Joy Buolamwini

The Poet of Code Fighting Algorithmic Injustice

Joy Buolamwini stands as one of the most influential voices in the fight against algorithmic bias, combining groundbreaking research with artistic expression to illuminate the social implications of artificial intelligence.

As the founder of the Algorithmic Justice League and a leading advocate for equitable AI, she has transformed how the world understands and addresses bias in facial recognition systems and beyond, earning recognition as “the conscience of the AI revolution.”

AI will not solve discrimination, because the cultural patterns that say one group of people is better than another because of their gender, their skin color, the way they speak, their height, or their wealth are not technical.

Professional Background and Current Impact

Joy Adowaa Buolamwini is a Canadian-American computer scientist and digital activist who earned her PhD in Media Arts & Sciences from MIT in 2022. Currently serving as the founder, president, and artist-in-chief of the Algorithmic Justice League (AJL), she continues her mission to create a world with more equitable and accountable technology through research, art, and advocacy.

Her influence extends globally through advisory roles with world leaders, congressional testimony, and participation in international forums including the World Economic Forum and United Nations. She serves on the Global Tech Panel convened by the Vice President of the European Commission to advise technology executives and world leaders on reducing AI harms.

The Discovery That Changed Everything

Buolamwini’s journey into algorithmic justice began with a personal encounter with bias. While working on a graduate project at MIT’s Media Lab, she discovered that facial recognition software could detect the faces of her lighter-skinned colleagues but consistently failed to recognize her own face. The system only worked when she wore a white mask, revealing what she would later term “the coded gaze” – the evidence of encoded discrimination and exclusion in tech products.

This experience catalyzed her groundbreaking research and led to the founding of the Algorithmic Justice League in 2016. Rather than accepting technological limitations, she responded with scientific rigor and artistic expression, transforming a moment of exclusion into a global movement for algorithmic justice.

Revolutionary Research: The Gender Shades Project

Buolamwini’s MIT thesis research culminated in the landmark “Gender Shades” study, which revealed devastating accuracy disparities in commercial facial recognition systems. Her research found that AI-powered systems showed error rates of up to 34.7% when identifying darker-skinned women, compared to just 0.8% for lighter-skinned men.

The study tested facial recognition systems from tech giants including IBM, Microsoft, and Amazon, using an intersectional approach that examined how race and gender combined to create compounded discrimination. This research methodology became foundational for AI auditing practices worldwide and prompted immediate corrective actions from major technology companies.

Following publication, IBM and Microsoft took steps to improve their algorithms, while Amazon faced sustained pressure to address bias in their systems. The research has been cited in over 230 articles across 37 countries and stands as one of the most cited peer-reviewed AI ethics publications in the world.

The Algorithmic Justice League: Building a Movement

The Algorithmic Justice League, founded in 2016, combines research, art, and advocacy to illuminate the social implications of AI. Recognized by Fast Company as one of the 10 most innovative AI companies in the world in 2021, AJL has grown into a global movement with initiatives spanning:

Research and Auditing

  • Development of tools to rigorously test for bias in machine learning systems
  • Creation of methodologies for intersectional AI auditing
  • Leading the Community Reporting of Algorithmic System Harms (CRASH) project to enable broader participation in AI accountability

Policy and Advocacy

  • Co-founding the Safe Face Pledge to prohibit weaponization of facial recognition technology
  • Collaborating with Georgetown Center on Privacy & Technology on policy frameworks
  • Advising on federal legislation and executive orders on AI governance

Art and Education

  • Creating accessible media to introduce wide audiences to algorithmic bias concepts
  • Developing the award-winning visual spoken word poem “AI, Ain’t I A Woman?” featuring failures on faces of iconic women like Serena Williams, Oprah Winfrey, and Michelle Obama
  • Curating exhibitions at prestigious venues including the Museum of Fine Arts Boston and Barbican Centre UK

Educational Foundation and Scholarly Excellence

Buolamwini’s exceptional academic journey reflects her commitment to both technical excellence and social impact:

Early Education and Inspiration: Born in Edmonton, Alberta, to Ghanaian immigrants, she grew up in Mississippi and attended Cordova High School in Tennessee. At age nine, she was inspired by MIT’s Kismet robot and taught herself XHTML, JavaScript, and PHP. As a student-athlete, she balanced competitive pole vaulting and basketball while excelling academically.

Undergraduate Achievement: She graduated as a Stamps President’s Scholar from Georgia Institute of Technology in 2012 with a Bachelor’s degree in Computer Science. She was the youngest finalist of the Georgia Tech InVenture Prize in 2009 and conducted research in health informatics.

Graduate Excellence:

  • Rhodes Scholar at Oxford University, where she studied learning and technology at Jesus College and participated in the first formal Service Year on community-focused projects
  • Fulbright Fellow developing mobile apps in Zambia
  • Master’s Degree in Media Arts & Sciences from MIT (2017) under supervision of Ethan Zuckerman
  • PhD in Media Arts & Sciences from MIT Media Lab (2022) with thesis “Facing the Coded Gaze with Evocative Audits and Algorithmic Audits”

Artistic Expression: The Poet of Code

Buolamwini describes herself as a “poet of code,” uniquely combining technical research with artistic expression to make AI bias accessible and emotionally resonant. Her artistic works include:

“AI, Ain’t I A Woman?”

This award-winning visual spoken word poem demonstrates AI failures on faces of iconic women, directly connecting historical patterns of exclusion with contemporary algorithmic discrimination. The piece has been exhibited internationally and serves as a powerful tool for public education about AI bias.

“Coded Bias” Documentary

Featured prominently in the Emmy-nominated Netflix documentary “Coded Bias,” which premiered at Sundance Film Festival in 2020. The film explores how AI can perpetuate racial and gender biases and highlights her research about inaccuracies in facial recognition technology.

Interactive Installations

Created the Aspire Mirror, a device that shows users reflections based on what inspires them, and other artistic pieces that humanize AI harms while promoting inclusion and empowerment.

Recognition and Global Impact

Buolamwini’s work has earned numerous prestigious recognitions:

Major Awards:

  • Rhodes Scholarship (Oxford University)
  • Fulbright Fellowship (Zambia)
  • NAACP-Archewell Foundation Digital Civil Rights Award (2024)
  • Technological Innovation Award from Martin Luther King Jr. Center for Nonviolent Social Change
  • Morals & Machines Prize (inaugural recipient)
  • Astronaut Scholar and Anita Borg Institute Scholar

Notable Recognition:

  • Fortune magazine named her to their 2019 list of world’s greatest leaders, describing her as “the conscience of the AI revolution”
  • Time magazine included her in the inaugural TIME 100 Most Influential People in AI
  • Named to Bloomberg 50, MIT Technology Review 35 under 35, Forbes Top 50 Women in Tech (youngest), and Forbes 30 under 30

Global Speaking and Advisory Roles: Her TED Talk on algorithmic bias has over 1.7 million views, and she regularly advises world leaders, including serving as an advisor to President Biden ahead of his Executive Order on AI in 2023.

Best-Selling Author: “Unmasking AI”

In 2023, Buolamwini published “Unmasking AI: My Mission to Protect What Is Human in a World of Machines,” which became a national bestseller and Los Angeles Times Best Book of the Year. The book chronicles her journey from graduate student to global advocate while examining the social implications of AI technology.

The book applies an intersectional lens to expose how racism, sexism, colorism, and ableism overlap in AI systems, rendering broad swaths of humanity “excoded” and vulnerable. Through personal narrative and rigorous analysis, she demonstrates how computers reflect both the aspirations and limitations of their creators.

What Women in the Field Can Learn from Joy Buolamwini

1. Transform Personal Experiences into Systemic Change

Buolamwini’s encounter with facial recognition bias could have been dismissed as a technical glitch. Instead, she used scientific methodology to investigate and document systemic discrimination. Women can follow her example by treating unexpected obstacles as research opportunities and potential catalysts for positive change.

2. Combine Technical Rigor with Artistic Expression

Her identity as “poet of code” demonstrates how technical expertise can be enhanced through creative expression. By making complex issues accessible through art, women can reach broader audiences and create emotional connections that drive policy change and public awareness.

3. Develop Intersectional Approaches to Research

The Gender Shades methodology pioneered intersectional analysis in AI research, examining how multiple forms of discrimination compound. Women can strengthen their research impact by considering how different identities and experiences intersect in technological systems.

4. Build Bridges Between Academic and Advocacy Work

Buolamwini successfully balances rigorous academic research with practical advocacy, demonstrating that scholarly excellence and social impact can reinforce each other. Women can enhance their careers by connecting their research to real-world applications and policy implications.

5. Create New Frameworks and Methodologies

Rather than working within existing paradigms, she created new approaches to AI auditing and bias detection. Women can differentiate themselves by developing innovative methodologies that address gaps in current approaches to technology evaluation.

6. Use Media and Documentation Strategically

Her participation in “Coded Bias” and creation of viral TED Talks demonstrate the power of strategic media engagement. Women can amplify their impact by documenting their work and making it accessible through multiple channels and formats.

7. Build Collaborative Networks and Movements

The Algorithmic Justice League exemplifies how individual research can scale into global movements. Women can multiply their impact by building organizations and networks that sustain advocacy efforts beyond individual contributions.

8. Address Ethics Proactively, Not Reactively

Her work anticipates and addresses ethical implications before they become widespread harms. Women can establish themselves as leaders by focusing on prevention rather than just responding to problems after they emerge.

9. Maintain Authenticity While Achieving Excellence

Buolamwini’s success comes from embracing her full identity – artist, scientist, advocate – rather than conforming to narrow professional expectations. Women can build stronger careers by integrating their diverse interests and perspectives.

10. Scale Individual Research into Policy Impact

Her work directly influenced executive orders, congressional hearings, and corporate policy changes. Women can enhance their career impact by connecting research findings to policy recommendations and regulatory frameworks.

Professional Profiles:

Books and Publications:

  • “Unmasking AI” Official Website: https://www.unmasking.ai/
  • MIT Publications: Available through MIT Media Lab
  • Gender Shades Research: Foundational intersectional AI bias study

Media and Documentaries:

  • TED Talk on Algorithmic Bias: Over 1.7 million views
  • “Coded Bias” Documentary: Available on Netflix
  • “AI, Ain’t I A Woman?”: Award-winning spoken word visual audit

Recognition:

Vision for Equitable AI

Buolamwini advocates for AI development that serves all people rather than privileging existing power structures. Her concept of the “coded gaze” – how priorities, preferences, and prejudices get built into algorithms – provides a framework for understanding how bias becomes embedded in technological systems.

She emphasizes that achieving fairness in AI requires multi-faceted approaches including regulatory frameworks, collaborative efforts, inclusive datasets, transparent auditing, and ethical policies. Her work demonstrates that technical solutions alone are insufficient; addressing algorithmic bias requires sustained advocacy, policy change, and cultural transformation.

International Influence and Policy Impact

Buolamwini’s research has influenced policy at the highest levels of government and industry:

  • United States: Advised President Biden’s administration on AI executive orders and testified before Congress on algorithmic accountability
  • European Union: Serves on advisory panels for AI regulation and policy development
  • Corporate Policy: Her research prompted immediate changes at Microsoft, IBM, and sustained pressure on Amazon and other tech giants
  • Academic Standards: Her methodologies are now standard practice in AI auditing and fairness research

Legacy and Continuing Impact

Joy Buolamwini represents a new model of technology leadership that prioritizes justice, inclusion, and human dignity. Her career demonstrates that the most impactful contributions to AI often come not from purely technical innovations, but from examining the social implications of technology and advocating for its equitable development.

Her concept of “algorithmic justice” has become fundamental to discussions of AI ethics, while her intersectional approach to bias detection has transformed how researchers evaluate technological systems. By combining rigorous research with artistic expression and policy advocacy, she has created a template for engaged scholarship that drives meaningful change.

For women in machine learning, Buolamwini’s career offers a blueprint for building influence through authentic expertise, creative expression, and sustained advocacy. Her success demonstrates that women can lead not just technical development, but transformation of entire fields toward more ethical, inclusive, and accountable practices.