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 (see his commits) 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.
|Affiliated organizations (current or former; restricted to potential donees or others relevant to donation decisions)||Machine Intelligence Research Institute Giving What We Can|
|Effective Altruism Forum username||Larks|
|Data entry method on Donations List Website||Manual (no scripts used)|
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 risk (filter this donor)||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)
Graph of spending by cause area and year (cumulative)
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|
Graph of spending by subcause area and year (incremental, not cumulative)
Graph of spending by subcause area and year (cumulative)
|Machine Intelligence Research Institute (filter this donor)||AI risk||FB Tw WP Site CN GS TW||94,209.00||31,481.00||30,000.00||32,728.00|
Graph of spending by donee and year (incremental, not cumulative)
Graph of spending by donee and year (cumulative)
Sorry, we couldn't find any influencer information.
Sorry, we couldn't find any disclosures information.
Sorry, we couldn't find any country information.
|Title (URL linked)||Publication date||Author||Publisher||Affected donors||Affected donees||Document scope||Cause area||Notes|
|2018 AI Safety Literature Review and Charity Comparison||2017-12-20||Ben Hoskin||Effective Altruism Forum||Ben 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 80000 Hours||Review of current state of cause area||AI risk||The 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|
|2017 AI Risk Literature Review and Charity Comparison||2016-12-13||Ben Hoskin||Effective Altruism Forum||Ben 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 80000 Hours Raising for Effective Giving||Review of current state of cause area||AI risk||The 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|
|Donee||Amount (current USD)||Donation date||Cause area||URL||Influencer||Notes|
|Machine Intelligence Research Institute||31,481.00||AI risk||https://web.archive.org/web/20180117010054/https://intelligence.org/topcontributors/||--|
|Machine Intelligence Research Institute||5,000.00||AI risk||https://web.archive.org/web/20170627074344/https://intelligence.org/topcontributors/||--|
|Machine Intelligence Research Institute||5,000.00||AI risk||https://web.archive.org/web/20170412043722/https://intelligence.org/topcontributors/||--|
|Machine Intelligence Research Institute||20,000.00||AI risk||https://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.|
|Machine Intelligence Research Institute||32,728.00||AI risk||https://web.archive.org/web/20160115172820/https://intelligence.org/donortools/topdonors.php||--|
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|
|Berkeley Existential Risk Initiative||1||1||1||1||1||1|
|Cliff & Stephanie Hyra||1||1||1||1||1||1|