partnershiponai.org Open in urlscan Pro
35.197.65.13  Public Scan

Submitted URL: http://www.partnershiponai.org/
Effective URL: https://partnershiponai.org/
Submission: On December 07 via api from US — Scanned from DE

Form analysis 0 forms found in the DOM

Text Content

 * 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