Michigan State University — Robust AI Unlearning Techniques

$484K

Funder

Coefficient Giving wiki

Recipient

Michigan State University

Program

AI Safety Grantmaking

Date

May 2025

Source

coefficientgiving.org↗

Notes

[Navigating Transformative AI] Open Philanthropy recommended a grant of $484,000 over two years to Michigan State University to support the development of robust unlearning techniques for AI. This research will be led by Professors Sijia Liu (Michigan State University), Shiyu Chang (UC Santa Barbara), Mingyi Hong (U Minnesota). This grant was funded via a request for proposals for projects related to technical AI safety research. This falls within our focus area of potential risks from advanced artificial intelligence.

Other Grants by Coefficient Giving

2625

Grant	Recipient	Amount	Date
National Association of Community and Restorative Justice — Restorative Justice Conference	National Association Of Community And Restorative Justice	$50K	Nov 2016
GiveDirectly — General Support (December 2017)	GiveDirectly	$2.5M	Dec 2017
gui2de — Zusha! Road Safety Campaign (December 2018)	Georgetown University	$100K	Dec 2018
Nuclear Threat Initiative — Planning Grant for Global Health Security Index	NTI \| bio (Nuclear Threat Initiative - Biological Program)	$477K	Feb 2017
Institute of the Black World — Criminal Justice Reform	Institute Of The Black World	$50K	Mar 2016
Living Goods — General Support (January 2019)	Living Goods	$100K	Jan 2019
IDinsight — General Support	IDinsight	$2M	Jun 2016
Vera Institute of Justice — New Orleans User-Funded Justice System	Vera Institute of Justice	$100K	Jul 2016
Iodine Global Network — General Support (January 2019)	Iodine Global Network	$100K	Jan 2019
Innovations for Poverty Action — Mindset Engagement in Cash Transfers	Innovations for Poverty Action	$350K	May 2016

Showing 10 of 2625 grants

← Back to Coefficient Giving All grants