration with iMerit through Kekre’s endowed chair. Roni Rosenfeld, a professor in the Machine Learning Department at Carnegie Mellon’s School of Computer Science, previously had worked extensively in this area, and also agreed to join the effort.
“We spent a lot of time trying to understand the approach and the challenges faced by iMerit in building its capabilities. We made it a point to look at the human angle first, and then the technology,” said Rosenfeld. “The priority was not automation, but capability building. We decided to build some supporting technology for the iMerit team in its efforts to learn language annotation for natural language tasks. This is one of the most aspirational and dramatic leaps of capability for the impact workforce.”
He guided Daniel Wen, a sophomore studying computer science, to build systems that could help train iMerit’s new staff. Wen created multiple algorithms to enhance the staff training process and integrated them with iMerit’s existing toolkit.
“It was like going back to school. It was exhilarating to trade ideas with the CMU team,” said Jai Natarajan, iMerit’s vice president of technology, who worked closely with CMU to define the problem and domain.
Wen’s results were promising and subsequently, Abhinav Maurya, a doctoral student at Carnegie Mellon’s Heinz College of Information Systems and Public Policy, carried the work forward with the guidance of Rahul Telang, professor of information systems, Heinz College of Information Systems and Public Policy, who also holds a courtesy appointment with the Tepper School. “I’ve rarely known so many people to align so quickly in a project. I think the cause spoke to something in all of us,” Telang said.
In January 2018, Kekre returned to India to help iMerit test the CMU team’s solutions in an experiment with 28 new hires. “I was amazed at how ambitious and open to absorbing new technology the team was,” said Maurya, Heinz College of Information Systems and Public Policy doctoral student who worked on the project. “It offers a new perspective for those of us who look at data all day in academia.”
The CMU team now is analyzing the data and designing additional experiments, which will explore how automated algorithms can enhance practical training and how humans respond to machines learning from their complex domains. Meanwhile, Rosenfeld also is planning to visit India and is working with Wen and others to explore the use of computer vision with iMerit.
Dempo is keenly watching the progress. “This isn’t about just iMerit or Carnegie Mellon. It’s bigger than all of us,” he said. “We have to take the lead in answering these key questions for Indian society. How do we provide digital inclusion for marginalized youth? How do we do well by doing good?”
Radha Basu, CEO of iMerit, praised the Carnegie Mellon team’s participation.
“The future of work will involve human expertise alongside machine intelligence. The power of human insight trains the machine and drives its development. We are rapidly building understanding of this through our services for customers.” Basu noted. “It turns out that no matter how much technology we are used to, we are always drawn to the human factor in the equation.”
Bob Dammon, dean of the Tepper School and professor of financial economics, sees the power of cross-campus interconnected collaboration.
“This critical research is another example of how Carnegie Mellon University and the Tepper School collaborate to solve important societal problems,” Dammon said.
For Kekre, the project was a true labor of love.
“It gives me a chance to take the best that CMU has to offer and – with the help of our alums such as Shrinivas Dempo and friends like Radha Basu – to make a meaningful synergistic impact to these aspiring youth in India,” he said. “I now see the power behind our founder Andrew Carnegie’s words: my heart is in the work.”