Combating Anti-Blackness in the AI Community

06/18/2020
by   Devin Guillory, et al.
0

In response to a national and international awakening on the issues of anti-Blackness and systemic discrimination, we have penned this piece to serve as a resource for allies in the AI community who are wondering how they can more effectively engage with dismantling racist systems. This work aims to help elucidate areas where the AI community actively and passively contributes to anti-Blackness and offers actionable items on ways to reduce harm.

READ FULL TEXT
research
12/14/2021

Online anti-Semitism across platforms

We created a fine-grained AI system for the detection of anti-Semitism. ...
research
02/23/2021

Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) – Potentials and Pitfalls for Top-down and Bottom-up Approaches

Corruption continues to be one of the biggest societal challenges of our...
research
03/05/2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

The volume of open-source biomedical data has been essential to the deve...
research
06/04/2021

Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model

Stereotypical language expresses widely-held beliefs about different soc...
research
02/01/2023

Anti-unification and Generalization: A Survey

Anti-unification (AU), also known as generalization, is a fundamental op...
research
06/21/2020

A blindspot of AI ethics: anti-fragility in statistical prediction

With this paper, we aim to put an issue on the agenda of AI ethics that ...
research
04/01/2014

Implementing Anti-Unification Modulo Equational Theory

We present an implementation of E-anti-unification as defined in Heinz (...

Please sign up or login with your details

Forgot password? Click here to reset