TL;DR
NOVAH (No Violence At Home) was incubated by Charity Entrepreneurship (now Ambitious Impact) in 2024 to test a promising idea: preventing intimate partner violence through edutainment, in our case a serialised radio drama. Over the past two years we have produced and aired two seasons in Rwanda.
We are currently evaluating our second season through a randomized controlled trial with 2,400 couples in Rwanda in partnership wi...
TL;DR
* The Long-Term Future Fund is closing down, and EA Funds is launching the Transformative AI Fund with a new full-time team.
* The fund's primary focus is technical AI safety and AI governance (including post-AGI governance), as well as supporting fields such as field-building and forecasting. We'll also consider non-GCR implications of transformative AI such as flourishing futures and digital...
The current Long Term Future Fund (LTFF) fund managers and I have decided to step back from our work on the LTFF. Because we believe LTFF donors trusted the fund managers to ensure that the funds would be used in line with the purposes of their donation, we've decided the right move is to close the fund.
While LTFF is closing, note that EA Funds has launched a new fund...
While AI value alignment is considered a serious problem, the algorithms we use every day do not seem to be subject to alignment. That sounds like a serious problem to me. Has no one ever tried to align the YouTube algorithm with our values? What about on other types of platforms?
I believe this sort of thing doesn't get much attention from EAs because there's not really a strong case for it being a global priority in the same way that existential risk from AI is.
You might be interested in Building Human Values into Recommender Systems: An Interdisciplinary Synthesis as well as Jonathan Stray's other work on alignment and beneficence of recommender systems.
Since around 2017, there has been a lot of public interest in how youtube's recommendation algorithms may affect individuals and society negatively. Governments, think tanks, the press/media, and other institutions have pressured youtube to adjust its recommendations. You could think of this as our world's (indirect & corrupted) way of trying to instill humanity's values into youtube's algorithms.