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Partnership on AI

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Namestring
Partnership on AI
Legal namestring
Partnership on AI to Benefit People and Society
Company typeenum
Private
Founded yearint
2016
Descriptiontext

Partnership on AI (PAI), legally "Partnership on AI to Benefit People and Society," is an independent nonprofit 501(c)(3) established in 2016 and headquartered in San Francisco, California. It was founded with multi-year grants from Apple, Amazon, Meta, Google/DeepMind, IBM, and Microsoft, alongside six nonprofit directors drawn from civil society, academia, and philanthropy. PAI's mission is to convene a cross-sector community — now spanning over 100 partners across industry, civil society, academia, and policy — to study, formulate, and publish best practices on artificial intelligence technologies. Its Board is structured with equal for-profit and not-for-profit representation to preserve independence and prevent any single partner from dominating the agenda.

The organization's core products are research publications and frameworks rather than software. These include the Guidance for Safe Foundation Model Deployment, Responsible Practices for Synthetic Media, Guidance for Inclusive AI, Guidelines for AI and Shared Prosperity, Strengthening the AI Assurance Ecosystem, Prioritizing Real-Time Failure Detection in AI Agents, and How AI Companies are Handling Suicide and Self-Harm Today. Supporting infrastructure includes international convenings (e.g., the Enterprise AI Governance Forum co-hosted with JPMorganChase, GitHub open foundation model workshops), an active Public Policy program, and a European Steering Committee. Topic coverage spans AI safety, AI and media integrity, AI labor and the economy, fairness/transparency/accountability, inclusive research and design, and public policy.

PAI does not sell a product. Its revenue model is philanthropic: a combination of corporate charitable contributions (non-earmarked to avoid conflicts of interest) and grants from philanthropic institutions including Ford Foundation, MacArthur Foundation, Luminate, and Knight Foundation. A $500,000 grant from Humanity AI in 2025 further illustrates ongoing funding diversification. The organization is classified as private (no public ticker), is not a subsidiary of any entity, and maintains its own social media and publishing infrastructure via partnershiponai.org.

Short descriptiontext

Partnership on AI is a nonprofit 501(c)(3) founded in 2016 that convenes 100+ partners across technology, civil society, academia, and philanthropy to publish AI governance frameworks, research, and industry guidelines addressing AI safety, synthetic media, labor, and inclusive deployment.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
responsible AI frameworks, AI safety research, AI policy guidance, multistakeholder AI convening, AI ethics guidelines
Industry5 codes
1AI Governance, Risk & Compliance (GRC) Platforms
CodeHDAAAMAAPrimaryYes
2Responsible AI, AI Governance & Compliance Services
CodeBPAEAHAJPrimaryNo
3Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001)
CodeHDAAAMAEPrimaryNo
4Audit, Explainability & Accountability Tooling (traceability, reporting)
CodeHDAAAKALPrimaryNo
5Documentation & Reporting Automation (Model Cards, Datasheets, Impact Assessments)
CodeHDAAAMAJPrimaryNo
NAICS code2 codes
  • Computer Systems Design and Related Services54151
  • Human Rights Organizations813311
Product category
AI Policy and Governance Research
Marketing channels4 records

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Title, Type, Stage, Description, Source

Distribution channels1 record

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Cost components6 values
Personnel, Operations, Marketing or Sales, Technology or R&D, Infrastructure, Others
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

Partnership on AI is a nonprofit 501(c)(3) organization that convenes technology companies, civil society, academia, and policymakers to advance responsible AI. It delivers a portfolio of frameworks, guidelines, research reports, and ecosystem maps (e.g., Safe Foundation Model Deployment, Synthetic Media, Inclusive AI, AI Assurance Ecosystem, AI and Shared Prosperity) and hosts international forums and policy convenings for cross-sector AI governance collaboration.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Partnership on AI (PAI) is a multi-stakeholder nonprofit organization (501(c)(3)) — not a conventional product company — that advances positive outcomes for people and society through research collaborations, published frameworks, convenings, and industry guidelines. Rather than a unified software platform, PAI's offering portfolio consists of structured guidance documents, research publications, and collaborative forums. Core publications include the Guidance for Safe Foundation Model Deployment (a framework for responsible model development and deployment), the Responsible Practices for Synthetic Media framework (collective action for AI-generated content transparency), the Guidance for Inclusive AI (stakeholder engagement guidance), and the Guidelines for AI and Shared Prosperity (economic benefit distribution across AI actors). Supporting research includes ecosystem maps such as Strengthening the AI Assurance Ecosystem and thematic studies such as How AI Companies are Handling Suicide and Self-Harm Today. PAI further convenes international forums — such as the Enterprise AI Governance Forum co-hosted with JPMorganChase — and develops cross-industry guidelines. PAI's work spans topic areas including AI Safety, AI and Media Integrity, AI Labor and the Economy, Fairness Transparency and Accountability, Inclusive Research and Design, and Public Policy.

Product and service1 record
1Guidance for Safe Foundation Model Deployment
Scale indicator1 record

Each record includes

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Partnership8 partners
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

DLA Piper joined PAI as a new partner in March 2026 as part of a cohort including ELLIS Alicante, MLCommons, Open Library Foundation, and Windfall Trust.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

MLCommons joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, ELLIS Alicante, Open Library Foundation, and Windfall Trust.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

Open Library Foundation joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, ELLIS Alicante, MLCommons, and Windfall Trust.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

ELLIS Alicante joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, MLCommons, Open Library Foundation, and Windfall Trust.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-03-01
Description

Windfall Trust joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, ELLIS Alicante, MLCommons, and Open Library Foundation.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-16
Description

PAI and JPMorganChase co-hosted the Enterprise AI Governance Forum in New York as an official pre-summit event ahead of the India AI Impact Summit. The forum brought together stakeholders to discuss scaling enterprise AI adoption safely, responsibly, and inclusively, identifying four key facets of responsible AI governance: Integration, Collaboration, Dynamism, and Human-centricity.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-09-11
Description

Ingka Group, the largest IKEA retailer representing about 90% of IKEA retail sales across 31 markets, has joined PAI. As part of the partnership, IKEA will contribute to global conversations on ethical AI use and work alongside experts from think tanks and philanthropic organizations to develop practical guidance for responsible AI deployment aligned with human-centric values. IKEA brings existing AI initiatives including a digital ethics framework, responsible automation practices, and an AI and Data Literacy movement.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-04-11
Description

PAI and GitHub co-hosted an in-person workshop on April 11, 2024, convening experts from industry, academia, and civil society to explore safeguards for open foundation models and responsibilities within the AI value chain. The workshop produced a framework mapping the open foundation model ecosystem and identified 15 risk mitigation strategies across three categories: Prevent, Detect, and Respond.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Global standards body producing technical and ethical AI standards such as the Ethically Aligned Design framework. Comparable in producing authoritative AI ethics and governance documents, but rooted in formal standards development rather than nonprofit convening.

TypeDirect peer
Description

Research institute producing policy research on the social implications of AI, with strong emphasis on accountability, labor, and rights. Directly comparable as an AI governance research and advocacy organization operating in the same nonprofit, multi-stakeholder space.

TypeBroad incumbent
Description

Academic institute producing influential AI policy research, indexes, and convenings. Comparable in producing frameworks and convening multi-stakeholder dialogue, but operates with university backing and broader research scope than PAI.

TypeDirect peer
Description

Nonprofit producing applied AI ethics research, frameworks, and educational content. Comparable in publishing AI ethics guidance, operating as a nonprofit, and serving both practitioner and policymaker audiences.

TypeDirect peer
Description

Nonprofit focused on reducing existential and catastrophic risks from advanced AI through advocacy, grantmaking, and policy research. Highly comparable to PAI in mission, governance posture, and target audience of policymakers, labs, and civil society.

TypeBroad incumbent
Description

International organization convening governments and industry on AI governance and policy frameworks. Comparable in hosting AI summits and producing governance guidance, but with broader political economy scope and membership-based funding.

7Ada Lovelace Institute
TypeDirect peer
Description

UK-based research and advocacy body examining AI and data-driven technologies through a societal lens. Comparable as a mission-aligned nonprofit producing frameworks, research, and policy recommendations for responsible AI.

TypeBroad incumbent
Description

Intergovernmental platform supporting the OECD AI Principles with policy data, research, and multi-stakeholder convening. Comparable as a global convener producing AI governance guidance, though backed by member-state authority rather than nonprofit funding.

TypeDirect peer
Description

Research organization focused on AI existential and catastrophic risk, including the influential CAIS Statement on AI Risk. Comparable as a mission-driven nonprofit producing safety guidance, policy recommendations, and convening academic and industry voices.

TypeEmerging player
Description

Engineering-focused consortium developing AI benchmarks, safety evaluations, and standards (including MLPerf and now a PAI partner). Comparable in producing safety and evaluation infrastructure for AI systems, but oriented toward technical benchmarking rather than governance convening.

Market position
Strengths4 records

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Weaknesses4 records

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Competitive moat5 records

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Key risks5 records

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Key highlights6 records

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Segment1 record

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Ideal customer profile3 records

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Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

API detail
Has APIbool
No

Docs URL, Description

AI capability6 records

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Investors1 record

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Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

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Name, Acquisition type, Announced date, Completed date, Status, Website, News

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Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Partnership on AI

AI Policy and Governance Researchpartnershiponai.org

Partnership on AI is a nonprofit 501(c)(3) founded in 2016 that convenes 100+ partners across technology, civil society, academia, and philanthropy to publish AI governance frameworks, research, and industry guidelines addressing AI safety, synthetic media, labor, and inclusive deployment.

What Partnership on AI does

Partnership on AI (PAI), legally "Partnership on AI to Benefit People and Society," is an independent nonprofit 501(c)(3) established in 2016 and headquartered in San Francisco, California. It was founded with multi-year grants from Apple, Amazon, Meta, Google/DeepMind, IBM, and Microsoft, alongside six nonprofit directors drawn from civil society, academia, and philanthropy. PAI's mission is to convene a cross-sector community — now spanning over 100 partners across industry, civil society, academia, and policy — to study, formulate, and publish best practices on artificial intelligence technologies. Its Board is structured with equal for-profit and not-for-profit representation to preserve independence and prevent any single partner from dominating the agenda.

The organization's core products are research publications and frameworks rather than software. These include the Guidance for Safe Foundation Model Deployment, Responsible Practices for Synthetic Media, Guidance for Inclusive AI, Guidelines for AI and Shared Prosperity, Strengthening the AI Assurance Ecosystem, Prioritizing Real-Time Failure Detection in AI Agents, and How AI Companies are Handling Suicide and Self-Harm Today. Supporting infrastructure includes international convenings (e.g., the Enterprise AI Governance Forum co-hosted with JPMorganChase, GitHub open foundation model workshops), an active Public Policy program, and a European Steering Committee. Topic coverage spans AI safety, AI and media integrity, AI labor and the economy, fairness/transparency/accountability, inclusive research and design, and public policy.

PAI does not sell a product. Its revenue model is philanthropic: a combination of corporate charitable contributions (non-earmarked to avoid conflicts of interest) and grants from philanthropic institutions including Ford Foundation, MacArthur Foundation, Luminate, and Knight Foundation. A $500,000 grant from Humanity AI in 2025 further illustrates ongoing funding diversification. The organization is classified as private (no public ticker), is not a subsidiary of any entity, and maintains its own social media and publishing infrastructure via partnershiponai.org.

Partnership on AI firmographics

Firmographics
Name
Partnership on AI
Legal name
Partnership on AI to Benefit People and Society
Website
https://partnershiponai.org
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
11–50 employees
Short description
Partnership on AI is a nonprofit 501(c)(3) founded in 2016 that convenes 100+ partners across technology, civil society, academia, and philanthropy to publish AI governance frameworks, research, and industry guidelines addressing AI safety, synthetic media, labor, and inclusive deployment.
Ownership category
akta.pro rank

Partnership on AI industry classification

Industry
Product category
AI Policy and Governance Research
NAICS
Computer Systems Design and Related Services (54151), Human Rights Organizations (813311)
akta.pro primary industry
AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA)
akta.pro secondary industries
Responsible AI, AI Governance & Compliance Services (BPAEAHAJ), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Documentation & Reporting Automation (Model Cards, Datasheets, Impact Assessments) (HDAAAMAJ)

Keywords

  • Responsible AI frameworks
  • AI safety research
  • AI policy guidance
  • Multistakeholder AI convening
  • AI ethics guidelines

Where Partnership on AI is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Markets served

Partnership on AI business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Operations, Marketing or Sales, Technology or R&D, Infrastructure, Others

Distribution channels1 record

Marketing channels4 records

Partnership on AI product offering

Product offering

Core offering

Partnership on AI is a nonprofit 501(c)(3) organization that convenes technology companies, civil society, academia, and policymakers to advance responsible AI. It delivers a portfolio of frameworks, guidelines, research reports, and ecosystem maps (e.g., Safe Foundation Model Deployment, Synthetic Media, Inclusive AI, AI Assurance Ecosystem, AI and Shared Prosperity) and hosts international forums and policy convenings for cross-sector AI governance collaboration.

Product overview

Partnership on AI (PAI) is a multi-stakeholder nonprofit organization (501(c)(3)) — not a conventional product company — that advances positive outcomes for people and society through research collaborations, published frameworks, convenings, and industry guidelines. Rather than a unified software platform, PAI's offering portfolio consists of structured guidance documents, research publications, and collaborative forums. Core publications include the Guidance for Safe Foundation Model Deployment (a framework for responsible model development and deployment), the Responsible Practices for Synthetic Media framework (collective action for AI-generated content transparency), the Guidance for Inclusive AI (stakeholder engagement guidance), and the Guidelines for AI and Shared Prosperity (economic benefit distribution across AI actors). Supporting research includes ecosystem maps such as Strengthening the AI Assurance Ecosystem and thematic studies such as How AI Companies are Handling Suicide and Self-Harm Today. PAI further convenes international forums — such as the Enterprise AI Governance Forum co-hosted with JPMorganChase — and develops cross-industry guidelines. PAI's work spans topic areas including AI Safety, AI and Media Integrity, AI Labor and the Economy, Fairness Transparency and Accountability, Inclusive Research and Design, and Public Policy.

Differentiator

Problem solved

Functional benefit

Products and services

  • Guidance for Safe Foundation Model Deployment

Companies that use Partnership on AI

Customer profile

Segments1 record

Ideal customer profiles3 records

Partnership on AI technology and API

Technology

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability6 records

Partnership on AI partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered minor and core.

  • DLA PiperminorStrategic or Co-development Partner · 1 March 2026DLA Piper joined PAI as a new partner in March 2026 as part of a cohort including ELLIS Alicante, MLCommons, Open Library Foundation, and Windfall Trust.
  • MLCommonsminorStrategic or Co-development Partner · 1 March 2026MLCommons joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, ELLIS Alicante, Open Library Foundation, and Windfall Trust.
  • Open Library FoundationminorStrategic or Co-development Partner · 1 March 2026Open Library Foundation joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, ELLIS Alicante, MLCommons, and Windfall Trust.
  • ELLIS AlicanteminorStrategic or Co-development Partner · 1 March 2026ELLIS Alicante joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, MLCommons, Open Library Foundation, and Windfall Trust.
  • Windfall TrustminorStrategic or Co-development Partner · 1 March 2026Windfall Trust joined PAI as a new partner in March 2026 as part of a cohort including DLA Piper, ELLIS Alicante, MLCommons, and Open Library Foundation.
  • JPMorganChasecoreStrategic or Co-development Partner · 16 February 2026PAI and JPMorganChase co-hosted the Enterprise AI Governance Forum in New York as an official pre-summit event ahead of the India AI Impact Summit. The forum brought together stakeholders to discuss scaling enterprise AI adoption safely, responsibly, and inclusively, identifying four key facets of responsible AI governance: Integration, Collaboration, Dynamism, and Human-centricity.
  • Ingka Group (IKEA)coreStrategic or Co-development Partner · 11 September 2024Ingka Group, the largest IKEA retailer representing about 90% of IKEA retail sales across 31 markets, has joined PAI. As part of the partnership, IKEA will contribute to global conversations on ethical AI use and work alongside experts from think tanks and philanthropic organizations to develop practical guidance for responsible AI deployment aligned with human-centric values. IKEA brings existing AI initiatives including a digital ethics framework, responsible automation practices, and an AI and Data Literacy movement.
  • GitHubcoreStrategic or Co-development Partner · 11 April 2024PAI and GitHub co-hosted an in-person workshop on April 11, 2024, convening experts from industry, academia, and civil society to explore safeguards for open foundation models and responsibilities within the AI value chain. The workshop produced a framework mapping the open foundation model ecosystem and identified 15 risk mitigation strategies across three categories: Prevent, Detect, and Respond.

Scale indicators1 record

Recent moves6 records

Expansion highlights7 records

Partnership on AI competitors and assessment

Company assessment

Broad incumbents

  • IEEE Standards Association: Global standards body producing technical and ethical AI standards such as the Ethically Aligned Design framework. Comparable in producing authoritative AI ethics and governance documents, but rooted in formal standards development rather than nonprofit convening.
  • Stanford Institute for Human-Centered Artificial Intelligence (HAI): Academic institute producing influential AI policy research, indexes, and convenings. Comparable in producing frameworks and convening multi-stakeholder dialogue, but operates with university backing and broader research scope than PAI.
  • World Economic Forum (Centre for the Fourth Industrial Revolution): International organization convening governments and industry on AI governance and policy frameworks. Comparable in hosting AI summits and producing governance guidance, but with broader political economy scope and membership-based funding.
  • OECD AI Policy Observatory: Intergovernmental platform supporting the OECD AI Principles with policy data, research, and multi-stakeholder convening. Comparable as a global convener producing AI governance guidance, though backed by member-state authority rather than nonprofit funding.

Direct peers

  • AI Now Institute: Research institute producing policy research on the social implications of AI, with strong emphasis on accountability, labor, and rights. Directly comparable as an AI governance research and advocacy organization operating in the same nonprofit, multi-stakeholder space.
  • Montreal AI Ethics Institute: Nonprofit producing applied AI ethics research, frameworks, and educational content. Comparable in publishing AI ethics guidance, operating as a nonprofit, and serving both practitioner and policymaker audiences.
  • Future of Life Institute: Nonprofit focused on reducing existential and catastrophic risks from advanced AI through advocacy, grantmaking, and policy research. Highly comparable to PAI in mission, governance posture, and target audience of policymakers, labs, and civil society.
  • Ada Lovelace Institute: UK-based research and advocacy body examining AI and data-driven technologies through a societal lens. Comparable as a mission-aligned nonprofit producing frameworks, research, and policy recommendations for responsible AI.
  • Center for AI Safety: Research organization focused on AI existential and catastrophic risk, including the influential CAIS Statement on AI Risk. Comparable as a mission-driven nonprofit producing safety guidance, policy recommendations, and convening academic and industry voices.

Emerging players

  • MLCommons: Engineering-focused consortium developing AI benchmarks, safety evaluations, and standards (including MLPerf and now a PAI partner). Comparable in producing safety and evaluation infrastructure for AI systems, but oriented toward technical benchmarking rather than governance convening.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

Partnership on AI social profiles

Digital presence

Partnership on AI compliance and trust

Trust signal

Compliance2 records

Partnership on AI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Partnership on AI leadership team

Management profile

Number of profiles

Profiles1 record

Partnership on AI funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Partnership on AI M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Partnership on AI

What does Partnership on AI do?

Partnership on AI is a nonprofit 501(c)(3) organization that convenes technology companies, civil society, academia, and policymakers to advance responsible AI. It delivers a portfolio of frameworks, guidelines, research reports, and ecosystem maps (e.g., Safe Foundation Model Deployment, Synthetic Media, Inclusive AI, AI Assurance Ecosystem, AI and Shared Prosperity) and hosts international forums and policy convenings for cross-sector AI governance collaboration.

Is Partnership on AI a public or private company?

Partnership on AI is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Partnership on AI founded?

Partnership on AI was founded in 2016. It employs 11 to 50 people.

Where is Partnership on AI based?

Partnership on AI is headquartered in San Francisco, United States, in the North America region.

Who are Partnership on AI's main competitors?

Broad incumbents on record are IEEE Standards Association, Stanford Institute for Human-Centered Artificial Intelligence (HAI), World Economic Forum (Centre for the Fourth Industrial Revolution) and OECD AI Policy Observatory. Direct peers are AI Now Institute, Montreal AI Ethics Institute, Future of Life Institute, Ada Lovelace Institute and Center for AI Safety. MLCommons is listed as an emerging player.

Does Partnership on AI have an API?

No public API is recorded for Partnership on AI.

What industry is Partnership on AI in?

Partnership on AI's product category is AI Policy and Governance Research. Its primary akta.pro industry code is HDAAAMAA, AI Governance, Risk & Compliance (GRC) Platforms, with a secondary code of BPAEAHAJ, Responsible AI, AI Governance & Compliance Services. Its NAICS code is 54151.

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Live signals
Business Wire BlogPartnership on AI Announces New Global Initiatives to Measure Progress in Responsible AIPartnership on AI (PAI) announced two new global initiatives during the first Global Dialogue on AI Governance: the Global AI Progress Hub and the "Global Responsible AI: Measures of Progress" report. The Progress Hub will serve as a platform for organizations to document and track their actions toward responsible AI, while the annual report will provide independent assessment of the field. Public access to the digital platform is expected to be available in spring 2027.FinancialContent Business PagePartnership on AI Announces New Global Initiatives to Measure Progress in Responsible AIThe Partnership on AI (PAI) announced two new global initiatives—the Global AI Progress Hub and the 'Global Responsible AI: Measures of Progress' report—during the first Global Dialogue on AI Governance, a United Nations convening. The initiatives aim to establish a global standard for assessing whether AI systems are ethical, safe, and trustworthy, creating what PAI describes as the first public record of responsible AI in action. Public access to the digital Progress Hub platform will be available in spring 2027.MorningstarPartnership on AI Announces New Global Initiatives to Measure Progress in Responsible AIPartnership on AI announced the Global AI Progress Hub and an annual report to measure responsible AI progress. The initiatives aim to create a public record of ethical AI practices, with the hub launching in spring 2027.PartnershiponaiPartnership on AIThe Partnership on AI's Enterprise AI program is developing a suite of resources, including a governance guide, risk assessment framework, and model card template, to help companies manage responsible AI practices. The initiative involves a multi-stakeholder steering committee comprising representatives from major technology firms such as Salesforce, Google, Microsoft, Adobe, TikTok, and Mozilla, alongside other organizations like the Future of Privacy Forum and the Center for Democracy & Technology.PartnershiponaiFour Facets of Responsible Enterprise AI GovernancePartnership on AI and JPMorganChase co-hosted the Enterprise AI Governance Forum in New York as an official pre-summit event ahead of the India AI Impact Summit, bringing together global stakeholders to discuss scaling enterprise AI adoption safely and responsibly. The forum identified four key facets of responsible AI governance: Integration, Collaboration, Dynamism, and Human-centricity, emphasizing that effective AI policy requires engaging multiple stakeholders beyond regulation alone. The article previews the upcoming India AI Impact Summit in New Delhi and discusses the concept of 'sovereign AI' as countries seek national agency in AI governance frameworks.PartnershiponaiCorporate AI Governance Matters Now More Than EverPartnership on AI has published a blog post arguing that corporate AI governance is essential as AI capabilities advance faster than regulation, using the Grok nudification scandal as an example of how business decisions to integrate AI with minimal moderation can enable harm. The organization outlines its 2025 priorities: responsible design of interactive AI systems, AI for worker benefit, and building trust across the agentic AI value chain, including issuing a second annual report card on post-deployment monitoring. Partnership on AI will attend the India AI Impact Summit in February and release a Roadmap for Assurance across the AI Ecosystem as part of its 10-year anniversary commitments.MilvusCan collaboration between organizations improve LLM guardrail systems?The article argues that collaboration between organizations enhances Large Language Model (LLM) guardrail systems by pooling expertise, sharing resources, and addressing individual team gaps. It cites examples such as cross-organizational testing with social media platforms and standardization efforts by the Partnership on AI to illustrate how shared frameworks improve safety and reliability. The text also notes that effective collaboration requires technical interoperability and clear governance to manage challenges like data privacy.PartnershiponaiPreparing for AI Agent GovernancePartnership on AI has released a research agenda outlining a roadmap for policymakers and researchers to prepare for the governance of AI agents amidst uncertain societal impacts. The report recommends prioritizing evidence gathering through regulatory sandboxes and testbeds rather than implementing immediate prescriptive regulations. It identifies 12 top-level questions and 45 sub-questions to guide future policy development regarding AI agent capabilities, risks, and interventions.PartnershiponaiDecoding AI Governance: A Toolkit for Navigating Evolving Norms, Standards, and RulesPartnership on AI, in collaboration with Microsoft, has introduced three conceptual tools—the AI Governance Stack, Map, and Anchors and Hooks framework—to improve coherence in global AI governance. These instruments are designed to help stakeholders visualize, coordinate, and align diverse regulatory and industry standards amid geopolitical volatility. The initiative seeks feedback on these frameworks to promote interoperability and shared best practices among developers, policymakers, and civil society.PartnershiponaiPrioritizing Real-Time Failure Detection in AI AgentsThe Partnership on AI has released a report emphasizing the necessity of real-time failure detection systems for autonomous AI agents to mitigate risks associated with direct environmental actions. The framework categorizes risk based on action stakes, reversibility, and architectural affordances, advocating for layered monitoring controls in high-stakes scenarios. The authors call for prioritized technical research and regulatory guidance to establish safety norms before widespread agent deployment.