IIIT-H prof. bags Google India research award

Updated - September 08, 2020 11:13 pm IST - HYDERABAD

Vasudeva Varma from the International Institute of Information Technology-Hyderabad (IIIT-H) is all set to receive support as part of the Google India AI/ML Research Awards for his ‘Project Angel’.

According to an announcement made on the Google India Blog, Mr. Varma is one of the five awardees belonging to different varsities.

As reported previously in these columns, Project Angel uses artificial intelligence, machine learning and neuro-linguistic programming to trawl social media, scrape words or phrases which are tantamount to bullying or hate speech to protect young social media users, especially teenage girls, from online toxicity.

AI for social good

“This year, we received over a hundred proposals across various fields of AI. We also received several proposals working to advance the use of AI for social good. All proposals went through an extensive review process involving expert reviewers across Google who assessed the proposals on merit, innovation, connection to Google’s research efforts and alignment with our overall research philosophy and AI principles,” an excerpt from the Google India Blog reads.

“Vasudeva Varma, Professor at International Institute of Information Technology Hyderabad is advancing his work on ‘Project ANGEL’, an initiative aimed at utilizing machine learning techniques for enhancing the well-being of teenagers, especially teenage girls. “He intends to develop a cohesive technology stack (including prior work on building on hate speech detection, sexism classification), through multi-disciplinary research for helping teenagers in an empathetic, proactive manner,” another except reads.

Speaking to The Hindu , Mr. Varma said that his team is engaged in building machine learning models to classify sexism and to detect hate speech. The content filters, which are being developed, seek to ‘question’ bullying. “The most important thing is that when they (users) are trying to write belittling content such as body shaming somebody, these filters will be helpful to warn them against what they are doing,” he added.

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