Research
Responsible Sourcing of Data Enrichment Services
As AI becomes increasingly pervasive, there has been growing and warranted concern over the effects of this technology on society. To fully understand these effects, however, one must closely examine the AI development process itself, which impacts s...
Research
Responsible Sourcing of Data Enrichment Services
News
Fact-Checks, Info Hubs, and Shadow-Bans: A Landscape Review of Misinformation Interventions
Research
Redesigning AI for Shared Prosperity: an Agenda
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PAI Launches New Phase of Cooperative Initiative to Share Prosperity of AI With All Communities
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Partnership on AI Awarded Knight Foundation Grant to Support Local News
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Managing the Risks of AI Research: Six Recommendations for Responsible Publication
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Operationalizing AI Ethics Through Documentation: ABOUT ML in 2021 and Beyond
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PAI Begins Strategic 5-Year Review and Requests Partner Input
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Labeling Misinformation Isn’t Enough. Here’s What Platforms Need to Do Next.
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Challenges for Responsible AI Practitioners and the Importance of Solidarity
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Partnership on AI 2020 Annual Report: Charting a Course Together for Responsible AI
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Partnership on AI Assembles Global Community To Build a Healthy Information Ecosystem
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Partnership on AI and USC Center for AI in Society To Advance Research and Deployment in Explainable Artificial Intelligence
Events
Navigating the Broader Impacts of AI Research: Workshop at NeurIPS 2020
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Beyond Engagement: Aligning Algorithmic Recommendations With Prosocial Goals
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Developing Guidance for Responsible Data Enrichment Sourcing
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Crucial Yet Overlooked: Why We Must Reconcile Legal and Technical Approaches to Algorithmic Bias
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A Joint Statement from Terah Lyons & PAI Board Chair on Executive Director Transition
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How Many Jobs Will AI Destroy? As Many As We Tell It To.
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Methods for Inclusion: Expanding the Limits of Participatory Design in AI
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When AI Systems Fail: Introducing the AI Incident Database
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From Affirmative Action to Affirmative Algorithms: The Legal Challenges Threatening Progress on Algorithmic Fairness
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Beyond the Pipeline: Addressing Attrition as a Barrier to Diversity in AI
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From Insight to Impact: Reflections From the 2020 All Partners Meeting
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Introducing the SafeLife Leaderboard: A Competitive Benchmark for Safer AI
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Welcoming The AI Shared Prosperity Initiative Steering Committee
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Introducing a Framework for Promoting Workforce Well-being in an AI-integrated Workplace
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Framework for Promoting Workforce Well-being in the AI-Integrated Workplace
Research
The Ethics of AI and Emotional Intelligence
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Researching Diversity, Equity, and Inclusion in the Field of AI
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Multistakeholder Approaches to Explainable Machine Learning
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Manipulated Media Detection Requires More Than Tools: Community Insights on What’s Needed
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What’s the responsibility of the AI industry in ensuring that AI serves to create an inclusive global economy?
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It matters how platforms label manipulated media. Here are 12 principles designers should follow.
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Statement by PAI’s Executive Director on Black Lives Matter and Systemic Racism
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Building Responsible AI with New International Partners
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Why PATTERN Should Not Be Used: The Perils of Using Algorithmic Risk Assessment Tools During COVID-19
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Working to Address Algorithmic Bias? Don’t Overlook the Role of Demographic Data
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PAI Researchers Co-author Multistakeholder Report on Improving Verifiability in AI Development
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Aligning AI to Human Values means Picking the Right Metrics
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A Message to our Community in the time of COVID-19
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Partnership on AI & First Draft Begin Investigating Labels for Manipulated Media
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To Prevent Algorithmic Bias, Legal and Technical Definitions around Algorithmic Fairness Must Align
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A Report on the Deepfake Detection Challenge
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Industry and Civil Society Organizations Demystify Facial Recognition Systems
Events
Beyond Hype and Innovation: AI for Social Good
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Welcoming New PAI Board Members: Rebecca Finlay, Prof. Thore Graepel, and Dr. Prem Natarajan
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Partnership on AI 2019 Annual Report: Building a Connected Community for Responsible AI
Research
Bringing Facial Recognition Systems To Light
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Join The Partnership at FAT* 2020
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PAI Launches Interactive Project To Put Ethical AI Principles into Practice
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Partnership on AI Welcomes Health Catalyst
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Explainable AI in Practice Falls Short of Transparency Goals
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Bridging AI Principles to Practice with ABOUT ML
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On AI & Media Integrity: Insights from the Deepfake Detection Challenge
Events
Join PAI at NeurIPS 2019
News
Introducing SafeLife: Safety Benchmarks for Reinforcement Learning
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How Should Human Rights Advocacy Balance the Opportunities & Risks of Artificial Intelligence?
Media Integrity
AI and Media Integrity Steering Committee
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Co-Creating the Future of Responsible AI: Reflections from the All Partners Meeting
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PAI and First Draft Launch Research Fellowship on Media Manipulation
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Why We’re Creating a Dedicated Research Fellowship to Advance Diversity and Inclusion in AI
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PAI Research Promotes Responsible Collaborations between People and AI Systems
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New Partners To Bolster Perspective For Responsible AI
Research
Human-AI Collaboration Framework & Case Studies
Research
Human-AI Collaboration Trust Literature Review – Key Insights and Bibliography
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Promoting Worker Well-Being in the AI Integrated Workplace
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How ABOUT ML Taps Collective Wisdom
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Partnership on AI Calls for Visa Accessibility Globally to Accelerate Responsible AI Development
Research
Visa Laws, Policies, and Practices: Recommendations for Accelerating the Mobility of Global AI/ML Talent
News
The Partnership on AI Steering Committee on AI and Media Integrity
Events
Watch: AI and the Future of Work Webinar
Events
AI Ethics Requires a Bridge Between Theory & Practice
Events
Protecting Public Discourse from AI-Generated Mis/Disinformation
News
Welcoming New PAI Board Members: Angela Glover Blackwell and Dr. Ayanna Howard
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New Partners To Strengthen Global Community of Practice
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What are AI’s Real-World Impacts on Labor and the Economy?
Research
AI, Labor, and the Economy Case Study Compendium
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Artificial Intelligence Research and Ethics Community Calls for Standards in Criminal Justice Risk Assessment Tools
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The Partnership on AI Launches Multistakeholder Initiative To Enhance Machine Learning Transparency
Research
Report on Algorithmic Risk Assessment Tools in the U.S. Criminal Justice System
Events
When Is It Appropriate to Publish High-Stakes AI Research?
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Lisa Dyer Joins The Partnership on AI as Director of Policy
Events
Immersive Learning Reflections from FAT*, Equal Justice Initiative Legacy Museum & The National Memorial for Peace and Justice
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Call for Applications: The Partnership on AI Fellowship Program
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Building a Community of Practice: Reflections from our 2nd All Partners Meeting
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The Partnership on AI and the National Science Foundation Announce Joint Support for Exploratory Research on AI and Society
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Expanding the Partnership on AI to include new members, geographies, and sectors
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PAI Announces New Institutional Board Directors
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Partnership on AI Welcomes Samir Goswami as Chief Operating Officer
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Introducing Our First Chinese Member to the Partnership on AI
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Partnership on AI Announces Peter Eckersley as Director of Research
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Partnership on AI Welcomes Julia Rhodes Davis as Director of Partnerships
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Expanding the Partnership on AI Community – August 1st
Working Groups
Working Group Charters: Guiding our exploration of AI’s hard questions
News
The Partnership on AI is Hiring: Policy, Communications, COO, and Program Associates
Working Groups
“Safety-Critical AI” Working Group launches in San Francisco
Working Groups
“Fair, Transparent, and Accountable AI” Working Group launches in London
Working Groups
“AI, Labor, and the Economy” Working Group launches in New York City
News
The Partnership on AI is Hiring
Ongoing Project
ABOUT ML - Annotation and Benchmarking on Understanding and Transparency of Machine learning Lifecycles