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The Ethics and Governance of Artificial Intelligence Fund is a philanthropic grant program from the John S. and James L. Knight Foundation, Omidyar Network, Reid Hoffman, and the Hewlett Foundation that funds organizations advancing the ethical development and governance of artificial intelligence in the public interest.
Launched in January 2017 with $27 million in initial support, the fund focuses on amplifying civil society's voice in shaping AI policy and practice. Initial grant priorities center on three areas: media, criminal justice, and autonomous vehicles, with a goal of breaking down silos between technical research, public policy, law, and social sciences. The fund awarded $7.
6 million in its first round to nine organizations internationally. Eligible applicants are organizations and individuals working on ethical AI development and governance that serve the public interest.
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Ethics and Governance of Artificial Intelligence Fund commits $7. 6M to projects that bolster civil society efforts — MIT Media Lab Find People, Projects, etc. Work for a Member organization and need a Member Portal account? Register here with your official email address.
Register a Member Account Ethics and Governance of Artificial Intelligence Fund commits $7. 6M to projects that bolster civil society efforts Former Director; Former Professor of the Practice in Media Arts and Sciences The Ethics and Governance of Artificial Intelligence Fund today announced $7.
6 million in support to nine organizations that aim to bolster the voice of civil society in shaping the development of artificial intelligence in the public interest. The funding seeks to lend momentum to existing initiatives and spark new efforts internationally. “Artificial intelligence will affect every aspect of modern life,” said Alberto Ibargüen, president for the John S.
and James L. Knight Foundation. “The issues of ethics and governance of new and pervasive technology are complex and profound, and the work must not only involve technologists.
This initial round of support, focused on the three areas of media, criminal justice and autonomous vehicles, is just a beginning. ” The fund was launched in January 2017 with initial support of $27 million from Knight Foundation, Omidyar Network, LinkedIn founder Reid Hoffman, the William and Flora Hewlett Foundation and Jim Pallotta. The Miami Foundation is serving as fiscal sponsor for the fund.
“This grant fuels continued collaboration between Berkman Klein and the Media Lab as we join others in breaking down the silos between technical research, public policy and law, and the social sciences in the machine learning space,” said Joi Ito, director of the MIT Media Lab.
“This will include research on society’s expectations for AI, efforts to engage the public on the governance of AI, and our work to bring industry into dialogue with the academy with efforts that will ultimately deploy working projects and systems. ” The fund is also announcing $1. 7 million in support to seven organizations which will complement the skills and expertise of the anchor institutions.
“MIT and Harvard are only one part of a much larger, ongoing global conversation around these technologies,” said Urs Gasser, executive director of the Berkman Klein Center. “These initial grants represent a commitment towards supporting the broader conversation around AI, inviting diverse perspectives and voices while focused on concrete challenges and solutions.
” Supporting a Global Conversation ● Digital Asia Hub (Hong Kong): Digital Asia Hub will investigate and shape the response to important, emerging questions regarding the safe and ethical use of artificial intelligence to promote social good in Asia and contribute to building the fund’s presence in the region.
Efforts will include workshops and case studies that will explore the cultural, economic and political forces uniquely influencing the development of the technology in Asia. ● ITS Rio (Rio de Janeiro, Brazil): ITS Rio will translate international debates on artificial intelligence and launch a series of projects addressing how artificial intelligence is being developed in Brazil and in Latin America more generally.
On behalf of the Global Network of Internet and Society Research Center, ITS Rio and the Berkman Klein Center will also co-host a symposium on artificial intelligence and inclusion in Rio de Janeiro, bringing together almost 80 centers and an international set of participants to address diversity in technologies driven by artificial intelligence, and the opportunities and challenges posed by it around the world.
Tackling Concrete Challenges ● AI Now (New York): AI Now will undertake interdisciplinary, empirical research examining the integration of artificial intelligence into existing critical infrastructures, looking specifically at bias, data collection, and healthcare.
● Leverhulme Centre for the Future of Intelligence (Cambridge, United Kingdom): Leverhulme Centre for the Future of Intelligence will be focused on bringing together technical and legal perspectives to address interpretability, a topic made urgent by the European Union’s General Data Protection Regulation coming into force next year.
● Access Now (Brussels, Belgium): Access Now will contribute to the rollout of the General Data Protection Regulation by working closely with data protection authorities to develop practical guidelines that protect user rights, and educate public and private authorities about rights relating to explainability.
The organization will also conduct case studies on data protection issues relating to algorithms and artificial intelligence in France and Hungary. Bolstering Interdisciplinary Work ● FAT ML (Global): FAT ML will host a researcher conference focused on developing concrete, technical approaches to securing values of fairness, accountability, and transparency in machine learning.
● Data & Society (New York): Data & Society will conduct a series of ethnographically-informed studies of intelligent systems in which human labor plays an integral part, and will explore how and why the constitutive human elements of artificial intelligence are often obscured or rendered invisible.
The research will produce empirical work examining these dynamics in order to facilitate the creation of effective regulation and ethical design considerations across domains.
Read on Talking New Media Embracing a Future with Autonomous and Intelligent Systems Announcing the Global Council on Extended Intelligence Why artificial intelligence is far too human “Unlike humans, these machine algorithms are much harder to interrogate because you don’t actually know what they know,” says Joi Ito.
AI for the public interest fund to explore bias in criminal justice and autonomous vehicles The Ethics and Governance of Artificial Intelligence Fund, created in part by the Omidyar Network, Knight Foundation, and LinkedIn founder … Ethics and Governance AI Fund funnels $7.
6M to Harvard, MIT and independent research efforts A $27 million fund aimed at applying artificial intelligence to the public interest has announced the first targets for its beneficence: $7…
Based on current listing details, eligibility includes: Organizations and individuals advancing the development of ethical AI in the public interest. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Academic Grant Program is sponsored by NVIDIA. NVIDIA's Academic Grant Program seeks proposals from full-time faculty members at accredited academic institutions using NVIDIA technology to advance work in Simulation and Modeling, Data Science, and Robotics and Edge AI. Proposals for the NVIDIA Graduate Fellowship Program are also invited, focusing on AI, robotics, and autonomous vehicles.
Manufacturing USA Institute – AI for Resilient Manufacturing is sponsored by National Institute of Standards and Technology (NIST). NIST is seeking applications to establish and operate a Manufacturing USA institute focused on leveraging artificial intelligence to strengthen the resilience of U.S. manufacturers, particularly concerning supply chain networks. The institute will conduct applied R&D projects and cultivate a skilled workforce.