What Algorithmic Justice League does

The Algorithmic Justice League (AJL) is a Cambridge, Massachusetts-based non-profit founded in 2016 by Dr. Joy Buolamwini that combines art, empirical research, and advocacy to document and mitigate the social harms of artificial intelligence. Its primary audiences are affected communities—particularly travelers subjected to biometric surveillance, writers facing displacement by generative AI, and marginalized populations disproportionately harmed by biased algorithmic systems—as well as policymakers, AI researchers, and industry practitioners whom it seeks to mobilize. AJL's mission is articulated around four pillars: raising public awareness about AI impacts, equipping advocates with empirical research, building the voice and choice of impacted communities, and galvanizing researchers, policymakers, and industry toward accountable AI. The organization is fiscally sponsored by Code for Science & Society, a 501(c)(3) nonprofit.

AJL's product portfolio is not a traditional software suite but rather a constellation of media, research, and data-collection assets. Flagship media is the Emmy-nominated documentary 'Coded Bias' (Sundance 2020 premiere, distributed on Netflix), accompanied by the 'Unmasking AI' Action Guide, the 'Coded Bias' Viewing Guide, and the 'Drag Vs. AI' workshop/lesson plan. Core engagement platforms include the Harm Reporting Platform (report.ajl.org) and the TSA Scorecard, both operated under the #FreedomFlyers Campaign, which has collected traveler experiences across 91+ airports and produced the 'Comply To Fly?' report. Research publications include the Gender Shades study, 'Who Audits the Auditors?' (a field scan of 438 individuals and 189 organizations in algorithmic auditing), 'Bug Bounties for Algorithmic Harms,' and the 'Facial Recognition Technologies in the Wild' white paper proposing an FDA-inspired federal regulatory office. Advocacy campaigns include #FreedomFlyers, #MyWorkMyRights (creative rights), and #NoFaceNoCase (private facial recognition gating government services). Notable awards include TIME 100 Most Influential People in AI (2023), NAACP-Archewell Foundation Digital Civil Rights Award ($100,000, 2024), EFF Pioneer Award (2020), Fortune 50 Greatest World Leaders (2019), and Fast Company Most Innovative Companies in AI (2021).

AJL's business model is a non-profit revenue mix: individual donations processed through ActBlue (including a monthly sustainer program), merchandise sales through a Shopify-powered AJL Swag Shop (unit prices $10–$120, made on demand), grant funding from foundations, and award prize money directed to general operations. AJL has no disclosed venture funding, no enterprise customers, no government contracts, and no audited revenue figures. Go-to-market is community-led advocacy and awareness: earned media in NYT, TIME, Forbes, Bloomberg, BBC, PBS, HBO John Oliver, NPR, and TED talks; social media across Twitter, Instagram, Facebook, LinkedIn, and YouTube; policy advocacy and testimony before bodies such as the U.S. Commission on Civil Rights; and strategic partnerships (NAACP, Bocoup for TSA Scorecard technical support, Code for Science & Society as fiscal sponsor). Customer segments are horizontal: the traveling public, policymakers and government officials, researchers and academics, industry practitioners, and writers/creative professionals.

Name

Algorithmic Justice League

Legal name

Algorithmic Justice League

Website

https://ajl.org

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

1–10 employees

Short description

Algorithmic Justice League is a Cambridge, MA non-profit founded in 2016 that combines art, research, and advocacy to document AI harms and push for equitable, accountable AI policy. It serves affected communities, policymakers, researchers, and industry practitioners via documentary media, harm-reporting platforms, and published audit research.

Ownership category

akta.pro rank

Product category

AI Ethics Advocacy

NAICS

Research and Development in the Social Sciences and Humanities (541720), Scientific Research and Development Services (5417)

SIC

Services-Engineering, Accounting, Research, Management (8700)

akta.pro primary industry

Bias, Fairness & Non-Discrimination Testing (HDAAAMAC)

akta.pro secondary industries

Responsible AI, AI Governance & Compliance Services (BPAEAHAJ), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), Documentation & Reporting Automation (Model Cards, Datasheets, Impact Assessments) (HDAAAMAJ), Bias, Fairness & Representativeness Testing for Datasets (HDAAALAK)

Keywords

• Algorithmic bias advocacy
• AI ethics research
• Facial recognition activism
• Responsible AI policy
• AI harm reporting

Headquarters

HQ city

Cambridge

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Marketing or Sales, Technology or R&D, Operations, Others

Revenue model

1. Donations and Grants: AJL accepts donations from individuals and potentially receives grants from foundations and organizations to support its mission. The organization is fiscally sponsored by Code for Science & Society, a 501(c)(3) nonprofit.
2. Merchandise Sales: AJL operates a swag shop selling branded merchandise including apparel, accessories, and promotional items. Products are sold at various price points ranging from $10 to $120. Purchasing merch supports AJL's mission to prevent AI harms.
3. Award Prize Money: AJL receives award prize money from recognitions such as the NAACP-Archewell Foundation Digital Civil Rights Award ($100,000 in 2024), which was used towards AJL general operations.

Pricing tiers

Go-to-market motion1 record

Distribution channels5 records

Marketing channels8 records

Core offering

The Algorithmic Justice League (AJL) is a non-profit advocacy organization that combines art and research to illuminate the social implications and harms of artificial intelligence. Its portfolio includes the Emmy-nominated Coded Bias documentary, research publications on algorithmic bias (e.g., Gender Shades, Who Audits the Auditors, Bug Bounties for Algorithmic Harms), educational resources (Unmasking AI Action Guide, Drag Vs. AI workshop), participatory harm-reporting platforms (report.ajl.org and the TSA Scorecard), advocacy campaigns (#FreedomFlyers, #MyWorkMyRights, #NoFaceNoCase), and a branded merchandise store to support its mission.

Product overview

The Algorithmic Justice League (AJL) is a non-profit organization that combines art, research, and advocacy to illuminate and mitigate the social implications and harms of artificial intelligence. AJL does not offer a software product in the traditional sense; rather, its portfolio comprises a constellation of educational tools, documentary media, participatory data-gathering platforms, and published research reports. The flagship offering is the Coded Bias documentary (premiered Sundance 2020, available on Netflix), which serves as a cultural entry point into AI bias issues. AJL's core engagement products include the Harm Reporting Platform (report.ajl.org) for documenting AI harms and the TSA Scorecard, administered through the #FreedomFlyers Campaign, which collects traveler experiences with facial recognition at airport checkpoints. AJL's educational offerings include the Unmasking AI Action Guide, the Drag Vs. AI Workshop and Lesson Plan, and the Coded Bias Viewing Guide. AJL's research contributions include the landmark Gender Shades study, the Who Audits the Auditors? algorithmic audit ecosystem report, the Bug Bounties for Algorithmic Harms report, the Facial Recognition Technologies in the Wild white paper, and the Comply To Fly? TSA facial recognition report. AJL also runs advocacy campaigns including #FreedomFlyers, #MyWorkMyRights, and #NoFaceNoCase, and operates the AJL Swag Shop to support its mission. All offerings work together to raise public awareness, equip advocates with empirical research, and galvanize policymakers and industry practitioners toward equitable and accountable AI.

Differentiator

Problem solved

Functional benefit

Brands

• Freedom Flyers: Campaign focused on TSA facial recognition technology opt-out rights at airports
• Gender Shades
• Bug Bounties for Algorithmic Harms
• Who Audits the Auditors
• Facial Recognition Technologies in the Wild

Products and services

• Coded Bias Documentary Feature-length documentary directed by Shalini Kantayya that follows AJL founder Dr. Joy Buolamwini's journey exposing racial and gender bias in AI systems, highlighting people impacted by harmful technology and pioneering women sounding the alarm about threats AI poses to civil rights.
• Harm Reporting Platform
• TSA Scorecard
• FreedomFlyers Campaign
• Unmasking AI Action Guide
• Drag Vs. AI Workshop & Lesson Plan
• Coded Bias Viewing Guide
• Who Audits the Auditors? Report
• Bug Bounties for Algorithmic Harms Report Research paper exploring how bug bounty programs from cybersecurity can be adapted to discover, disclose, and redress algorithmic harms, authored by AJL researchers including Joy Buolamwini and published in January 2022.
• Facial Recognition Technologies in the Wild Report
• Comply To Fly? Report
• #MyWorkMyRights Campaign
• #NoFaceNoCase Campaign
• AJL Swag Shop
• Gender Shades Justice Award A $5,000 USD no-strings-attached award presented by AJL to recognize individuals who have experienced AI harm, voiced their experiences, and actively worked to prevent future algorithmic harm. The inaugural award was given to Robert Williams in February 2023.

Quantifiable outcome

• Over 90% of TSA scorecard respondents did not receive notice about facial recognition use; Over 85% reported lack of signage for opt-out options
• +2 more outcomes

Named customers4 records

Segments4 records

Ideal customer profiles4 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Partnerships

Three partnerships are on record, tiered flagship, core and minor.

• NAACPflagshipStrategic or Co-development Partner · 14 March 2024NAACP partnered with Archewell Foundation to award Dr. Joy Buolamwini the 2024 Digital Civil Rights Award with $100,000 to advance work in digital equity and support AJL operations.
• Code for Science & SocietycoreOthersCode for Science & Society is AJL's fiscal sponsor, providing 501(c)(3) nonprofit status and administrative support. This enables AJL to accept tax-deductible donations and operate as a nonprofit organization.
• BocoupminorOthersBocoup supported the development of the TSA Scorecard platform, helping AJL create the technical infrastructure for gathering data on traveler experiences with facial recognition at airports.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• Electronic Frontier Foundation (EFF): Established digital civil liberties non-profit covering surveillance, biometrics, and AI-related harms. Recognized AJL's Gender Shades work with the 2020 EFF Pioneer Award, and shares overlapping policy and advocacy territory around facial recognition, biometric privacy, and government AI deployment.
• Mozilla Foundation: Non-profit foundation funding trustworthy AI research, advocacy, and fellowships. Operates a similar non-profit advocacy-plus-grants model with overlapping AI-ethics funding priorities (e.g., Mozilla Responsible AI grants).
• Partnership on AI: Multi-stakeholder non-profit convening industry, academia, and civil society on responsible AI. Comparable advocacy and research mission but operates with significantly larger corporate funding and broader industry-influence positioning than AJL's independent-advocacy stance.
• Stanford HAI (Human-Centered AI Institute): University-affiliated institute producing policy-relevant research on AI ethics, governance, and societal impact. Comparable research-to-policy operating model, with far larger institutional backing and broader scope than AJL.
• ACLU: Major civil liberties organization with active work opposing facial recognition, surveillance, and algorithmic discrimination. Substantially larger and broader than AJL, but directly comparable in civil-rights advocacy on AI harms and frequent overlap on government biometrics litigation.

Direct peers

• AI Now Institute: New York University-affiliated research institute producing influential reports on algorithmic accountability, bias, and AI governance. Closely comparable mission to AJL with a more academic and policy-research orientation, and overlapping founder visibility (Meredith Whittaker) in the AI ethics field.
• Future of Life Institute: Non-profit focused on existential and societal risks from transformative AI, including advocacy for AI regulation. Similar non-profit advocacy structure and policy engagement to AJL, with greater emphasis on AI safety and catastrophic risk versus AJL's bias and civil-rights focus.
• Data & Society: Research institute studying the social implications of data-centric technologies. Directly comparable research-and-advocacy operating model to AJL, with overlapping subject matter (algorithmic accountability, biometric harms) and similar non-profit funding structure.

Emerging players

• Center for AI Safety (CAIS): Non-profit research organization focused on AI safety risks including societal-scale harms. Comparable non-profit research-and-advocacy structure to AJL but emphasizes existential and frontier-model safety rather than bias and civil-rights harms.
• O'Neil Risk Consulting & Algorithmic Auditing (ORCAA): Algorithmic auditing consultancy co-founded by Cathy O'Neil that conducts fairness audits for organizations deploying AI systems. Closely comparable technical focus on bias testing and accountability referenced in AJL's Who Audits the Auditors report, with a paid-services model that contrasts AJL's independent-advocacy stance.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/ajlunited
• YouTubeyoutube.com/@AJLunited
• Facebookfacebook.com/AJLUnited
• LinkedInlinkedin.com/company/ajlunited
• Instagraminstagram.com/ajlunited

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Algorithmic Justice League