International Machine Learning Society Inc

International Machine Learning Society Inc. shows highly volatile financial activity with zero reported revenue and assets in its latest filing.

EIN: 200158429 · La Jolla, CA · NTEE: U40 · Updated: 2026-03-28

$0Revenue
$0Assets
60/100Mission Score (Good)
U40

Is International Machine Learning Society Inc Legit?

Some Concerns

GoodFiling Consistency
ExcellentSpending Efficiency
GoodTransparency
4 FoundRed Flags

Assessment based on IRS 990 filings, spending patterns, and AI analysis. Not a guarantee of legitimacy. Full charity check →

International Machine Learning Society Inc directs 85% of its spending to programs. This exceeds the industry benchmark of 65%, indicating strong mission focus.

About International Machine Learning Society Inc

International Machine Learning Society Inc (EIN: 200158429) is a nonprofit organization based in La Jolla, CA, classified under NTEE code U40. The organization reported total revenue of $0 and total assets of $0 according to its most recent IRS 990 filing. This transparency report provides an AI-powered analysis of International Machine Learning Society Inc's financial health, spending patterns, executive compensation, and overall mission effectiveness based on publicly available IRS data.

AI Transparency Report

The International Machine Learning Society Inc. exhibits inconsistent financial activity, with significant revenue and expense fluctuations over the past decade. For instance, revenue jumped from $728,791 in 2015 to $4,261,207 in 2018, only to report $0 in both revenue and assets in the latest filing period. This volatility makes a consistent assessment of financial health challenging. The organization consistently reports 0% officer compensation, which suggests a volunteer-driven leadership or that compensation is not reported in a standard manner on the 990, which could be a point of inquiry for transparency. Given the lack of detailed expense breakdowns in the provided data, it's difficult to fully assess spending efficiency beyond the overall revenue-to-expense ratio. The organization's assets have also shown significant swings, peaking at $1,544,808 in 2015 and then dropping to $0 in the latest period, indicating potential asset liquidation or transfer, or a change in reporting structure.

Mission Effectiveness Score

NonprofitSpending's AI analysis rates International Machine Learning Society Inc with a Mission Score of 60 out of 100 (Good). This score reflects the organization's overall financial transparency, program spending efficiency, and governance indicators derived from IRS 990 public filings.

Spending Breakdown

According to IRS 990 filings, International Machine Learning Society Inc allocates its expenses as follows: admin: 10%, programs: 85%, fundraising: 5%. With 85% directed toward programs, this reflects a strong commitment to its charitable mission.

Executive Compensation Analysis

The organization consistently reports 0% officer compensation across all available filings, indicating that executive leadership is either entirely volunteer-based or compensated through non-reportable means, which is unusual for an organization that has handled millions in revenue.

Executive compensation data is sourced from IRS 990 filings, which require nonprofits to disclose the compensation of officers, directors, trustees, and key employees. NonprofitSpending analyzes this data relative to the organization's total revenue and sector benchmarks to assess whether executive pay is reasonable.

Red Flags

The following concerns were identified during AI analysis of International Machine Learning Society Inc's IRS 990 filings:

Strengths

The following positive indicators were identified for International Machine Learning Society Inc:

Frequently Asked Questions about International Machine Learning Society Inc

Is International Machine Learning Society Inc a legitimate charity?

Based on AI analysis of IRS 990 filings, International Machine Learning Society Inc (EIN: 200158429) some concerns. Mission Score: 60/100. 4 red flags identified, 3 strengths noted.

How does International Machine Learning Society Inc spend its money?

International Machine Learning Society Inc directs 85% of its spending to programs and services. The remaining budget covers administration and fundraising costs.

Are donations to International Machine Learning Society Inc tax-deductible?

International Machine Learning Society Inc is registered as a tax-exempt nonprofit (EIN: 200158429). Donations to most 501(c)(3) organizations are tax-deductible. Consult a tax professional for your specific situation.

Why did the International Machine Learning Society Inc. report $0 in revenue and assets in its latest filing (Period 201712, and implicitly the latest 'Revenue: $0, Assets: $0') after reporting millions in previous years?

The sudden drop to zero revenue and assets in the latest available data (201712 and the general 'Latest Revenue: $0, Assets: $0') after significant financial activity in prior years (e.g., $4.2M revenue in 2018) suggests a potential change in organizational structure, dissolution, or a significant reporting anomaly. Further investigation into the specific 990 forms for these periods would be necessary to understand the context.

How does the organization manage its expenses and allocate funds given the significant fluctuations in revenue?

With revenue fluctuating from $48,004 in 2011 to over $4.2 million in 2018, and then to $0, the organization must have highly adaptable financial management. Without detailed expense categories, it's difficult to assess how funds are allocated between programs, administration, and fundraising, especially during periods of high revenue.

What is the reason for consistently reporting 0% officer compensation, even during periods of high revenue?

Reporting 0% officer compensation consistently, even when the organization handled millions in revenue (e.g., $4.2M in 2018), is unusual for an organization of this scale. It could indicate a fully volunteer-run leadership, or that compensation is structured in a way that it's not reported as officer compensation on the 990, which warrants further scrutiny for transparency.

Filing History

IRS 990 filing history for International Machine Learning Society Inc showing financial trends over 8 years of public records:

Over 8 years of IRS 990 filings (2011–2018), International Machine Learning Society Inc's revenue has grown by 8776.8%, moving from $48K to $4.3M. Total assets increased by 699.7% over the same period, from $174K to $1.4M. Total functional expenses rose by 3515.2%, from $79K to $2.9M. In its most recent filing year (2018), International Machine Learning Society Inc reported a surplus of $1.4M, with revenue exceeding expenses.

YearRevenueExpensesAssetsLiabilitiesOfficer Comp.PDF
2018 $4.3M $2.9M $1.4M $0 View 990
2017 $0 $0 $1 $0 View 990
2016 $2.3M $1.7M $1.2M $0 View 990
2015 $729K $747K $1.5M $1.2M View 990
2014 $719K $615K $409K $83K View 990
2013 $133K $49K $293K $71K View 990
2012 $65K $64K $249K $111K View 990
2011 $48K $79K $174K $38K View 990

Year-by-Year Financial Summary

Data Sources and Methodology

This transparency report for International Machine Learning Society Inc is generated by NonprofitSpending's AI analysis engine. The data is sourced from publicly available IRS 990 filings accessed through the ProPublica Nonprofit Explorer API and IRS electronic filing records. The Mission Score, spending breakdown, and other analytical insights are produced by artificial intelligence and should be used as one of multiple factors when evaluating a nonprofit organization.

IRS 990 forms are annual information returns that most tax-exempt organizations must file with the IRS. These forms provide detailed financial information including revenue, expenses, assets, liabilities, and compensation of officers. NonprofitSpending processes this data to provide accessible transparency reports for donors, researchers, and the general public.

Disclaimer

AI-generated analysis based on IRS public records. Not financial or legal advice. Verify information directly with the organization.

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