Aaron Harper
Issyroo Farms

Abdelghani Achahoud
Innovation for Change - Middle East & North Africa

Akshay Jain
Hindalco Industries Ltd.
"I am working within the organisation to create AI which integrates with machines and man from a manufacturing stand points . Having Open source definitions in Manufacturing is of utmost important from the point of worker safety and protections as workers within our org takes decisions based on how AI functions. Open source AI help my team develope and explain model behaviour to end workers and this in turn , based on worker feedbacks our models improve. I want to sponsor and be a part of this initiative so that I can passionately advocate openess to AI algorithms and model behaviour to make manufacturing safer for workers."

Alan Clark
SUSE
"SUSE applauds the progress made by the Open Source Initiative and its Open Source AI Definition. The efforts are culminating in a very thorough definition, which is important for the quickly evolving AI landscape and the role of open source within it. We commend the process OSI is utilizing to arrive at the definition and the adherence to the open source methodologies. Clarity and consensus drive collaboration, and we believe this definition will drive open source AI forward."

Alberto Guillén
University of Granada

Alessandro de Oliveira Faria
OpenSUSE

Alex Gastone Mkwizu
SEEDE Group ( XR )
"I am a firm believer in building sustainable open-source projects that solve problems and are tailored to the local context, giving them the power to scale and create a global impact. I champion the concept of innovating locally and globally at the same time."

Alexander Wiechert
Elastic2ls

Alexandros Melidis
Open Technologies Alliance - GFOSS

Alyssa Wright
Bloomberg
"Bloomberg supports the Open Source Initiative’s initial efforts to begin establishing a clearer definition for open source AI. This timely initiative is crucial as we and others navigate the rapid evolution of artificial intelligence models and increasing pace of adoption of this technology across enterprises. As an open source-first company, we hope that a common framework and definition for open source AI systems, data, code, models and weights will help foster more collaboration, faster innovation, and increased transparency within the AI community. We look forward to working with the OSI and others in the community to shape the future of open source AI for the benefit of all."

Andrea Zanda
ROMBO AI
"This is a sensitive matter for me and my organization, as we are working on publishing an AI model for legal purposes as open source."

Andres Guadamuz
University of Sussex

Anivar A Aravind
Foodhub

Anselmo A. Peretto
OPERSOL
"I’m proud to support the Open Source AI Definition because it puts transparency and collaboration at the heart of AI development. Open-source principles are key to making sure AI is accessible to everyone and evolves in a way that benefits society as a whole."

Anuradha Weeraman
Verdentra
"We applaud and fully endorse the OSI initiative for bringing definition to Open Source AI and for leading the Open Source cause at this pivotal time. As the field evolves rapidly, the network effects of collaboration within the broader technology community as a result of this framework will surely fuel further innovation and advancement."

Ariel Jolo
Nerdearla / Sysarmy

Armando J. Manzueta
Ministry of Public Administration of the Dominican Republic

Arnaud BRAN

Arun Gupta
Open Ecosystem, Intel
"Facilitating an Open ecosystem is an important part of our approach at Intel. An open approach to AI can foster greater collaboration across the community, drive innovation and enhance transparency. We applaud OSI’s efforts to expand their definition to include AI models and datasets. OSI’s creation of a first revision of the definition, can help industry continue to evolve and iterate."

Arvind Narayanan
Princeton University

Astor Nummelin Carlberg
OpenForum Europe

Audrey Tang
Taiwan Government
"Open Source embodies the spirit of collaborative diversity that drives our digital age forward. By fostering open models and transparent practices, we can accelerate understanding of AI risks, enhance public scrutiny, and lower barriers for responsible innovation. I fully endorse the Open Source AI Definition as a vital step towards this pluralistic future."

Aviya Skowron
Eleuther AI
"Transparency is at the core of EleutherAI’s non-profit mission. The Open Source AI Definition is a necessary step towards promoting the benefits of open source principles in the field of AI. We believe that this definition supports the needs of independent machine learning researchers and promotes greater transparency among the largest AI developers."

Ayah Bdeir
Mozilla

Bart de Witte
HIPPO AI Foundation

Bart Smeets
Dataroots
"We proudly support the Open Source AI License as it sets much-needed standards for transparency and accountability in open-source AI. For too long, the term 'open source' in AI has been used loosely, often without the clarity and transparency that traditional open-source software provides. Even in disagreements, the license provides a common framework and starting point to support further discussions. By requiring transparency in source code, data, model weights, and training processes, this license ensures that open-source AI is truly open, reproducible, and community-driven."

Bastien Guerry
code.gouv.fr
"As a long-time Free Software advocate, I believe that the Open Source AI Definition provides a solid foundation for promoting AI systems that are easier to use, share, and improve."

Brian HAN
Open Source Consulting Inc.
"우리에겐 모두가 널리 사용할수 있는 오픈소스AI가 필요합니다."

Camilo Pinto
Diego Portales University

Carnegie Mellon University
Carnegie Mellon University

Cédric Ulmer
France Labs Datafari

Chalermchai Rodsangiam

chen qiyi
Shenzhen University

Cong Le
California State University of Fullerton

Curtis Hayes
Civic Actions

Cyril Blaecke
Dilolabs

Dan Sidsaya
MEST Africa

Daniel Davis
TrustGraph

Daniel Kwan
Kismet XYZ Inc
"We're a group of scientists and entrepreneurs from www.kismetxyzlabs.com who endorse this v1.0 Open Source AI definition."

Daniil Krizhanovskyi

"I strongly believe in the principles of transparency, collaboration, and accessibility outlined in the Open Source AI Definition. Supporting open standards is crucial for fostering innovation and ensuring equitable access to AI technologies."

David Lippert
George Washington University OSPO

David Manset
International Telecommunications Union (ITU)

Davide Sbetti
Würth Phoenix
"I strongly believe in open source and open science. As an AI enthusiast, I have no doubt about the benefits such an approach could have to this field."

Deepak Gupta
GrackerAI
"Open source AI initiative is vital for the future because they promote transparency, collaboration, and innovation in AI."

Diego Kuonen
Statoo Consulting & University of Geneva, Switzerland

Diomidis Spinellis
AUEB & TU Delft
"Clear and widely-adopted reference definitions of open-source AI, models, and weights will further the goals and benefits of the open source software, open content, and open data movements."

Donald Watkins
DGW Enterprises LLC

Dr. Ignatius Ezeani
Lancaster University

Eduardo Maçan

"This is a much-needed definition. The industry has been loosely using the term "open source" to refer to machine learning models that are somewhat available to the general public, even though the benefits associated with the "open source software" concept are often absent in these models; this can potentially lead to confusion, misuse, and legal trouble. Having a precise baseline to classify models according to the same principles as open source software ensures users and businesses can understand how to choose, use, and benefit from the technology without having to worry about the fine print."

Emily Chen
Kaiyuanshe
"Kaiyuanshe, as the first member of OSI in China, we support RC1. My personal as individual, I also endorse of OSAID RC1."

Esben Kran
Apart Research

Fabrizio Degni
ENIA - Ente Nazionale per l'Intelligenza Artificiale

Fang Liu
Georgia Tech University

Fernando Eugenio Correa
MercadoLibre

Flavia Marzano
Fondazione Ampioraggio
"I wholeheartedly endorse "The Open Source AI Definition – 1.0" as a crucial milestone for the future of artificial intelligence. This definition provides a clear and comprehensive framework for understanding what constitutes open-source AI, ensuring transparency, accessibility, and ethical standards in the rapidly evolving field. By emphasizing collaboration and inclusivity, it encourages innovation while maintaining a commitment to fairness, privacy, and accountability. As AI becomes more integrated into our daily lives, this definition serves as a critical reference point for developers, researchers, and policymakers, ensuring that AI advancements are made responsibly and equitably. In my opinion "The Open Source AI Definition – 1.0" is a forward-thinking initiative that will help shape the future of AI in a way that benefits society as a whole."

Francisco L. Benítez
FIDESOL (ICT Technological Centre)

Francisco L. Benítez
FIDESOL (ICT Technological Centre)

Francisco Serradilla
Universidad Politécnica de Madrid
"In a hyper-regulated world, I believe that the open dissemination of research and models will multiply the benefits of Artificial Intelligence by allowing it to be applied to problems that its initial developers never imagined."

Francisco Serradilla
Universidad Politécnica de Madrid
"In a hyper-regulated world, I believe that the open dissemination of research and models will multiply the benefits of Artificial Intelligence by allowing it to be applied to problems that its initial developers never imagined."

Frank Karlitschek
NextCloud

Garvit Kothari
Neurobridge Tech
"At Neurobridge, we endorse Open Source AI because it fosters transparency, innovation, and collaboration. By giving everyone the freedom to study, modify, and share AI systems, Open Source AI unlocks the full potential of this technology for society. It allows developers, deployers, and end-users alike to build upon and improve AI tools openly, ensuring they are accessible, adaptable, and accountable. We believe this approach paves the way for more inclusive, responsible, and impactful AI that benefits all."

George C. G. Barbosa
Fundação Oswaldo Cruz

Georgia Tech OSPO
Georgia Tech OSPO

Gerardo Lisboa
ESOP - Associação de Empresas de Software Open Source Portuguesas
"The Open Source and Free Software ecosystem is a dynamic community of diverse organizations and individuals constantly innovating and improving, and, as such, has wholeheartedly embraced the artificial intelligence (AI) movement with all its potential for good, imprecisions and ethical misgivings, just as it has done with all previous technological advances. Given the indefiniteness and abuse surrounding Ai, it was therefore necessary to reach a clear and concise agreement on the meaning of Open Source in the context of Ai. The community is very grateful to the Open Source Initiative for starting the discussion and helping create a consensus around this definition. Given the indefiniteness and abuse surrounding Ai, it was therefore necessary to reach a clear and concise agreement on the meaning of Open Source in the context of AI. The community is very grateful to the Open Source Initiative for starting the discussion and helping create a consensus around this definition."

Gilbert Brown
E4 Logics

Henry Wang
Open Network
"Open is committed to supporting the Open Source AI Definition (OSAID), which we believe aligns with both our values and those of the broader Open Source Community. OSAID will guide the development of AI systems that are verifiable, transparent, and reproducible—benefiting all, as Open Source Code has done since its inception. A huge thank you to everyone involved in this effort!"

Iraklis Varlamis
Harokopio University of Athens

Ismael Carrasco

"The Open AI concept must fulfill the Open source standard definition, to avoid the missleading use of the "Open" term, used by some very well known companies."

Jake Salomon
Circuit
"At Circuit, we believe that open-source AI is fundamental to building a responsible and resilient AI ecosystem. Open access to AI research and technology promotes transparency, collaboration, and innovation by allowing organizations and individuals to audit, understand, and contribute to developments in AI. This openness aligns with our mission to empower users with all of the world's knowledge, activated to help drive wise decision making. We see open-source AI as essential to fostering diverse perspectives and empowering community-driven progress, ensuring that AI serves the needs of many rather than the few."

Jake Salomon
Circuit
"At Circuit, we believe that open-source AI is fundamental to building a responsible and resilient AI ecosystem. Open access to AI research and technology promotes transparency, collaboration, and innovation by allowing organizations and individuals to audit, understand, and contribute to developments in AI. This openness aligns with our mission to empower users with all of the world's knowledge, activated to help drive wise decision making. We see open-source AI as essential to fostering diverse perspectives and empowering community-driven progress, ensuring that AI serves the needs of many rather than the few."

Jean-Pierre Lorre
LINAGORA

Jeongsook Park
ETRI

Jeremias Ferreira de Brito
CHOCOJEET
"I have always valued creativity and innovation as pillars to transform ideas into concrete results. At the same time, as a technology enthusiast and admirer of the potential of artificial intelligence (AI), I strongly believe that openness and transparency are essential to ensure AI benefits society as a whole. That is why I declare my support for the Open Source AI Definition. I believe that open-source initiatives foster collaboration and provide equitable access to tools and technological knowledge. By opening the doors for more people to contribute and understand how AI works, we ensure its development is inclusive, ethical, and responsive to humanity’s real needs. I applaud the efforts of the Open Source Initiative for promoting this definition and reinforcing the values of transparency and accessibility that transform the tech world. It is an honor to support this cause, which I believe is essential for shaping a better future with AI."

Joël Gombin
opsci.ai

John Boggero
ITIP

Jonathan Schneider
Moderne, Inc.
"The Open Source AI Definition is a pivotal step towards fostering a more transparent, collaborative, and equitable AI landscape. This definition will play a critical role in shaping the future of AI by ensuring that open source remains a cornerstone of its development. We are proud to support this initiative and its commitment to transparency, accessibility, and community-driven progress."

Jörg Wittkewitz
FernUniversität in Hagen

Joseph Wolff
eRacks Systems
"It is essential to provide an unambiguous definition by an independent expert 3rd party such as OSI, to provide a yardstick to measure against."

Joshina Ramakrishnan
Weavez Technologies

Juan Jose Lopez Murphy
Globant

Juan M Casanueva
SocialTIC

Justin Torre
Helicone AI

Katja Scherer
t3n

Kenner French
VastSolutionsGroup.com
"This definition VERY SPECIFICALLY outlines how AI should be governed with respect to open source and I, without a doubt, subscribe to the text outlined above. Further, for small entrepreneurs, and moreover, humanity to succeed, it is my belief open source software (and hardware tech - both AI and quantum) must prevail."

Kenza Bouzoubaa
Nabla
"At Nabla, we believe in the power of AI to transform healthcare by empowering clinicians and improving patient outcomes. The Open Source AI Definition (OSAID) is a crucial step toward ensuring transparency, flexibility, and trust in AI systems. By setting up clear requirements for system scope and allowed usages, OSI is enabling companies like ours to build responsible, adaptable and better understood tools – ultimately leading to safer, more effective healthcare solutions."

Kevin Harerimana
Carnegie Mellon University Africa

Kristen Ratan
Strategies for Open Science

Kristina Podnar
NativeTrust Consulting, LLC
"Since the early 1980s, open source has benefited society, business, and the consumer. By applying the same principles of open access, transparency, and collaboration to AI, we foster a future where innovation knows no limits and the benefits can be shared by all."

Laura Herasme

Leandro Colombo Viña
Mercado Libre

Liam Esteban Prince
Sopra Steria

Lilly Chen
FSH Tech

Lily Polanco
New.blicio.us
"The Open Source AI Definition is a crucial step towards ensuring AI systems are transparent, collaborative, and accountable to the public. By mandating the core freedoms of open source - to use, study, modify, and share AI systems - this definition lays the foundation for a future where AI is developed in the open, with the input and oversight of the broader community."

Liv Marte
Digital Public Goods Alliance
"We welcome OSI's stewardship of the complex process of defining open source AI. The Digital Public Goods Alliance secretariat will build on this foundational work as we update the DPG Standard as it relates to AI as a category of DPGs"

Luana Helsinger
Butwhai

Luca Cerina
Eindhoven University of Technology

Luigi Bellio
Akera Software Engineering

Maisa Pires Amaral
Lerian
"As a professional in Law and Compliance with a deep interest in AI, I fully support the Open Source AI Definition. I see tremendous potential in making AI accessible through open models, code, and data, fostering innovation, fair competition, and accountability. Aligning AI development with openness and transparency ensures responsible adoption and builds tr"

Marco Manca
SCImPULSE Foundation

Marco Manca
SCImPULSE Foundation

Mark Asberg
Ontario Council of University Libraries
"The Ontario Council of University Libraries (OCUL) is pleased to signal its appreciation and support for the Open Source Initiative's (OSI) Open Source AI Definition. The result of meaningful consultation and collaboration, the definition is informed by the vision of ensuring that the benefits of AI development and usage extend to the greatest possible diversity and breadth of impacted communities. The definition offers guidance to those creating and sustaining AI systems about what it takes to demonstrate that the assertion of openness is accompanied by identifiable attributes, like the granting of freedom to use the system, study how it works, and modify and share it. Because the definition offers baseline requirements of an open AI system, the definition is equally valuable to those evaluating AI systems for potential adoption, as OCUL is in fact doing. Libraries', and OCUL's, commitment to open systems more generally is undisputed and has resulted in growing, sustaining, and responsibly stewarding access to scholarly publication (scholaris.ca) and research data (borealisdata.ca), as just two examples. That sector-wide focus on advancing the value of openness applies even more urgently in the AI age as information seekers increasingly depend on the outputs of AI systems that represent themselves as valuable to the research enterprise. To be sure, such assertions on the part of AI systems and their proponents require critical consideration. The Open Source AI definition clearly articulates the value of promoting open source models, not the least of which is ensuring the broadest possible engagement and transparency in the development of tools that have profound and widespread impacts on information seeking and discovery and knowledge creation and sharing."

Mark Collier
Open Infrastructure Foundation
"This effort you and OSI team have been driving is really important and I’m a believer that time is becoming of the essence. Inevitably it will need to evolve but putting a stamp on it soon is important. We have to define what open source means in the context of AI models in order to preserve the permissionless innovation aspect that created so much value with open source software licenses. The definition is both pragmatic and challenging, and is an excellent first step in a fast-moving area."

Martin Dougiamas
Moodle

Masao Dahlgren
Center for Strategic and International Studies

McKenzie Lloyd-Smith
MindPort Inc.
"We applaud OSI's thoughtful approach to defining Open Source AI, which preserves the core freedoms of open source while addressing the unique complexities of AI systems. At MindPort, we recognize the importance of a clear, shared and agreed upon definition that promotes transparency, autonomy, and improvement. This is essential for advancing the field through meaningful research, innovation and collaboration. We believe this definition will serve as a crucial foundation for fostering an ecosystem where AI can be developed, scrutinized, and improved upon by the broader community, ultimately leading to more robust and trustworthy AI systems."

Merlijn Sebrechts
Ghent University - imec

Mike Milinkovich
Eclipse Foundation

Moise Kameni
Hydro-Québec

Monis Khan
Emly Labs
"We should also work towards definition of a 'What is a transparent model' as opposed to 'black box models' . Explainability should be defined formally, it has long term consequences towards Ai safety and accountability. We should be able to classify any model out their with certain label of transparency."

Myuhng Joo Kim
Seoul Women's University

Nadia Jiang
KAIYUANSHE

Nathan Clark
Fidelity Investments

Nguyen Hong Quang
Vietnam Free and Open Source Software Association

Nikita Koselev
Mastercard

Nina Shamsi
Northeastern University

Odyssee Ndayisaba
Continuity Group, Ltd

Oscar Mullin
MercadoLibre
"Open Source generative AI models are one of the keys to the advancement of the field. By enabling a community of developers and researchers to collaborate and evolve these models in a responsible way, we can greatly benefit a wide range of applications"

Paola Masuzzo
onData
"onData supports and endorses the OSI’s Open Source AI definition, which is timely and extremely important for a number of reasons. The addresses key challenges related to open source AI, such as guidelines for sharing code, data, and ensuring accessibility to all. The definition aligns with onData's vision of promoting true open knowledge and fostering communities where data and AI are responsibly and openly shared to ensure their benefits are accessible to all."

Percy Liang
Director of Center for Research on Foundation Models, Stanford University
"Coming up with the proper open-source definition is challenging given restrictions on data, but I'm glad to see that the OSI v1.0 definition requires at least that the complete code for data processing (the primary driver of model quality) be open-source. The devil is in the details, so I'm sure we'll have more to say once we have concrete examples of people trying to apply this Definition to their models."

Peter Šantavý
Ecclesia.Sk, Christ-Net.Sk

Phillip Rhodes
Fogbeam Labs
"Fogbeam Labs endorse the Open Source AI Definition as the current best and most useful definition of "Open Source AI". And to the extent that it may be less than perfect, it will have the opportunity to evolve as needed in the years to come."

Pierre-Yves Gibello
OW2
"So many people in AI cheat with fake "open source" claims: we really need such a definition! "

Prahil Amalraj
Prathyusha engineering college

Pratul Gupta
KogentAI

Pratul Gupta
KogentAI

Qianqian Shi
Tsinghua University

Rahmat Akintola
Women In Machine Learning and Data Science - Accra

Rasim Sen
OASIS SOFTWARE TECHNOLOGY LTD
"It was a great experience working with the Open AI team and contributing to this important initiative. We look forward to seeing the release version and witnessing the impact it will have on the AI community."

Rémy Wehrung
IA_AUT_ECO
"The emergence of AI in our lives is just as important as the emergence of UNIX BSD, GNU/Linux and the Internet. In this sense, companies and individual creators must be able to create and protect their work openly, this definition complements the European AI Act, for the benefit of all."

Rhonnell Hari

Robert Freund

Rogerio Coutinho
Podium

Ryan TAO
Grandall Law Firm

Sachin Dabir
Ashnik

Salim Sheikh
RWS Group
"Fully supportive of an open source AI Definition which empowers individuals and organisations to bring to life the ideas of F.A.T.E. - fairness, accountability, transparency and ethics - that enables a community based approach that expounds the ideas of ‘AI for All’ for all parts of society."

Sam Klein
Public AI Network

Sayash Kapoor
Princeton University

Sayeed Choudhury
Carnegie Mellon University

Scott Edmunds
GigaScience Press
"Running journals for Open Science we publish research data, software and increasingly AI-based research combining both. Insisting on open licensing for everything we publish, what were grey areas are clearer now thanks to this extremely useful definition of Open Source AI."

Sebastian Raible
APELL – The European Open Source Software Business Association
"The Open Source ecosystem understands that part of being popular is being responsible. Trust is earned, and in particular AI technology needs to prove its trustworthiness. For decades, Open Source has been providing answers to the questions of vendor independence, transparency, reproducibility, and the ability to study and learn from technology. The Open Source Initiative's Open Source AI Definition project has taken on the responsibility to show leadership while embracing the open exchange that distinguishes the Open Source community from closed, proprietary approaches. APELL – The European Open Source Software Business Association supports these efforts and endorses the Open Source AI Definition."

Seo-Young Isabelle Hwang
Samsung
"During the OSAID process, I had the chance to collaborate with members from various continents and time zones. It was an interesting experience as sometimes I found myself waking up at 2 am in my pajamas for a Zoom call! 😉 Through both synchronous discussions within our working group (WG) meetings and asynchronous conversations on the web forum, I gained valuable insights into diverse collaboration methods."

Seth Dobrin
Qantm AI
"This is a required step as many organizations claim to put forward open source tools when they are only partially open source at best and disingenuously open source in some cases for mere marketing when you look at what has been provided and the license terms."

Shuji Sado
Open Source Group Japan
"Open Source Group Japan commends OSI for its leadership in navigating the complex process of defining Open Source AI, and we fully support the Open Source AI Definition (OSAID) as a key standard for open and transparent AI systems. The field of AI is evolving rapidly, and the need for a clear and consistent definition of Open Source AI has never been more critical. OSI's OSAID marks a crucial milestone toward a future where collaboration and openness are the norms in AI development. We anticipate that this will drive innovation, transparency, and the ethical development of AI systems."

Skitzscythe
Texas Tech University

Stefane Fermigier
CNLL / Abilian SAS
"The CNLL (https://cnll.fr/) has decided, after an unanimous decision of its board today, to endorse the OSAID. / Abilian, an open source company in France, with products and services that leverage ML and AI, including LLMs, endorses the OSAID."

Stefano Zacchiroli
Software Heritage
"Software Heritage is committed to preserving and making accessible the invaluable human knowledge embedded in software source code. We believe that AI systems trained on this vast repository should be freely available to all, with as little restrictions as possible. Users of OSAID-compliant AI systems trained on Software Heritage data will enjoy full transparency on how they were built. By endorsing OSAID, we aim to promote transparency and reproducibility within the AI industry. We’ve been involved and vocal in shaping OSAID 1.0 and look forward to collaborating on further iterations of it, as the practice of developing AI systems from open data sets evolves."

Stella Biderman
EleutherAI Institute
"Transparency is at the core of EleutherAI’s non-profit mission. The Open Source AI Definition is a necessary step towards promoting the benefits of open source principles in the field of AI. We believe that this definition supports the needs of independent machine learning researchers and promotes greater transparency among the largest AI developers."

Ted Liu
KAIYUANSHE

Tetsuya Kitahata

Thom Vaughan
CommonCrawl
"The Common Crawl Foundation fully supports the Open Source AI Definition as a crucial step in setting clear standards for open and transparent AI development. This definition will help ensure AI develops responsibly, staying open and accessible to everyone."

Tlamelo Makati
Women In Machine Learning and Data Science - Gaborone

Uday Kalyan Nuthalapati
University of North Texas

Vasilis Promponas
University of Cyprus
"Following the Open Source Artificial Intelligence definition is key for maximising the projected benefits of AI and a major prerequisite for democratizing AI."

Victor Lu
(unaffiliated consultant)

Victor Westmann
2work Canada

Vid Kersic
University of Maribor

Vishy Iyer
Quest1
"When model observability, traceability and reproducibility become priorities in attempts to force out transparency and a “near-deterministic” aspect of LLM orchestration, data versioning and lineage will certainly gain prominence in the MLOps workflow. In this context, addressing code and parameters may be relatively simpler. The problem of addressing data information will certainly be the most interesting."

Walter Heck
Helixiora
"Having spent a lot of time supporting and promoting open source software over the last 20 years I am very happy that there is now an official definition of what Open Source means in an AI context. I fully endorse this definition and hope it will soon lead to a better climate where companies can't just claim they have Open Source AI, they actually have to comply with this standard."

Willy Salazar

"Our organization fully supports the Open Source AI Definition as a critical framework for enhancing transparency and ethical development across the AI landscape. We recognize the Open Source Initiative’s important work in establishing guidelines that promote collaborative innovation and set a high standard for responsible AI. By endorsing this definition, we reaffirm our commitment to open access and advancing AI practices that benefit the entire community."

Xihua Duan
PEOPLE PROFILERS

Yann Lechelle
Probabl.AI
"I endorse! We need common vocabulary to define what is open is what isn't. This is a solid framework that doesn't give a blank check to those who are lightly claiming to be providing open source AI (even if they desperately wish to be qualified as such), and reversely, the framework is open to initiatives that introduce gradients of open source on the various components that make an AI system, and recognizes efforts in opening-up all or some of the components. After all, "AI" is a derivative of software, complete with data, code and artefacts. There is no reason a derivative system should be classified under the foundational definition of "open source" and at the same time, AI systems are becoming so powerful at capturing intelligence away from humans that we need to qualify their degree of openness. Hats off to all involved for producing such an important piece of work."

YaoLIANG
KAIYUANSHE

Yilma Markos Lerbo
WCU

Zhengzhong (Hector) Liu
LLM360
"LLM360 finds that OSI’s Open Source AI definition is a meaningful, reasonable, and holistic standard which will have positive reverberations throughout the community. The definition clarifies the unique challenges surrounding open source AI including the expectations for disseminating code, data, and accessibility requirements. This definition propels the open source ecosystem and aligns with LLM360’s mission for community owned AI. Our team is thrilled and excited to fully support OSI’s efforts on advancing the Open Source AI definition."