Roundtable on AI and Finance in India

by Saman Goudarzi last modified Mar 11, 2018 02:58 PM
Centre for Internet & Society (CIS) will hold a roundtable on artificial intelligence and finance in India on Wednesday, February 7, 2018 in association with HasGeek and the 50p Conference. The roundtable will take place from 2 p.m. to 5 p.m at TERI (The Energy Resources Institute) in Domlur, Bengaluru.

Event details


Feb 07, 2018
from 02:00 PM to 05:00 PM


4th Main Road, Domlur, 2nd Stage, Bengaluru, Karnataka 560071

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We invite you all to participate in this roundtable to share and build knowledge about trajectories of AI deployment across sub-sectors of banking in India and the emergent regulatory and public policy concerns.

The objective of the roundtable is to bring together various actors active across the fields of artificial intelligence, machine learning, cognitive computing, financial technologies,and big data credit scoring and online lending, to discuss pressing public policy issues in regards to the utilisation and implementation of AI in the banking and finance sectors of India.

These sectors currently find themselves at the early stages of AI adoption. Such technologies are being implemented to facilitate both front-end and back-end processes by a variety of players with the aim of improving the accessibility, customised user engagement, and quality of current financial services. Leading commercial banks in India have all been working to develop and deploy AI technologies either in house or in partnership with small and large-scale tech companies. Such initiatives have seen the deployment of numerous chatbots and humanoid robots for the purposes of customer service. More significant, however, is the use of such technology by banks and fintech actors to facilitate decision making behind the scenes, on a variety of financial issues including but not limited to credit-worthiness, fraud detection, and investments.

While these sectors are no strangers to the use of big data analytics and similar technologies in aiding with financial decision making and daily operations, the deployment of technologies such as machine learning and natural language processing is still very new. Due to the nascent nature of this phenomenon, little is known about the details of their implications for both producers and consumers. Furthermore, concerns regarding data ownership, liability, and consumer rights have all been raised in light of AI adoption. This roundtable will present us with an opportunity to discuss such issues and begin to fill this knowledge gap.

For agenda and event brochure click here. For RSVP click here. Read the event report here