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Yashashwini Santuka on Algorithmic Content Moderation, and the Issues Behind Automated Data Governance: Meta India Tech Scholars 2022-23

In her presentation, Santuka delved into the intricate overlap between personal data protection and platform governance principles, focusing on the increasing use of AI in content moderation by companies.

“There is a lack of empirical substantiation or even comprehensive directives for any sort of ethical content moderation [in the context of artificial intelligence],” argued Yashashwini Santuka in her research presentation for the Meta India Tech Scholars program (MITS). “Content moderation, as we know, lies at the very heart of the very use of social media websites, of the use of the Internet…It is a complex process that has to be taken up by all platforms to enhance their user’s experiences of the Internet.”

Santuka, a final year law student at NALSAR University of Law, Hyderabaddelved into the intricate overlap between personal data protection and platform governance principles, focusing on the increasing use of AI in content moderation by companies like X, Meta, and YouTube. She approached this from a comparative standpoint and explored the dynamic between personal data rights and community-based data rights.

MediaNama has once again collaborated with the Meta India Tech Scholars program to bring to you the tech policy research its fellows investigated over the last year. The fellows investigated critical issues of tech policy to understand how they impact and influence India’s tryst with technology. Meta launched this program to provide a research and mentorship platform to law students who are keen to engage in contemporary questions of technology, law, and policy. The law firm Shardul Amarchand Mangaldas & Co. (SAM) is supporting the program as a knowledge partner.

Santuka’s experience spans internships with independent counsel, research contributions, and active involvement in co-curricular activities.

Disclaimer: The title, presentation, research, views and other work associated with this paper are solely those of the author. The same do not and are not meant to represent the views, positions or opinions of Meta, any of its affiliates and / or personnel.

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