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AI Safety Support

Field-Building

Researcher wellbeing.

Founded
2019
HQ
North Sydney, NSW, Australia
Team
4
Structure
charity (Australia)
Model
Grants

Theory of Change

AISS aimed to reduce AI existential risk by supporting the people working on it -- not by doing research itself, but by helping early-career, independent, and transitioning researchers become effective. In JJ Hepburn's words: "I think too many people feel held back from doing a project like thing on their own... Just do a project. Drop the constraints."

The causal chain: provide career coaching, health coaching, community (AI Alignment Slack), feedback events, and mentorship matching --> more people enter and persist in AI safety work --> more total research output --> lower AI risk. Separately, AISS's fiscal sponsorship function (later spun out as Ashgro Inc) provided the legal and administrative infrastructure for programs like MATS, Astra Fellowship, and ARENA to receive and deploy grant funding.

These were two distinct theories of change housed under one organizational umbrella. The first (support services) died in July 2023. The second (fiscal sponsorship) thrived and now processes $4.2M/year as Ashgro Inc.

What They Do

AISS support services (shut down July 2023): Career coaching (1-on-1 calls for career changers, independents, students), health coaching (free to AI safety workers via Shay Gestal), the AI Alignment Slack workspace, research feedback events, mentorship matching, resource library, and newsletter. All services were free to recipients. Five published testimonials exist from software engineers, PhD students, and career changers.

AISS Ltd fiscal sponsorship (ongoing): The Australian legal entity (ACNC charity) continues to receive Coefficient Giving grants for programs it hosts. $7.85M total for MATS ($6.6M across 5 grants), Astra Fellowship ($617K), ARENA ($146K), Owain Evans research ($444K), and Epoch ($42K). Most recent CG grant: October 2024, $710K for MATS extension. MATS website still credits "AI Safety Support" for $15K per-fellow stipends.

Ashgro Inc (successor entity, active): US 501(c)(3) founded 2022 by JJ Hepburn. Model A fiscal sponsorship (comprehensive -- project leads become Ashgro employees). 5-10% fee on project revenue. Sponsors at least 10 AI safety projects including Timaeus, Apart Research, Robert Miles/aisafety.info, AI Safety Camp, AFFINE, CORAL, Catalyze Impact, Medronho, and Alignment Ecosystem Development. Revenue grew from $71K (2022) to $4.2M (2024). Three employees, 50 volunteers.

AI Safety Quest (grassroots successor): Volunteer-based org that picked up AISS's community support role. Offers "Navigation Calls" (1-on-1 advising), mentorship matching, and group learning coordination. Runs through AED, fiscally sponsored by Ashgro. Unfunded.

Key People

JJ Hepburn -- Co-founder/ED of AISS, CEO of Ashgro. ANU graduate with background in electrical contracting (HighSpecs) and data services (CanvasU). Entered AI safety via AISC3/AISC4. Takes $0 cash salary from Ashgro ($44,675 "other compensation" in 2024). Founded both entities. The common thread across AISS and Ashgro is JJ's focus on removing barriers for people who want to work on AI safety.

Linda Linsefors -- Co-founder of AISS and initiator of AI Safety Camp. PhD in theoretical physics. Returned to AISC research coordination in 2023 after stepping back from AISS. Authored detailed community resource guides.

Robert Miles -- AISS advisor. AI safety YouTuber (145K subscribers). Now fiscally sponsored by Ashgro ($122K LTFF grant for YouTube/aisafety.info). His involvement bridges AISS's original community-building mission with Ashgro's current infrastructure role.

Team was ~4 people at peak (JJ, Rachel Williams as COO, Frances Lorenz ops, Shay Gestal health coach). Ashgro is similarly small: 3 employees, hiring an operations associate in late 2025.

Money and Incentives

AISS's own funding was thin:

  • Survival and Flourishing Fund: $200,000
  • FTX Future Fund: $200,000 (funder collapsed November 2022)
  • EA Funds: $25,000
  • Total for support services: ~$425,000

Flow-through grants (fiscal sponsorship for other programs):

  • $7,851,528 in Coefficient Giving grants to "AI Safety Support" for MATS, Astra, ARENA, Owain Evans, Epoch
  • Ratio: for every $1 AISS received for its own mission, $18 passed through for other programs

Ashgro Inc financials (990 data):

Year Revenue Assets Expenses Salaries
2022 $71K $61K $15K $12K
2023 $2.1M $1.66M $528K $188K
2024 $4.2M $3.36M ~$2.5M (est) $879K

Revenue is 98.7% contributions (pass-through grants). Fee income is embedded in the 0.6% "program services" line ($25K in 2024) plus potentially a portion of contributions. The 5-10% fiscal sponsorship fee on $4.2M in grants would generate $210K-$420K in operational revenue -- a sustainable model.

Business model: AISS's support services had no revenue model (free services, dependent on grants). Ashgro's fiscal sponsorship has a built-in revenue model (percentage fee on grants processed). The part with a revenue model survived; the part without one died.

The LTFF/donor signaling failure: A potential individual donor was willing to fund AISS for a full year but hesitated because LTFF hadn't decided on AISS's application. The donor assumed LTFF's indecision signaled concerns about AISS. In reality, LTFF was itself funding-constrained. This cascading information failure likely contributed to AISS's death.

Incentive structure: Ashgro's incentives are reasonably aligned. It charges fees to provide administrative services, allowing safety projects to focus on safety. JJ takes near-zero salary. The main risk is that as fiscal sponsor, Ashgro's revenue grows when it sponsors more and larger projects, creating incentive to prioritize growth over quality control -- but at current scale (3 employees, $4.2M), this seems distant.

What Others Say

No substantive criticism exists. Despite extensive searching, no one has publicly criticized AISS's approach, effectiveness, or theory of change. The org was too small and too well-liked to attract critics. The strongest implicit criticism is systemic: the AI safety funding ecosystem was not designed to sustain community infrastructure work.

JJ on the shutdown: "A lack of funding is a part of the decision but is not the only factor." In comments: he reached a point where even with full funding he wouldn't want to run AISS through another funding cycle. His experience with EA Funds/LTFF was "a significant part" of the shutdown decision. He didn't want to be an applicant again.

LTFF on community infrastructure: Fund managers reviewing Alignment Ecosystem Development (an Ashgro-sponsored community project) were split: one "strongly supported the grant," while two others "were not convinced that it met the fund's high funding bar." Concerns included "spreading themselves too thin" and that newcomers "might become unimpressed with the field" from community infrastructure work. The grant passed on one enthusiastic vote overriding tepid consensus.

Ashgro clients: "Ashgro has made aisafety.info possible by shielding us from bureaucracy" (Plex). "JJ and the team are very responsive, deeply knowledgeable about nonprofit operations" (Jesse Hoogland, Timaeus).

What's Absent

  • No impact metrics from AISS. No published data on sessions conducted, users served, Slack community size, or outcomes.
  • No financial transparency from AISS Ltd. Australian entity has no US 990 equivalent accessible. Unknown if AISS collected fiscal sponsorship fees on $7.85M flow-through.
  • No public interviews or podcasts with JJ Hepburn. The founder's views are known only from three short forum posts.
  • No information on what happened to the AI Alignment Slack after the shutdown.
  • No conflict-of-interest or governance policies published by either entity, despite Ashgro processing $4.2M and having a board member (Gaidashenko) who also works at a sponsored project (FAR.AI).

Recommended Reading

  1. JJ Hepburn, "Shutting down AI Safety Support" (EA Forum, July 2023) -- The most candid source. Short, direct, and the comment thread (accessible via search) reveals the LTFF donor-signaling failure and burnout dynamics. https://forum.effectivealtruism.org/posts/Bjr6FXvnKqb37uMPP/shutting-down-ai-safety-support

  2. "An Overview of the AI Safety Funding Situation" (LessWrong, updated Jan 2025) -- Best counterargument by implication. Shows why community infrastructure orgs are systematically underfunded: the entire funding landscape is built around research output, not community support. https://www.lesswrong.com/posts/WGpFFJo2uFe5ssgEb/an-overview-of-the-ai-safety-funding-situation

  3. JJ Hepburn, "Getting started independently in AI Safety" (EA Forum, July 2021) -- The closest thing to AISS's philosophical foundation. "Just do a project. Drop the constraints." https://forum.effectivealtruism.org/posts/naJ9cJfHMTJ9CACvD/getting-started-independently-in-ai-safety

  4. Ashgro FAQs -- Shows the living successor. How fiscal sponsorship actually works, the Model A structure, fee schedule. https://www.ashgro.org/faqs

Show Claude’s analysis
An opinionated read. Read the brief first to form your own view.

Stated Theory of Change

AISS had two stated theories of change, though it didn't clearly distinguish them:

1. People support: Provide career coaching, health coaching, community infrastructure (Slack, events, newsletter), and mentorship matching to early-career, independent, and transitioning AI safety researchers. By removing barriers to entry and reducing isolation, more people successfully enter and persist in the field, increasing total research capacity.

2. Institutional infrastructure: Serve as fiscal sponsor for AI safety programs that lack their own legal entity, enabling them to receive grants and hire staff. By providing administrative infrastructure, programs can focus on their mission rather than on nonprofit compliance.

The first theory of change is about individuals. The second is about institutions. JJ Hepburn articulated the first more clearly -- his forum posts are about lowering barriers for individual researchers, not about fiscal sponsorship mechanics. But the second is what attracted serious funding and continues today.

Revealed Theory of Change

AISS's actions reveal a pattern: the organization was excellent at building infrastructure for other people's work but could not build institutional support for its own. The $7.85M flowing through AISS for MATS, Astra, etc. demonstrates that JJ and team were trusted stewards of significant funds. The $425K received for AISS's own mission demonstrates that funders did not value what AISS itself was doing -- or at least did not value it enough to sustain it.

The revealed theory of change of the successor entity (Ashgro) is cleaner: be the best possible administrative infrastructure for AI safety projects. Ashgro's $4.2M revenue and positive client testimonials suggest this is working. The theory of change for the support services was never validated because it was never adequately funded or measured.

What actually happened is that JJ pivoted from a theory of change he cared about (supporting individual researchers) to one the market rewarded (fiscal sponsorship). Ashgro is JJ's answer to the question "how do I contribute to AI safety in a way that is both useful and sustainable?" -- and the answer turned out to be "operations, not coaching."

Key Assumptions

For the support services (defunct):

  1. Individual career coaching meaningfully increases the probability someone enters/persists in AI safety. Evidence: 5 testimonials, all positive. Counter-evidence: no quantitative data. This assumption is plausible but untested. Career coaching in other domains has mixed evidence on long-term outcomes.

  2. The people AISS served would not have found their way without help. Evidence: testimonials from people with non-traditional backgrounds who felt excluded. Counter-evidence: other pathways exist (AISC, MATS, 80K Hours). AISS may have been serving people who would have found other paths, or it may have been the only path for some. Unknowable without data.

  3. Community infrastructure (Slack, events) increases research productivity of independent researchers. Evidence: one participant quote saying "I'm tired of reading all the time. I'm also hungry for discussions." Counter-evidence: none, but also no measurement of productivity gains. Plausible based on research on isolated workers in other fields.

For the fiscal sponsorship (active):

  1. Without fiscal sponsors, promising AI safety projects would fail to start or would waste significant time on legal/administrative setup. Evidence: strong. Ashgro client testimonials confirm this. The AISC page states "Ashgro handles our financial admin." Fiscal sponsorship is a well-established model with clear benefits.

  2. Ashgro specifically is better at this than alternatives (BERI, Effective Ventures, Rethink Priorities). Evidence: moderate. Ashgro's focus on AI safety and responsive service are cited by clients. But the evidence is self-selected -- we don't hear from projects that chose other sponsors or didn't need one.

Strengths

Ashgro is a genuine competitive advantage for AI safety. A well-run fiscal sponsor that specializes in AI safety and charges 5-10% is valuable infrastructure. The client testimonials, the project diversity (Timaeus, Apart, Robert Miles, AISC, AFFINE, CORAL), and the growth trajectory all suggest real product-market fit. JJ's near-zero salary signals mission alignment.

AISS identified a real gap. The existence of AI Safety Quest (its volunteer successor) and the continued demand for career navigation services confirms that the need AISS addressed was genuine. The gap between "interested in AI safety" and "working in AI safety" is real, and institutional programs like MATS only serve a fraction of the interested population.

Low overhead, high trust. JJ's approach -- unpaid work, minimal staff, functional focus -- generates trust. Ashgro's growth from $71K to $4.2M in two years, with projects actively seeking it out, suggests word-of-mouth reputation building.

JJ's philosophical approach was sound. "Just do a project. Drop the constraints." This anti-gatekeeping stance is the right corrective to an ecosystem that can feel exclusionary to non-traditional entrants. The coaching testimonials specifically cite this as valuable.

Weaknesses and Risks

AISS failed to measure its own impact, and this likely contributed to its death. The absence of any quantitative data on coaching sessions, users served, or outcomes meant AISS could not make a compelling case to funders. In a funding ecosystem that rewards legible metrics, "we had some good conversations" is not enough. This is a cautionary tale for any community infrastructure org.

Ashgro has key-person risk. JJ Hepburn is the CEO, founder, and primary relationship holder. The organization is hiring its first operations associate. If JJ left, it is unclear whether Ashgro would maintain its client relationships and reputation. The $0 salary also creates a sustainability question -- what happens when JJ needs to earn a living?

Governance gaps are growing. Ashgro processes $4.2M with no published conflict-of-interest policies, no recusal procedures, and a board member (Gaidashenko) who works at a sponsored project (FAR.AI). At current scale this is manageable; at 2x scale it becomes a real risk.

The support services theory of change was never validated. We don't know if AISS's coaching moved anyone into AI safety who wouldn't have gotten there otherwise. Five testimonials are better than zero but far from evidence of impact at scale. The theory of change died without being either confirmed or refuted.

Ashgro's revenue depends on a small number of large funders. CG/Open Phil grants to MATS alone account for the majority of Ashgro's revenue (as flow-through). If MATS moved to a different fiscal sponsor or set up its own entity, Ashgro's revenue would crater. Concentration risk is high.

Cross-References

MATS: AISS's largest fiscal sponsorship client. MATS is now an independent 501(c)(3) (EIN: 99-0648563) as of the MATS website, yet CG grants still go to "AI Safety Support" for MATS as recently as October 2024. The relationship between MATS, AISS Ltd, and Ashgro is unclear and likely transitional.

AI Safety Camp (AISC): AISS's sibling organization -- both were co-founded by Linda Linsefors, both use Ashgro for fiscal administration. AISC is $200K in SFF 2025. The organizations share DNA but serve different populations (AISC: project teams; AISS: individuals).

BERI / Effective Ventures: Other fiscal sponsors in the EA/AI safety space. Ashgro's niche is AI-safety-specific focus and lower overhead.

80,000 Hours: Provides career advice to a much larger audience but is less personalized. AISS served people who 80K's content didn't reach or wasn't specific enough for.

AI Safety Quest: Direct successor to AISS's support services. Volunteer-based, unfunded, lower quality but nonzero. Evidence that the need persists.

What Would Change This Assessment

  • Impact data from AISS. If someone surfaced records showing AISS coached 500+ people and 50 entered AI safety roles, the "support services" theory of change would look much stronger, and the shutdown would look like a bigger loss.
  • Ashgro losing a major client. If MATS fully transitioned away from Ashgro, the fiscal sponsorship model's sustainability would be tested.
  • JJ Hepburn leaving Ashgro. Would reveal whether the org is JJ-dependent or has institutional resilience.
  • An ACNC filing showing AISS Ltd's actual finances. If AISS was earning 5-10% fees on $7.85M flow-through ($390K-$785K), the "$425K in own funding" narrative would need revision -- AISS may have been less underfunded than it appeared.
  • A well-argued critique of fiscal sponsorship as a model. If someone demonstrated that fiscal sponsors create dependency and prevent projects from building institutional capacity, Ashgro's theory of change would need re-evaluation.

Self-Critique

What sources should I have checked but didn't?

  • ACNC annual reporting for AISS Ltd (fetch failed due to timeout)
  • The full EA Forum comment thread on the shutdown post (behind bot detection -- I relied on search snippets)
  • JJ Hepburn's LinkedIn profile (inaccessible)
  • Ashgro's actual 990 forms (only ProPublica extracts available)

Where is this analysis potentially biased?

  • I may be overly sympathetic to AISS/JJ because the evidence is almost entirely self-reported or from supporters. No critics exist to balance the narrative.
  • I may be overstating the systemic funding critique. Perhaps AISS was genuinely low-impact and funders were right not to prioritize it. The absence of impact data cuts both ways.

What would a thoughtful person who disagrees say? "AISS was a small, unmeasured community project that ran for a few years and shut down when funding dried up. This is normal nonprofit lifecycle, not a systemic failure. The fiscal sponsorship role was always more valuable and appropriately attracted more funding. JJ recognized this and pivoted successfully to Ashgro. The 'tragedy of underfunding' narrative is sentimental -- funders make hard choices and they chose to fund MATS over AISS's coaching calls because MATS has 446 alumni, 170 papers, and an h-index of 44."

What's my single weakest claim? That the LTFF donor-signaling failure "likely killed AISS." This is based on search snippets of comment-thread discussions, not direct reading of the comments. The causal chain (LTFF indecision -> donor holds back -> AISS runs out of money) is plausible but I'm relying on indirect evidence.

What information would most change my view? AISS's actual financial statements. If AISS was earning fiscal sponsorship fees on the $7.85M flow-through, the narrative of "underfunded org dies while processing millions" would need significant revision. AISS might have had adequate funding but chose to spend it on fiscal sponsorship operations rather than its own support services -- a very different story.

Connected to (14)

Good Ancestors Projectboard overlap · Luke FreemanGood Ancestors Projectboard overlap · Greg Sadler
Alignment Ecosystem Developmentcollaborator
Apart Researchcollaborator
Survival and Flourishing Fundcollaborator
Astra Fellowshipcollaborator
FAR.AIboard overlap · Anastasiia Gaidashenko
Long-Term Future Fundcollaborator
AI Safety Questcollaborator
ARENAcollaborator
Epoch AIcollaborator · Jaime Sevilla
MATScollaborator
AI Safety Campspun off from · Linda Linsefors
Timaeuscollaborator
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