Thank you so much Lucretia for sharing your experience; as a woman who has worked in Tech for a decade or so, this has put into words a lot of what I peripherally experienced but didn’t quite have a way of expressing to folks outside of the space. (It’s definitely made it hard to explain sometimes to friends who work in other industries, or even well-meaning male friends and colleagues, how these intangible dynamics directly affect how much you feel you need to “put up” with just to be able to do what you love).

I particularly admire the way you’ve analyzed your experience and created this as a resource for helping others navigate the space, recognize patterns of problematic behaviour, and try to bring the community together to generate ideas on how to address it, rather than discouraging women from entering AI/EA as a whole. I’ve bookmarked this post, and am deeply curious to see where your proposed ideas go!

Thank you for sharing! I currently work for Apple and organize charity-based art events, and have been trying to find the best way to maximize my matching and impact (both for volunteered time and financial donations). As such, it’s both interesting and helpful to see how they stack up/get suggestions for how to make the most of this!

I wonder how many of these organizations use Benevity as their matching platform, and if it isn’t possible to get more intermediate groups like GiveWell (that aren’t exactly charities but are working to fund them) listed so that donors don’t have to granularity pick efforts to fund/match themselves?

Hello! New to the forum, though I’ve been lurking the blogs/podcasts/articles around the EA community for a while!

Wondering if there are any other folks out here coming from the design/technology industry space, like I am? Would love to hear from anyone about their journey and finding their niche within the community! :)

This is incredibly interesting and enlightening; thank you!

Particularly love to see the way that these different organizations are looking at each others’ work and ideas and fit-testing them for their own approach and priorities. I’m especially interested in the question of how to measure good better by taking the effectiveness of the implementation into account, since this is where I can foresee a lot of great in-theory approaches diminishing in effectiveness when hit with real-world obstacles like convoluted systems/miscommunication or shifting context, etc.

As such, I even wonder how granular this approach could get; could additional work looking at systems, obstacles, or contexts objectively reveal ways that some interventions with potentially high impact traditionally considered too high-cost might suddenly become more accessible/effective?

Thank you so much for the link! Lots of great stuff here.

Trying to help mitigate economic barriers for attending events and conferences is excellent, as are the acknowledgements of the risk of English-speaking dominance within the community’s leadership; maintaining a genuine curiosity and collaborative mentality to ask communities and underrepresented groups how best to support their participation is also great!

I wonder how EA might avoid the trap that I’ve witnessed a lot in Tech and Industry where the intentions are there/they state they’re committed to these principles, but the actual day-to-day reality doesn’t match up with well-intentioned guidelines (no matter how many “We’re really dedicated to DEI!” Zoom meetings are held).

Is it to apply similar criteria for objective measurement of success in these categories to organizations and bodies within the community as is done for charities and initiatives? Or set transparent and time-specific goals for things like translating and proliferating seminal resources into other languages, diversifying key leadership positions, etc.? (Ex: CEA states they’re current employee make-up is 46% female and 18% self-identified minorities, though it’s not clear how this breaks down within leadership positions, etc.) Is it as simple as discouraging the over-use of technical jargon and Academic language within communications so as to widen the scope of understanding/broaden the audience? (Or something completely different/none of these things?)

Thank you for asking this! Some fascinating replies!

A related question:

Considering other existential risks like engineered pandemics, etc., is there an ethical case for continuing to escalate the advancement of AI development despite the possibly-pressing risk of unaligned AGI for addressing/mitigating other risks, such as developing better vaccines, increasing the rate of progress in climate technology research, etc.?