Thank you for applying to be a part of the Open Innovation AI Research Community.
Applications are reviewed on a rolling basis. By applying, you are opting in to start receiving Research Community newsletters. Please note that applying does not automatically guarantee invitations to workshops and events.
Eligible Applicants: This community is open to professors at accredited universities. Community members should have relevant experience with AI, backgrounds in diverse research disciplines, technical capabilities to pursue research, and the ability to contribute to virtual forums and in-person workshops. Each university may have multiple participants. We encourage applications from institutions that serve underrepresented students, and institutions that are located in the Global South.
Background
The Open Innovation AI Research Community will create an innovation flywheel by fostering transparency and collaboration. University partners will explore topics related to privacy, safety, and security of large language models, give input into the refinement of foundational models and set an agenda for future collaborative research.
The group will become a community of practice championing large open-access foundation models where partners can collaborate and engage with each other, share learnings, and raise questions on how to build responsible and safe foundation models. They will also accelerate training of the next generation of researchers. We anticipate that the community will establish the conditions to build better quality future models by growing and diversifying the community of practitioners. We believe a community with partners from diverse geographies and institutions will create a set of positive dynamics to foster more robust and representative models.
Anticipated Activities and Outputs: The research community’s governance principles will ultimately be defined by its members. We expect this to be a member-led group with Meta AI serving as a facilitator. We expect several Meta AI researchers will participate in the effort. Illustrative activities and outputs may include:
Transparent governance model
Collaborations between Meta & researchers to provide feedback on open-source models
Newsletter for information sharing, highlighting research from the community
Published white papers/Conference submissions
As part of these activities, Meta intends to sponsor a series of workshops where participants will come together to align on the most critical open research questions and develop guidelines for responsible open access model development and release.
Open Innovation AI Research Community
Thank you for applying to be a part of the Open Innovation AI Research Community.
Applications are reviewed on a rolling basis. By applying, you are opting in to start receiving Research Community newsletters. Please note that applying does not automatically guarantee invitations to workshops and events.
Eligible Applicants: This community is open to professors at accredited universities. Community members should have relevant experience with AI, backgrounds in diverse research disciplines, technical capabilities to pursue research, and the ability to contribute to virtual forums and in-person workshops. Each university may have multiple participants. We encourage applications from institutions that serve underrepresented students, and institutions that are located in the Global South.
Background
The Open Innovation AI Research Community will create an innovation flywheel by fostering transparency and collaboration. University partners will explore topics related to privacy, safety, and security of large language models, give input into the refinement of foundational models and set an agenda for future collaborative research.
The group will become a community of practice championing large open-access foundation models where partners can collaborate and engage with each other, share learnings, and raise questions on how to build responsible and safe foundation models. They will also accelerate training of the next generation of researchers. We anticipate that the community will establish the conditions to build better quality future models by growing and diversifying the community of practitioners. We believe a community with partners from diverse geographies and institutions will create a set of positive dynamics to foster more robust and representative models.
Anticipated Activities and Outputs: The research community’s governance principles will ultimately be defined by its members. We expect this to be a member-led group with Meta AI serving as a facilitator. We expect several Meta AI researchers will participate in the effort. Illustrative activities and outputs may include:
Transparent governance model
Collaborations between Meta & researchers to provide feedback on open-source models
Newsletter for information sharing, highlighting research from the community
Published white papers/Conference submissions
As part of these activities, Meta intends to sponsor a series of workshops where participants will come together to align on the most critical open research questions and develop guidelines for responsible open access model development and release.