Nikita Aggarwal is a Research Associate at the Digital Ethics Lab, as well as a doctoral candidate at the Faculty of Law, University of Oxford. Her research examines the legal and ethical challenges due to emerging, data-driven technologies, with a particular focus on machine learning in consumer lending. She also investigating questions related to the governance of blockchain, and internet platform policy and regulation more broadly. As the Research and Course Design Fellow in Law and Technology under the ESRC-funded project ‘Unlocking the Potential of AI for English Law’, she helped to design and deliver a more interdisciplinary approach to law and technology education at the University of Oxford. In the academic year 2020-2021 she will be a Visiting Fellow at the Information Society Project, Yale Law School.
Prior to entering academia, Nikita was an attorney in the legal department of the International Monetary Fund, where she advised on financial sector law reform in the Euro area and worked extensively on initiatives to reform the legal and policy frameworks for sovereign debt restructuring. She previously practiced as an associate with Clifford Chance LLP, where she specialized in EU financial regulation and sovereign debt restructuring. She earned her law degree (LLB) from the London School of Economics and Political Science, and is a solicitor of England and Wales.
- Aggarwal, ‘Book Review: The Political Economy of Robots: Prospects for Prosperity and Peace in the Automated 21stCentury’ (2019) Vol. 95(3) International Affairs 727.
- Financial Markets Law Committee (co-authored), ‘Initial Coin Offerings: Report on Legal Uncertainties’ (2019).
- Aggarwal, ‘Big Data and the Obsolescence of Consumer Credit Reports’, Clifford Chance Talking Tech (2019).
- Aggarwal and Floridi, Towards the Ethical Publication of Country of Origin Information (COI) in the Asylum Process
- Aggarwal and Floridi, ‘The Opportunities and Challenges of Blockchain in the Fight Against Government Corruption‘ Featured Article 2018 Activity Report of the Council of Europe’s Group of States Against Corruption’ (pp 16-18)
- Aggarwal, Eidenmüller, Enriques, Payne, van Zwieten (Eds) Autonomous Systems and the Law (Beck 2019)
- Aggarwal, ‘Machine Learning, Big Data and the Regulation of Consumer Credit Markets: The Case of Algorithmic Credit Scoring’ in Aggarwal et al (eds) Autonomous Systems and the Law (Beck 2019) 37
- King, Aggarwal, Taddeo, Floridi, ‘Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions’ (2019)
- Aggarwal and Floridi, ‘Ethics of Data Publication in the Context of Asylum Claims‘ (2018)
- “Strengthening the contractual framework for sovereign debt restructuring – the IMF’s perspective”(Aggarwal and DeLong, Capital Markets Law Journal (2016) 11 (1): 25-37; )
- “Progress Report on Inclusion of Enhanced Contractual Provisions in International Sovereign Bond Contracts” (IMF 2015, co-authored)
- “The Fund’s Lending Framework and Sovereign Debt Restructuring – Further Considerations” (IMF 2016, co-authored)
- “Strengthening the contractual framework to overcome collective action problems in sovereign debt restructuring” (IMF 2014, co-authored)
- “The Fund’s Lending Framework and Sovereign Debt Restructuring – Preliminary Considerations” (IMF 2014, co-authored)
- “Reforming the Fund’s policy on non-toleration of arrears to official creditors“ (IMF 2015, co-authored)
- “Eurozone Financial Rescue and Stabilization Mechanisms and their Legal Foundations” in Sovereign Debt Management (Yianni and Aggarwal, OUP 2013 eds. Lastra and Buchheit)
- “Legal Underpinnings of an EU Banking Union” in From Fragmentation to Financial Integration in Europe (Jansen, Gullo and Aggarwal, IMF 2013 eds. Enoch and ors)
- “A Banking Union for the Euro Area” IMF Staff Discussion Note (SDN/13/01, co-authored).
Image Credit: MinJae Cho (minjae.ch)