Ben Hoskin donations made

This is an online portal with information on donations that were announced publicly (or have been shared with permission) that were of interest to Vipul Naik. The git repository with the code for this portal, as well as all the underlying data, is available on GitHub. All payment amounts are in current United States dollars (USD). The repository of donations is being seeded with an initial collation by Issa Rice as well as continued contributions from him (see his commits and the contract work page listing all financially compensated contributions to the site) but all responsibility for errors and inaccuracies belongs to Vipul Naik. Current data is preliminary and has not been completely vetted and normalized; if sharing a link to this site or any page on this site, please include the caveat that the data is preliminary (if you want to share without including caveats, please check with Vipul Naik). We expect to have completed the first round of development by the end of December 2018. See the about page for more details.

Table of contents

Basic donor information

ItemValue
Country United States
Affiliated organizations (current or former; restricted to potential donees or others relevant to donation decisions)Machine Intelligence Research Institute Giving What We Can
Facebook username ben.944
LinkedIn username ben-hoskin-024b9021
LessWrong usernameLarks
Effective Altruism Forum usernameLarks
Data entry method on Donations List WebsiteManual (no scripts used)

Donation amounts by cause area and year

If you hover over a cell for a given cause area and year, you will get a tooltip with the number of donees and the number of donations.

Note: Cause area classification used here may not match that used by donor for all cases.

Cause area Number of donations Number of donees Total 2018 2017 2016
AI safety (filter this donor) 5 1 94,209.00 31,481.00 30,000.00 32,728.00
Total 5 1 94,209.00 31,481.00 30,000.00 32,728.00

Graph of spending by cause area and year (incremental, not cumulative)

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Graph of spending by cause area and year (cumulative)

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Donation amounts by subcause area and year

If you hover over a cell for a given subcause area and year, you will get a tooltip with the number of donees and the number of donations.

For the meaning of “classified” and “unclassified”, see the page clarifying this.

Subcause area Number of donations Number of donees Total 2018 2017 2016
AI safety 5 1 94,209.00 31,481.00 30,000.00 32,728.00
Classified total 5 1 94,209.00 31,481.00 30,000.00 32,728.00
Unclassified total 0 0 0.00 0.00 0.00 0.00
Total 5 1 94,209.00 31,481.00 30,000.00 32,728.00

Graph of spending by subcause area and year (incremental, not cumulative)

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Graph of spending by subcause area and year (cumulative)

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Donation amounts by donee and year

Donee Cause area Metadata Total 2018 2017 2016
Machine Intelligence Research Institute (filter this donor) AI safety FB Tw WP Site CN GS TW 94,209.00 31,481.00 30,000.00 32,728.00
Total -- -- 94,209.00 31,481.00 30,000.00 32,728.00

Graph of spending by donee and year (incremental, not cumulative)

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Graph of spending by donee and year (cumulative)

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Donation amounts by influencer and year

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Donation amounts by disclosures and year

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Donation amounts by country and year

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Full list of documents in reverse chronological order (2 documents)

Title (URL linked)Publication dateAuthorPublisherAffected donorsAffected doneesDocument scopeCause areaNotes
2018 AI Safety Literature Review and Charity Comparison2017-12-20Ben Hoskin Effective Altruism ForumBen Hoskin Machine Intelligence Research Institute Future of Humanity Institute Global Catastrophic Risk Institute Centre for the Study of Existential Risk AI Impacts Center for Human-Compatible AI Center for Applied Rationality Future of Life Institute 80,000 Hours Review of current state of cause areaAI safetyThe lengthy blog post covers all the published work of prominent organizations focused on AI risk. It is an annual refresh of http://effective-altruism.com/ea/14w/2017_ai_risk_literature_review_and_charity/ -- a similar post published a year before it. The conclusion: "Significant donations to the Machine Intelligence Research Institute and the Global Catastrophic Risks Institute. A much smaller one to AI Impacts."
2017 AI Risk Literature Review and Charity Comparison2016-12-13Ben Hoskin Effective Altruism ForumBen Hoskin Machine Intelligence Research Institute Future of Humanity Institute OpenAI Center for Human-Compatible AI Future of Life Institute Centre for the Study of Existential Risk Leverhulme Centre for the Future of Intelligence Global Catastrophic Risk Institute Global Priorities Project AI Impacts Xrisks Institute X-Risks Net Center for Applied Rationality 80,000 Hours Raising for Effective Giving Review of current state of cause areaAI safetyThe lengthy blog post covers all the published work of prominent organizations focused on AI risk. References http://www.openphilanthropy.org/focus/global-catastrophic-risks/potential-risks-advanced-artificial-intelligence/machine-intelligence-research-institute-general-support#sources1007 for the MIRI part of it but notes the absence of information on the many other orgs. The conclusion: "The conclusion: "Significant donations to the Machine Intelligence Research Institute and the Global Catastrophic Risks Institute. A much smaller one to AI Impacts."

Full list of donations in reverse chronological order (5 donations)

DoneeAmount (current USD)Donation dateCause areaURLInfluencerNotes
Machine Intelligence Research Institute31,481.002018AI safetyhttps://web.archive.org/web/20180117010054/https://intelligence.org/topcontributors/-- See post http://effective-altruism.com/ea/1iu/2018_ai_safety_literature_review_and_charity/ assessing research. The conclusion: "Significant donations to the Machine Intelligence Research Institute and the Global Catastrophic Risks Institute. A much smaller one to AI Impacts.".
Machine Intelligence Research Institute5,000.002017AI safetyhttps://web.archive.org/web/20170627074344/https://intelligence.org/topcontributors/-- See post http://effective-altruism.com/ea/14w/2017_ai_risk_literature_review_and_charity/ assessing research. The conclusion: "Donate to both the Machine Intelligence Research Institute and the Future of Humanity Institute, but somewhat biased towards the former. I will also make a smaller donation to the Global Catastrophic Risks Institute.".
Machine Intelligence Research Institute5,000.002017AI safetyhttps://web.archive.org/web/20170412043722/https://intelligence.org/topcontributors/-- See post http://effective-altruism.com/ea/14w/2017_ai_risk_literature_review_and_charity/ assessing research. The conclusion: "Donate to both the Machine Intelligence Research Institute and the Future of Humanity Institute, but somewhat biased towards the former. I will also make a smaller donation to the Global Catastrophic Risks Institute.".
Machine Intelligence Research Institute20,000.002017AI safetyhttps://web.archive.org/web/20170204024838/https://intelligence.org/topdonors/-- See post http://effective-altruism.com/ea/14w/2017_ai_risk_literature_review_and_charity/ assessing research. The conclusion: "Donate to both the Machine Intelligence Research Institute and the Future of Humanity Institute, but somewhat biased towards the former. I will also make a smaller donation to the Global Catastrophic Risks Institute.".
Machine Intelligence Research Institute32,728.002016AI safetyhttps://web.archive.org/web/20160115172820/https://intelligence.org/donortools/topdonors.php--

Similarity to other donors

The following table uses the Jaccard index and cosine similarity to compare the similarity of donors. We are showing the top 30 donors by the Jaccard index because we show up to 30 donors and show only donors with at least one donee in common.

Donor Number of distinct donees Number of donees in common (intersection) Union size Jaccard similarity Cosine similarity Weighted cosine similarity
Adam Weissman 1 1 1 1 1 1
Alan Chang 1 1 1 1 1 1
Aleksei Riikonen 1 1 1 1 1 1
Alex Edelman 1 1 1 1 1 1
Alex Schell 1 1 1 1 1 1
Alexei Andreev 1 1 1 1 1 1
Andrew Hay 1 1 1 1 1 1
Austin Peña 1 1 1 1 1 1
Benjamin Goldhaber 1 1 1 1 1 1
Brian Cartmell 1 1 1 1 1 1
Bruno Parga 1 1 1 1 1 1
Bryan Dana 1 1 1 1 1 1
Buck Shlegeris 1 1 1 1 1 1
Chris Haley 1 1 1 1 1 1
Christian Calderon 1 1 1 1 1 1
Cliff & Stephanie Hyra 1 1 1 1 1 1
Daniel Nelson 1 1 1 1 1 1
Daniel Ziegler 1 1 1 1 1 1
Donald King 1 1 1 1 1 1
Edwin Evans 1 1 1 1 1 1
Emma Borhanian 1 1 1 1 1 1
Eric Lin 1 1 1 1 1 1
Eric Rogstad 1 1 1 1 1 1
Ethan Dickinson 1 1 1 1 1 1
Frank Adamek 1 1 1 1 1 1
Gary Basin 1 1 1 1 1 1
Gil Elbaz 1 1 1 1 1 1
Giles Edkins 1 1 1 1 1 1
Guy Srinivasan 1 1 1 1 1 1
Henrik Jonsson 1 1 1 1 1 1