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Lily Hu is a PhD candidate in Applied Mathematics and Philosophy at Harvard University. She works on topics in machine learning theory, algorithmic fairness, and philosophy of (social) science, and political philosophy.

Her current work focuses on causal inference methodology in the social sciences and is especially interested in how various statistical frameworks treat and measure the "causal effect" of social categories such as race, and ultimately, how such methods are seen to back normative claims about racial discrimination and inequalities broadly. 


News

News
Dec 14, 2018

Get to Know Berkman Klein Fellow Lily Hu

a spotlight on one of our 2018-2019 BKC Fellows


Community

Communications of the ACM

Embedded EthiCS: Integrating Ethics Across CS Education

Embedded EthiCS employs a distributed pedagogy that makes ethical reasoning an integral component of courses throughout the standard computer science curriculum.

Aug 6, 2019
Medium

What Do We Owe to the Internet’s “First Responders?”

Experts share perspectives on the ethics and legality of how social platforms moderate content

Until AI catches up, tens of thousands of human content moderators all around the world will continue to ingest thousands of posts of potentially toxic posts on social media,…

Apr 17, 2019
Harvard Magazine

Ethics and the dawn of decision-making machines

Even a thoughtfully designed algorithm must make decisions based on inputs from a flawed, imperfect, unpredictable, idiosyncratic real world

Dec 17, 2018

Events

Event
Apr 28, 2019 @ 12:00 PM

Having our cake and eating it too

How to develop AI competitively without falling victim to collective action problems

VIDEO: Could competition to develop new AI systems cause companies to cut corners ensuring their systems are safe and beneficial? More

Apr 12, 2019 @ 3:00 PM

The Cleaners

Film Screening and Panel Discussion

Told in the sinister style of a neon, cyberpunk thriller, The Cleaners charts social media’s evolution from a shared vision of a global village to a dangerous web of fake news,… More