Intended Audience: General
-
Data Centering Racial Equity Throughout Data Integration
While most data sharing and integration occurs within a legal and governance framework, an emphasis on racial equity, transparency, and community engagement is often peripheral. This report focuses on the importance of a racial equity lens in data integration.
-
Automation + AI What the Digital Benefits Network is Reading on Automation
In this piece, the Digital Benefits Network shares several sources—from journalistic pieces, to reports and academic articles—we’ve found useful and interesting in our reading on automation and artificial intelligence.
-
Automation + AI The Equitable Tech Horizon in Digital Benefits Panel
Hear perspectives on topics including centering beneficiaries and workers in new ways, digital service delivery, digital identity, and automation.This video was recorded at the Digital Benefits Conference (BenCon) on June 14, 2023.
-
Automation + AI A Human Rights-Based Approach to Responsible AI
This paper argues that a human rights framework could help orient the research on artificial intelligence away from machines and the risks of their biases, and towards humans and the risks to their rights, helping to center the conversation around who is harmed, what harms they face, and how those harms may be mitigated.
-
Automation + AI Who Audits the Auditors? Recommendations from a Field Scan of the Algorithmic Auditing Ecosystem
Through a field scan, this paper identifies emerging best practices as well as methods and tools that are becoming commonplace, and enumerates common barriers to leveraging algorithmic audits as effective accountability mechanisms.
-
Automation + AI Algorithmic Accountability: Moving Beyond Audits
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
-
Communications Bias-Free Language
The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
-
Automation + AI Assembling Accountability: Algorithmic Impact Assessment for the Public Interest
This project maps the challenges of constructing algorithmic impact assessments (AIAs) by analyzing impact assessments in other domains—from the environment to human rights to privacy and identifies ten needed components for a robust impact assessment.
-
Automation + AI Artifice and Intelligence
This piece outlines the Privacy Center’s decision to stop using the words “artificial intelligence,” “AI,” and “machine learning” in their work.
-
Human-Centered Design City of Philadelphia Equitable Community Engagement Toolkit
The Equitable Community Engagement Toolkit is a toolkit created by City of Philadelphia engagement practitioners and community members to help improve equitable collaboration with the community the City serves.
-
Human-Centered Design Accessible Numbers
Use the accessible numbers project to design services for people who need help with numbers.
-
Management Employee Highlight from the City of Boston
Employee highlight of Allen Young from the City of Boston's Public Works Department.