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Submitted URL: http://www.partnershiponai.org/
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Submission: On December 07 via api from US — Scanned from DE
Effective URL: https://partnershiponai.org/
Submission: On December 07 via api from US — Scanned from DE
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* OUR WORK * How We Work * Programs * Inclusive Research & Design * AI & Media Integrity * AI, Labor, and the Economy * FTA & ABOUT ML * Safety-Critical AI * Workstreams * Impact Stories * RESOURCES * Blog * Resource Library * EVENTS * ABOUT US * About Us * Mission, Vision, & Values * Pillars * Tenets * Team * Funding * Press * Careers * PARTNERS * OUR WORK * How We Work * Programs * Inclusive Research & Design * AI & Media Integrity * AI, Labor, and the Economy * FTA & ABOUT ML * Safety-Critical AI * Workstreams * Impact Stories * RESOURCES * Blog * Resource Library * EVENTS * ABOUT US * About Us * Mission, Vision, & Values * Pillars * Tenets * Team * Funding * Press * Careers * PARTNERS * * CONTACT × SEARCH PARTNERSHIP ON AI IS BRINGING TOGETHER DIVERSE VOICES FROM ACROSS THE AI COMMUNITY To create resources for advancing positive outcomes for people and society. Improving Conditions for Data Enrichment Workers PAI is sharing a set of resources AI organizations can use to formalize their data enrichment practices and have a positive impact on the lives of data enrichment workers. Read More Drawing From Worker Insights to Chart a Better Path for Workplace AI Drawing from an international study of on-the-job experiences with AI, PAI's new report identifies ways that AI is impacting job quality and what can be done so that everyone benefits. Read More Improving Documentation in Practice: Our First ABOUT ML Pilot For our first ABOUT ML Pilot, PAI worked with a European startup to identify opportunities to make its documentation framework even more effective in practice. Read More The Partnership on AI Response to the Federal Trade Commission’s Advance Notice of Proposed Rulemaking on Commercial Surveillance and Data Security Read More Making It Easier to Compare the Tools for Explainable AI Many AI/ML practitioners use XAI tools to develop responsible AI systems. But picking the right tool can be a challenge. To address this problem, PAI is building an XAI Toolsheet to compare tools easily. Read More Making AI Inclusive: 4 Guiding Principles for Ethical Engagement PAI’s latest white paper shares strategies for understanding and overcoming the challenges related to engaging stakeholders in inclusive AI/ML practices. Read more WE ARE A NON-PROFIT COMMUNITY OF ACADEMIC, CIVIL SOCIETY, INDUSTRY, AND MEDIA ORGANIZATIONS ADDRESSING THE MOST IMPORTANT AND DIFFICULT QUESTIONS CONCERNING THE FUTURE OF AI. STORIES OF IMPACT By creating actionable resources for the AI community, PAI translates critical insights into positive impact on the world INVESTIGATING CHALLENGES TO DIVERSITY IN AI Working in partnership with DeepMind, PAI researchers launched a study to investigate high attrition rates among women and minoritized individuals in tech. EXPLORE RECOMMENDATIONS IN PRACTICE: META RESEARCHERS APPLY PAI GUIDANCE While developing the language model OPT-175B, Meta AI wanted to ensure transparency, responsibility, and reproducibility were at the forefront. To do so, they turned to PAI for guidance. EXPLORE TAKING A METHODICAL APPROACH TO BEST PRACTICES PAI worked with First Draft to support information integrity, investigating what works (and what does not) when addressing deceptive content online. EXPLORE Learn More About Our Impact Explore OUR WORK Currently organized under Programs, our work contributes to the rigorous development of resources, recommendations, and best practices for AI. Inclusive Research & Design * Inclusive Research & Design * AI, Labor, and the Economy * AI and Media Integrity * Fairness, Transparency and Accountability & ABOUT ML * Safety-Critical AI * Inclusive Research & Design * AI, Labor, and the Economy * AI and Media Integrity * Fairness, Transparency and Accountability & ABOUT ML * Safety-Critical AI INCLUSIVE RESEARCH & DESIGN At PAI, equity and inclusion are core values which we seek to promote among our Partner organizations, in our own work, and throughout the greater AI field, including in machine learning and other automated decision-making systems. This Program explores the many barriers to inclusion in the AI space — as experienced by those who work in technology and those who are consistently excluded from key decision-making processes. The Inclusive Research and Design Program is currently creating resources to help AI practitioners and impacted communities more effectively engage one another to develop AI responsibly. Ultimately, this work seeks to achieve a more holistic reimagining of how AI is developed and deployed around the world, leading to an AI industry that recognizes end users and impacted communities as essential expert groups. Learn More AI, LABOR, AND THE ECONOMY PAI believes that AI has tremendous potential to solve major societal problems and make peoples’ lives better. At the same time, individuals and organizations must grapple with new forms of automation, wealth distribution, and economic decision-making. Whether AI promotes equality or increases injustice, whether it makes all of us richer or the poor poorer is a choice we, as a world, must consciously make. To advance a beneficial economic future from AI, the AI, Labor, and the Economy Program gathers Partner organizations, economists, and worker representative organizations. Together, these actors work to form shared answers and recommendations for actionable steps that need to be taken to ensure AI supports an inclusive economic future. Learn More AI AND MEDIA INTEGRITY While AI has ushered in an unprecedented era of knowledge-sharing online, it has also enabled novel forms of misinformation, manipulation, and harassment as well as amplifying harmful digital content’s potential impact and reach. PAI’s AI and Media Integrity Program directly addresses these critical challenges to the quality of public discourse by investigating AI’s impact on digital media and online information, researching timely subjects such as manipulated media detection, misinformation interventions, and content-ranking principles. Through this Program, PAI works to ensure that AI systems bolster the quality of public discourse and online content around the world, which includes considering how we define quality in the first place. By convening a fit-for-purpose, multidisciplinary field of actors — including representatives from media, industry, academia, civil society, and users that consume content — the AI and Media Integrity Program is developing best practices for AI to have a positive impact on the global information ecosystem. Learn More FAIRNESS, TRANSPARENCY, AND ACCOUNTABILITY & ABOUT ML Fairness, Transparency, and Accountability encompasses PAI’s large body of research and programming around algorithmic fairness, explainability, criminal justice, and diversity and inclusion. In 2020 alone, this work examined the challenges organizations face when they seek to measure and mitigate algorithmic bias using demographic data, provide meaningful explanations to diverse stakeholders, address bias in recidivism risk assessment tools, and build more inclusive AI teams. With ABOUT ML, PAI is leading a multistakeholder effort to develop guidelines for the documentation of machine learning systems, setting new industry norms for transparency in AI. This means not just identifying the necessary components of transparency, but releasing actionable resources to help organizations operationalize transparency at scale. Developed through an iterative, multistakeholder process, these resources pool the collective efforts and insights of academic researchers, industry practitioners, civil society organizations, and the impacted public. Learn More SAFETY-CRITICAL AI Given AI’s potential for misuse, how do we develop and deploy algorithmic systems responsibly? Increasingly, AI systems are being deployed in contexts where safety risks can have widespread consequences, including medicine, finance, transportation, and social media. This makes anticipating and mitigating such risks — in both the near and long term — an urgent societal need. Our Safety Critical AI Program convenes Partners and other stakeholders to develop best practices that can help us avert likely accidents, misuses, and unintended consequences of AI technologies. We don’t have to wait for such incidents to arise. As our work shows, precaution can be taken as early as the research stage to ensure the development of safe AI systems. Learn More About Our Programs Explore OUR PARTNERS With a diverse Partner community drawn from members across the globe, PAI spans sectors, disciplines, and borders. By gathering the leading companies, organizations, and people differently affected by artificial intelligence, PAI establishes a common ground between entities that otherwise may not have cause to work together and—in so doing—serves as a uniting force for good in the AI ecosystem. View all Partners 99Partners14Countries 4Media 12Industry 27Academic 56Non-profit LATEST UPDATES Blog General PAI/Other PAI RESPONSE TO THE FTC’S ADVANCE NOTICE OF PROPOSED RULEMAKING ON COMMERCIAL SURVEILLANCE AND DATA SECURITY PAI Staff Nov 30, 2022 Blog AI, Labor, and the Economy/Responsible Sourcing Across the Data Supply Line PAI AND DEEPMIND COLLABORATE TO DEVELOP TOOLS FOR SOURCING ENRICHED DATA RESPONSIBLY Sonam Jindal, Hudson Hongo Nov 16, 2022 Blog SUPPORTING CORPORATE RESPONSIBILITIES WITH EMERGING AI TECHNOLOGIES: INSIGHTS FROM THE PAI BOARD PAI Staff Oct 13, 2022 Blog Fairness, Transparency, and Accountability & ABOUT ML/ABOUT ML IMPROVING DOCUMENTATION IN PRACTICE: OUR FIRST ABOUT ML PILOT Jiyoo Chang Oct 11, 2022 Press Release General PAI/Other PARTNERSHIP ON AI APPLAUDS THE WHITE HOUSE’S BLUEPRINT FOR AN AI BILL OF RIGHTS PAI Staff Oct 05, 2022 Blog AI, Labor, and the Economy/AI and Shared Prosperity Initiative DRAWING FROM WORKER INSIGHTS TO CHART A BETTER PATH FOR WORKPLACE AI Stephanie Bell Sep 28, 2022 Blog General PAI/Announcements PARTNERSHIP ON AI WELCOMES PROMINENT NEW DIRECTORS WITH EXPERTISE IN PUBLIC POLICY AND TECHNOLOGY PAI Staff Sep 15, 2022 Blog General PAI/Announcements NEW LEADERSHIP APPOINTMENTS STRENGTHEN PARTNERSHIP ON AI’S PROGRAMS, RESEARCH, AND POLICY CAPABILITIES PAI Staff Sep 08, 2022 * * * * OUR WORK * RESOURCES * EVENTS * ABOUT US * PARTNERS © 2022 Partnership on AI | All Rights Reserved * Transparency and Governance * Privacy Policy