Law Commons^™

Towards A Data-Driven Financial System: The Impact Of Covid-19, Nydia Remolina

Centre for AI & Data Governance

The COVID-19 outbreak has a growing impact on the global economy and the financial sector, which plays a critical role in mitigating the unprecedented macroeconomic and financial shock caused by the pandemic. Given the unprecedented nature of the current crisis, financial regulators and supervisors, central banks, along with governments and legislatures face challenges to maintain financial stability, preserve the well-functioning core markets, and ensure the flow of credit to the real economy. Even though the COVID-19 has slowed down our daily lives and stopped the operation of many industries, it did not have the same effect in the data-driven finance …

A New Compact For Sexual Privacy, Danielle K. Citron

Faculty Scholarship

Intimate life is under constant surveillance. Firms track people’s periods, hot flashes, abortions, sexual assaults, sex toy use, sexual fantasies, and nude photos. Individuals hardly appreciate the extent of the monitoring, and even if they did, little can be done to curtail it. What is big business for firms is a big risk for individuals. The handling of intimate data undermines the values that sexual privacy secures—autonomy, dignity, intimacy, and equality. It can imperil people’s job, housing, insurance, and other crucial opportunities. More often, women and minorities shoulder a disproportionate amount of the burden.

Privacy law is failing us. Our …

Ethics, Ai, Mass Data And Pandemic Challenges: Responsible Data Use And Infrastructure Application For Surveillance And Pre-Emptive Tracing Post-Crisis, Mark Findlay, Jia Yuan Loke, Nydia Remolina Leon, Yum Yin, Benjamin (Tan Renyan) Tham

Research Collection Yong Pung How School Of Law

As the COVID-19 health pandemic rages governments and private companies across the globe are utilising AI-assisted surveillance, reporting, mapping and tracing technologies with the intention of slowing the spread of the virus. These technologies have the capacity to amass personal data and share for community control and citizen safety motivations that empower state agencies and inveigle citizen co-operation which could only be imagined outside such times of real and present danger. While not cavilling with the short-term necessity for these technologies and the data they control, process and share in the health regulation mission, this paper argues that this infrastructure …

Big Data Prosecution And Brady, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Prosecutors are joining the big data revolution, adopting “intelligence-driven” strategies to target crime patterns. Centralized big data systems now track offenders, places, and groups allowing prosecutors to link crimes by time, place, associations, or other connections. Adding to these types of formalized, structured databases are growing sources of raw, unstructured big data from digital surveillance technologies like video cameras, police body cameras, and automated license plate readers. The prosecutors of the future will sit on a wealth of valuable investigative insights – all searchable and potentially relevant for a more aggressive and proactive investigation strategy.But as helpful as these new …

Tracking Client Outcomes: A Qualitative Assessment Of Civil Legal Aid’S Use Of Outcomes Data, With Recommendations, David Udell, Amy Widman

Faculty Scholarship

In virtually all sectors of society, people are using data to improve what they do. Everyone, it seems, is interested in data, and is searching for best strategies to draw on its power. The stakes are high in the civil legal aid community, where strengthened advocacy can enable people to preserve their homes, their relationships with their children, their life savings, their physical and emotional well-being, and even their freedom.

Yet, in the civil legal aid community, awareness of the power of data is just beginning to take root. Traditionally, civil legal aid has been thinly funded, with little infrastructure …

Mining The Harvard Caselaw Access Project, Felix B. Chang, Erin Mccabe, James Lee

Faculty Articles and Other Publications

This Essay illustrates how machine learning can disrupt legal scholarship through the algorithmic extraction and analysis of big data. Specifically, we utilize data from Harvard Law School’s Caselaw Access Project to model how courts tackle two thorny question in antitrust: the measure of market power and the balance between antitrust and regulation.