UC Berkeley — Adversarial Robustness Research (Aditi Raghunathan)

$88K

Funder

Coefficient Giving wiki

Recipient

University of California, Berkeley

Program

AI Safety Grantmaking

Date

Aug 2021

Source

coefficientgiving.org↗

Notes

[Navigating Transformative AI] Open Philanthropy recommended a grant of $87,829 to UC Berkeley to support postdoctoral research by Aditi Raghunathan on adversarial robustness as a means to improve AI safety. This falls within our focus area of potential risks from advanced artificial intelligence. The grant amount was updated in July 2023.

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Grant	Recipient	Amount	Date
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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

Other Grants to University of California, Berkeley

Grant	Recipient	Amount	Date
14-week salary for Aris Richardson, EA Berkeley	University of California, Berkeley	$8.6K	Jul 2022
UC Berkeley’s EA group & new AI Safety group 22-23 funding for food, marketing, & lead student organizer salary	University of California, Berkeley	$39K	Oct 2022
14-week salary for Aris Richardson, EA Berkeley	University of California, Berkeley	$8.6K	Jul 2022
UC Berkeley’s EA group & new AI Safety group 22-23 funding for food, marketing, & lead student organizer salary	University of California, Berkeley	$39K	Oct 2022
Grant to "support a project to develop interactive AI algorithms for alignment that can uncover the causal features in human reward systems, and thereby help AI systems learn underlying human values that generalize to new situations."	University of California, Berkeley	$800K	May 2022
Grant to "support a project to study how large language models integrated with offline reinforcement learning pose a risk of machine deception and persuasion."	University of California, Berkeley	$600K	Jun 2022

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