Fighting Prejudice in Artificial Intelligence By Smitha Ganesh of Thoughtworks - at Rising 2019

Rising 2019 | Women in AI Conference
8th March 2019, Bangalore
https://rising.analyticsindiasummit.com

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AI isn’t dangerous, but the human bias is! However, one must be cognizant about any unintended consequences of using this technology. The unseen harm that AI can cause is them reflecting our human biases in the data sets the organisations collect. There would be a compounding effect during the emergence of AI, as the algorithms exhibit self-learning from data. To fight this prejudice, I would talk about aspects like diversity inclusive mindset for data collection, the possibility of building and taking AI to an elevated level and recognising the vitality involved with AI training systems.
SMITHA GANESH
Principal Consultant - Data Scientist at Thoughtworks

Smitha is an experienced data scientist, with 14+ years of industry experience and
proven track record of leading, designing and developing solutions to enable
businesses achieve their $MM productivity. She has a master’s degree in structural
engineering from VTU and has earlier worked with GM and GE on simulations and
machine learning techniques. Excellent publication record including a patent
alongside. Good organizational and analytical skills, strives to build knowledge base
and drives change through innovative thinking and strategic initiatives. She has a
strong domain expertise in industries such as aviation, oil & gas and automotive. Her
technical expertise is on feature extraction, classification, supervised/unsupervised
learning, statistical modelling & time series forecast. She has strong interests in
applied machine learning- pattern recognition, document sanitization, time-series
analysis and anomaly detection. She is also working with few of the universities in
helping them align their curriculum to current data science trends. Currently a
Principal Consultant at ThoughtWorks, India and is working on projects that help
clients become AI mature.