The Queens Museum is pleased to present Stephanie Dinkins: On Love and Data, organized by Stamps Gallery, University of Michigan. This is the first survey of the renowned transmedia artist, who creates platforms for dialogue about artificial intelligence as it intersects race, gender, aging, and our future histories. Dinkins’ practice encourages action towards making artificial intelligence systems […]
“The Quest for Ethical Artificial Intelligence” The Distributed Artificial Intelligence Research Institute (DAIR) was launched in December 2021 by Timnit Gebru as a space for independent, community-rooted AI research, free from Big Tech’s pervasive influence. Gebru believes that the harms embedded in AI technology are preventable and that when its production and deployment include diverse […]
Trustworthy artificial intelligence (AI) has become an important topic because trust in AI systems and their creators has been lost. Researchers, corporations, and governments have long and painful histories of excluding marginalized groups from technology development, deployment, and oversight. As a result, these technologies are less useful and even harmful to minoritized communities. We argue […]
Race and technology are closely intertwined, continuously influencing and reshaping one another. While algorithmic bias has received increased attention in recent years, it is only one of the many ways that technology and race intersect in computer science, public health, digital media, gaming, surveillance, and other domains. To build inclusive technologies that empower us all, […]
Equitable and ethical data practices empower healthcare professionals, medical practitioners, data experts, and leaders in mitigating harm and promoting the eradication of health disparities. Join us and strengthen your skills in this 4-week workshop. Course outline Session 1: March 31 – Intro to health equity Session 2: April 7 – Data equity in healthcare Session […]
Join us on International Transgender Day of Visibility, for a conversation on algorithms, social media, protective community use policies, and how “echo chambers” can harm or protect the LGBTQIA community. The event is hosted by the School of Data Science and will be moderated by Donna Price, Chair of the Albemarle County, Virginia, Board of […]
“Mind the Gap: From Predictions to ML-Informed Decisions” Machine learning (ML) is increasingly being used to support decision-making in many organizational settings. However, there is currently a gap between the design and evaluation of ML algorithms and the functional role of these algorithms as tools for decision support. The first part of the talk will […]
About the Talk In recent years, conflicts over values and practices have emerged in hacking and free/libre and open source (FLOSS) communities, centering around diversity and inclusion. This talk features ethnographic research on feminist hacking and "diversity" efforts in mainstream hacking and FLOSS. It explores how participants work through thorny issues of inclusion through their […]
Su Lin Blodgett, a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research Montréal, will deliver a talk as part of CSRAI's Young Achievers Symposium. The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, […]
Many believe the child welfare system protects children from abuse. But as Torn Apart uncovers, this system is designed to punish Black families. Drawing on decades of research, legal scholar and sociologist Dorothy Roberts reveals that the child welfare system is better understood as a “family policing system” that collaborates with law enforcement and prisons […]
"Challenges and Frontiers in Deploying Transparent Machine Learning" Explainable machine learning offers the potential to provide stakeholders with insights into model behavior, yet there is little understanding of how organizations use these methods in practice. In this talk, Bhatt will discuss recent research exploring how organizations view and use explainability. He finds that most deployments […]
Race and technology are closely intertwined, continuously influencing and reshaping one another. While algorithmic bias has received increased attention in recent years, it is only one of the many ways that technology and race intersect in computer science, public health, digital media, gaming, surveillance, and other domains. To build inclusive technologies that empower us all, […]
Paidamoyo Chapfuwa, a postdoctoral research fellow at Stanford University, will deliver a talk as part of CSRAI's Young Achievers Symposium. The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research […]