Introducing Nikita Agarwal and her research on the legal and ethical challenges of machine learning in consumer lending, algorithmic governance in finance, and AI-related crime.
Play episode from 00:00
chevron_right
Transcript
chevron_right
Transcript
Episode notes
In today's episode, I talk to Nikita Aggarwal about the legal and regulatory aspects of AI and algorithmic governance. We focus, in particular, on three topics: (i) algorithmic credit scoring; (ii) the problem of 'too big to fail' tech platforms and (iii) AI crime. Nikita is a DPhil (PhD) candidate at the Faculty of Law at Oxford, as well as a Research Associate at the Oxford Internet Institute's Digital Ethics Lab. Her research examines the legal and ethical challenges due to emerging, data-driven technologies, with a particular focus on machine learning in consumer lending. Prior to entering academia, she was an attorney in the legal department of the International Monetary Fund, where she advised on financial sector law reform in the Euro area.
Post
Block
Status & visibility
Visibility
Public
Publish
September 18, 2020 1:09 pm
Stick to the top of the blog
Author
John Danaher
Enable AMP
Move to trash
9 Revisions
Permalink
Categories
Uncategorized
Podcast
Add New Category
Tags
Add New Tag
Separate with commas or the Enter key.
Featured image
Excerpt
Discussion
Open publish panel
NotificationsCode editor selected
The AI-powered Podcast Player
Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
