Papers
Sinha, Amber, and Vidushi Marda. “FinTech Lending in India: Taking Stock of Implications for Privacy and Autonomy.” Indian Journal of Law and Technology 18, no. 1 (2022). Download.
In this paper, Vidushi Marda and I trace the rise of lending business in Fintech in India, and the AI technologies that drove it. Through interviews conducted with industry experts, we analyse how these developments have been perceived by the industry, the alternatives to Aadhaar, how alternative data is viewed and the impact of restriction on Android apps on data scraping, among other points.
Sinha, Amber, and Bobina Zulfa. “Towards Afro-Feminist AI: A Handbook for Approaching Governance of AI in Africa” Pollicy, October 2023. Download.
Bobina Zulfa and I draw on principles from Afro-feminist literature, and provide practical regulatory recommendations on how they may be translated in policy.
Sinha, Amber, and Bobina Zulfa. “Principles of Afro-Feminist AI Data: Visions of Afro-Feminist, Emancipatory, Liberatory AI.” Pollicy, October 2023. Download.
In this paper, we envision Artificial intelligence (AI) systems that are emancipatory and liberatory for African people drawing on principles from Afro-feminist literature.
Sinha, Amber, and Arindrajit Basu. “Group Data Rights in Law and Policy.” In Emerging Trends in Data Governance, 24–40. India, New Delhi: National Law University Delhi Press, 2023. Download.
Arindrajit Basu and I consider group rights over data, and how algorithmically determined collectives can seek more transparency about algorithmic decisions turning on the basis of perceived membership of a group.
Sinha, Amber, and Arindrajit Basu. “Metaphors for Data and the Unshackling of Digital Power Asymmetries.” IT for Change, August 2023. Download.
We unpack the existing state of the global digital-political economy, and evaluate clusters of metaphors. This research attempts to address two key questions: How does a regulatory metaphor protect the human rights and dignity of individuals and communities? Second, how does a regulatory metaphor help unshackle existing power asymmetries in the global political economy of data?