Center for Responsible AI at NYU

Name

Center for Responsible AI at NYU

Legal name

Center for Responsible AI at New York University

Website

https://airesponsibly.com

Company type

Private

Operating status

Operating

Headcount range

11–50 employees

Ownership category

akta.pro rank

Product category

AI Research and Education Services

NAICS

Research and Development in the Social Sciences and Humanities (54172), Educational Support Services (611710), Software Publishers (51321)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Responsible AI Policy, Controls & Workflow Management (HDAAAMAG)

akta.pro secondary industries

Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), AI Tutoring Systems (Conversational Tutors, Homework Helpers) (EDAFAFAC), AI & Machine Learning (Foundations & Applied) (EDAMACAG)

Keywords

• Responsible AI research
• AI ethics education
• Algorithmic fairness tools
• AI policy research
• AI literacy training

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Others

Revenue model

1. Academic Grants and Research Funding: The Center operates as a university research center funded primarily through academic grants and institutional funding. Financial support for #RAIforUkraine program is provided by NYU R/AI, Simons Foundation, and NYU Office of Global Services.
2. Donations and Philanthropic Contributions: The Center accepts charitable donations through GiveCampus for the #RAIforUkraine program, targeting individual donors and institutional supporters to fund stipends and operations for Ukrainian research fellows.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels6 records

Core offering

The Center for Responsible AI at NYU conducts interdisciplinary research, develops open-source software tools, and delivers open-access educational programs on responsible AI. Its work spans data-centric AI, algorithmic fairness, explainability, privacy, and ranking, alongside technology policy engagement and public AI literacy initiatives such as the NY AI Exchange, #RAIforUkraine, and the We Are AI public education course.

Product overview

The Center for Responsible AI at NYU (R/AI) operates as a research and education organization rather than a single product company. Its portfolio centers on interdisciplinary research and educational programs focused on responsible AI development and deployment. Key offerings include the NY AI Exchange (a convening hub for multi-stakeholder AI dialogue), the #RAIforUkraine remote research fellowship program, and a suite of educational products including the Responsible Data Science course, Causal Inference Playground, Algorithmic Transparency Playbook, the Alice in Algorithmia animated series, and the We Are AI public education course. These are complemented by accessible comics series and research publications addressing data-centric AI, fairness, explainability, privacy, and ranking.

Differentiator

Problem solved

Functional benefit

Brands

• #RAIforUkraine: A fully remote academic research program supporting Ukrainian students displaced by war, providing research opportunities and mentorship in responsible AI topics.
• New York AI Exchange

Products and services

• NY AI Exchange A convening hub for AI dialogue that brings together education, research, policy, industry, the arts, and the broader public. Hosts in-person forums, policy discussions, research showcases, and public programs organized around themes including AI literacy, community governance dialogues, workshops, AI guidance for small/medium businesses, and AI & creativity programming. Operated by R/AI in partnership with CUNY.
• #RAIforUkraine Research Fellowship Program A fully remote academic research program providing research opportunities to displaced Ukrainian students while strengthening responsible AI research capacity in Ukraine. Provides academic credit in Fall semester and competitive stipends in Spring and Summer terms to selected students from 18 Ukrainian universities, mentored by 70 academics across 35 institutions in 12 countries.
• Responsible Data Science Course A comprehensive technical university course covering ethics, legal compliance, data quality, algorithmic fairness, transparency, and privacy. All course materials, lecture slides, lab notebooks, and readers are publicly available online at no cost.
• We Are AI Public Education Course A public education course on AI developed in partnership with P2PU and Queens Public Library, designed to introduce AI basics, social dimensions, and empower individuals to engage with AI governance. Delivered as facilitated learning circles for community members.
• Algorithmic Transparency Playbook A course detailing how to implement algorithmic transparency in organizations, targeting practitioners, industry leaders, managers, and executives. Course materials are publicly accessible online.
• Causal Inference Playground An interactive online tool providing a rigorous and accessible introduction to causal inference techniques for answering real-world questions.
• Alice in Algorithmia Animated Short Film An animated short film following a person's navigation of AI in daily life, created to promote AI literacy. The first in the Algorithmia series.
• We Are AI Comics Series Comic series explaining responsible AI concepts, available in English, Spanish, Ukrainian, Greek, French, and Brazilian Portuguese. Includes volumes on what AI is, learning from data, bias, and who decides.
• Virny Responsible Model Selection Toolkit Open-source software toolkit for responsible model selection and evaluation, distributed via GitHub. Includes VirnyView for visualization. Designed for AI practitioners and researchers evaluating fairness and performance across model alternatives.
• DataSynthesizer Privacy-Preserving Synthetic Data Tool Open-source software tool for generating privacy-preserving synthetic datasets. Distributed via GitHub for researchers and practitioners needing differential privacy in data sharing.

Quantifiable outcome

• 112 students supported from 18 Ukrainian universities since 2022
• +3 more outcomes

Named customers2 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature5 records

Partnerships

Five partnerships are on record, tiered core.

• Ukrainian Catholic University (UCU)coreStrategic or Co-development Partner · 1 June 2022NYU R/AI launched #RAIforUkraine in partnership with Ukrainian Catholic University (UCU) in Lviv, Ukraine. The fully remote academic research program provides Ukrainian students with research opportunities, academic credit, and competitive stipends while advancing responsible AI knowledge. UCU students serve as RAI Research Fellows conducting collaborative research under mentorship from U.S. and European academics.
• City University of New York (CUNY) Office of the University Dean for Technology and ComputingcoreStrategic or Co-development PartnerNY AI Exchange is a partnership between R/AI and CUNY Office of the University Dean for Technology and Computing. The Exchange brings together education, research, policy, industry, the arts, and the broader public into one shared conversation about AI's future, anchored in New York City while connected to national and global developments.
• P2PU (Peer 2 Peer University)coreStrategic or Co-development PartnerNYU R/AI partnered with P2PU, a public education non-profit, to develop We Are AI: Taking Control of Technology — a public education course on AI designed to be run as learning circles (facilitated study groups) for people who want to learn about AI together.
• Queens Public LibrarycoreStrategic or Co-development PartnerNYU R/AI partnered with Queens Public Library to deliver the We Are AI public education course and expand AI literacy to community members through learning circles at library locations.
• NYU Tandon Ability ProjectcoreStrategic or Co-development PartnerNYU R/AI partnered with NYU Tandon Ability Project to improve accessibility of AI education across abilities and levels of expertise, resulting in the All Aboard! primer on making AI education accessible.

Scale indicators7 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• UC Berkeley Center for Long-Term Cybersecurity (CLTC): Berkeley research center examining cybersecurity and technology's intersection with society. Comparable as an academic research center producing policy-relevant AI and technology research with interdisciplinary scope.
• UC Berkeley Center for Human-Compatible AI (CHAI): Berkeley research center focused on ensuring AI systems are provably beneficial to humans. Comparable as an academic research center producing peer-reviewed work on AI safety and alignment.
• AI Now Institute: NYU-based research institute examining the social implications of AI, with a focus on AI policy, accountability, and governance. The most direct peer given shared NYU affiliation and overlapping research and policy focus on responsible AI and public-interest outcomes.
• MIT Schwarzman College of Computing: MIT's dedicated college for computing and AI with explicit focus on ethical and societal implications of AI. Comparable in mission to integrate technical AI research with social responsibility and policy engagement.
• Stanford Institute for Human-Centered Artificial Intelligence (HAI): Stanford's interdisciplinary AI research institute focused on AI that augments human capabilities. Highly comparable as a leading academic center producing research, policy engagement, and educational programs in responsible AI.
• Partnership on AI: Multi-stakeholder nonprofit bringing together academia, industry, and civil society to study and shape AI practices. Direct peer in convening function, policy research, and cross-sector AI governance work.
• Future of Life Institute: Nonprofit focused on steering transformative technologies, especially AI, toward benefit and away from risk. Comparable in advocacy, research, and policy engagement on responsible AI trajectories.
• Carnegie Mellon Block Center for Technology and Society: CMU's interdisciplinary center on technology, society, and AI ethics with research and educational programs. Comparable in scope and academic research-center model.

Emerging players

• Credo AI: Commercial responsible AI governance platform providing AI risk management, model cards, and regulatory readiness tooling. Emerging commercial peer offering productized functionality that overlaps with the Center's open-source tooling in model documentation and audit automation.
• Holistic AI: Commercial AI governance, risk, and compliance platform serving enterprise customers with audit, bias, and regulatory tooling. Emerging commercial peer whose product scope (AI Act readiness, fairness audits) directly overlaps with the Center's research areas.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/airesponsibly
• YouTubeyoutube.com/channel/UCAk6L3JxPmFe7-9Z3qSmk8Q
• LinkedInlinkedin.com/company/ai-responsibly

Revenue estimate

Valuation estimate

Number of profiles

Profiles12 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Center for Responsible AI at NYU