Dora Zhao, 21, Class of 2021 Studies: Dora Zhao is majoring in computer science and is slated to earn two certificates: Statistics and Machine Learning from the Center for Statistics and Machine Learning (CSML) and Asian American Studies. Research: In her undergraduate research,…
Just like humans, data is deeply susceptible to bias. Humans create data, and so it therefore reflects our own biases, assumptions and blind spots. It’s unavoidable, then, that social biases exist in both company data and in the background data that feeds…
In recent years, diversity and inclusion (D&I) have emerged as a critically important issue and focus to ensure the success of work cultures and organizations large and small around the world. This summer, it was highlighted to an even greater degree as racial inequality…
Is your artificial intelligence fair? Thanks to the increasing adoption of AI, this has become a question that data scientists and legal personnel now routinely confront. Despite the significant resources companies have spent on responsible AI efforts in recent years, organizations still struggle with…
New York suspended the use of facial recognition in schools, as Governor Andrew Cuomo on Tuesday signed a bill that bans biometric tech in schools until July 2022. It directs the state to study whether its use is appropriate in schools, and issue recommendations. New York…
To work effectively, algorithms need user data — typically on an ongoing basis to help refine and improve the experience. To get user data, you need users. And to get users, especially lasting users who trust you with their data, you need to provide…
Here are just a few definitions of bias for your perusal. In statistics: Bias is the difference between the expected value of an estimator and its estimand. That’s awfully technical, so allow me to translate. Bias refers to results that are systematically off the…
Being good is easy, what is difficult is being just. ― Victor Hugo We need to defend the interests of those whom we’ve never met and never will. ― Jeffrey D. Sachs Note: This article is intended for a general audience to try and elucidate the complicated…
I’ve often been told, “The data does not lie.” However, that has never been my experience. For me, the data nearly always lies. Google Image search results for “healthy skin” show only light-skinned women, and a query on “Black girls” still returns pornography….
Imagine an algorithm that reviews thousands of financial transactions every second and flags the fraudulent ones. This is something that has become possible thanks to advances in artificial intelligence in recent years, and it is a very attractive value proposition for banks…
