Queens of Tech_white_logo

Sign the Petition: We Demand The New York Times to Update the AI Influencers List with Women AI Leaders

As a woman in the tech industry and the founder of the podcast Queens of Tech, I am deeply committed to highlighting the significant contributions made by women, people of color, non-binary individuals, and transgenders in this field. 

Despite the remarkable contributions of women in AI globally, it is disheartening to see that a recent article titled “Who’s Who Behind the Dawn of the Modern Artificial Intelligence Movement” by J. Edward Moreno published in The New York Times (2023-12-03) fails to include a single woman in its list of influencers, perpetuating a concerning narrative of gender bias within the tech industry. This omission is not only an oversight but also perpetuates harmful stereotypes about who contributes meaningfully to AI.

Women have been instrumental in shaping AI globally and despite such remarkable contributions from numerous women leaders worldwide, their work often goes unrecognized or underrepresented.

This lack of representation has real-world consequences as it can discourage young girls and other marginalized groups from pursuing careers in tech due to a lack of visible role models and representation. According to a study conducted by Microsoft Europe (2017), 30% more girls would consider taking STEM subjects if they had role models who were women and women of color. 

I and my fellow women, women of color, non-binary, and transgenders urge The New York Times not only to correct this omission but also commit itself to more inclusive reporting that truly reflects diverse voices contributing significantly towards advancements in technology fields like artificial intelligence. 

As an Iranian woman in Sweden, watching the recent surge the Iranian women’s revolution movement #women #life #freedom and in popularity of the Iranian revolution-inspired TV series “The Handmaid’s Tale” has prompted me to reflect on the socio-political climate and the potential consequences of biased AI development. As a woman in STEAM, I vehemently refuse to witness a regression in the progress we have made and endure a biased approach to the development of artificial intelligence.

It is evident that biases within AI systems can perpetuate harmful stereotypes and reinforce systemic inequalities. This not only affects individuals but also hinders the advancement of technology as a whole. We have reached a point where mere acknowledgment is not sufficient; concrete actions are required to rectify these biases and ensure a fair and inclusive future for all.

In conclusion, the imperative for diversity, inclusion, and equity in AI development is clear. Embracing DEI principles not only aligns with ethical considerations but also enhances the effectiveness, innovation, and global relevance of AI technologies. The dangers of neglecting DEI are not only ethical but also pose significant risks to business reputation, market share, and the potential of AI to positively impact society. It is time for men in tech to champion systemic change, actively include women in their teams, and collectively contribute to the creation of AI technologies that reflect the diversity and values of our global community.

Pro: Why DEI Matters in AI Development

 Enhanced Decision-Making:
Pro: Diverse teams bring a variety of perspectives, mitigating biases in AI algorithms. This results in more comprehensive and ethical decision-making processes that consider a wide range of perspectives, reducing the risk of perpetuating harmful stereotypes.

Global Relevance:
Pro: A diverse workforce ensures that AI products are developed with a global perspective, addressing the needs and nuances of users from different cultural, ethnic, and demographic backgrounds. This leads to more inclusive and universally applicable solutions.

Innovation and Creativity:
Pro: Inclusive teams foster innovation by encouraging a diversity of thought. AI algorithms developed by diverse teams are more likely to identify novel solutions and address challenges creatively, pushing the boundaries of technological advancements.

User-Centric Design:
Pro: A diverse team is better equipped to understand the varied needs and experiences of users. This results in AI products that are more user-friendly, accommodating, and reflective of the diverse range of individuals interacting with the technology.

Ethical AI Implementation:
Pro: Diverse teams are more attuned to the ethical implications of AI development. The inclusion of varied perspectives helps in identifying and addressing potential biases, ensuring that AI technologies are deployed responsibly and ethically.

Con: The Dangers of Neglecting DEI in AI Development

Biased Algorithms and Discrimination:
Con: Lack of diversity in development teams can lead to biased algorithms that perpetuate discrimination. AI systems may unintentionally favor certain groups while marginalizing others, reinforcing existing societal biases.

Limited Scope of Innovation:
Con: Homogeneous teams may lack the diversity of thought required for groundbreaking innovations. Neglecting DEI can result in a limited scope of innovation, hindering the development of AI technologies that cater to a broader spectrum of user needs.

Reputation Damage:
Con: AI products developed without diversity considerations may face backlash for perpetuating stereotypes or causing harm. This can lead to severe reputation damage for the companies involved, affecting both consumer trust and market share.

Exclusionary Products:
Con: Neglecting DEI in AI development may result in products that exclude certain user groups. For instance, facial recognition systems biased against specific ethnicities can lead to exclusionary practices, exacerbating societal inequities.

Missed Market Opportunities:
Con: Failing to embrace diversity may lead to a disconnect between AI products and the diverse market they aim to serve. Companies neglecting DEI may miss out on lucrative market opportunities by not aligning their products with the needs of a diverse user base.

A Call for Immediate Action.

Therefore, I urge you to join me in signing this petition, demanding The New York Times to update the AI influencers list with women AI leaders. Representation matters and bias is dangerous in AI development. 

Let us stand together to create a world where diversity is embraced, and technology reflects the values of equality and justice. My goal is to reach 1,000,000 signatures!

Enough is enough! Let our collective voice be heard, urging a change in the trajectory of AI development for a more inclusive, unbiased, and equitable future. 

Also, send me a list of more women in tech to be added to the list below and nominate a guest to my podcast Queens of Tech at hello@queens.of.tech.

To J. Edward Moreno and the Editors of The New York Times,

We, the undersigned, express our deep concern regarding the recent article titled “Who’s Who Behind the Dawn of the Modern Artificial Intelligence Movement” by J. Edward Moreno. While we appreciate the efforts to highlight influential figures in AI, it is disheartening to observe the complete omission of women from this crucial narrative.

The AI field has seen remarkable contributions from women globally, and their exclusion from this influential list is a disservice to the diverse voices and talents that have shaped the modern AI movement. We believe it is crucial to acknowledge and celebrate the accomplishments of women in AI, not only for their achievements but also to inspire the next generation of women in tech.

We specifically point to the oversight of not mentioning influential women like Professor Fei-Fei Li at Stanford University, whose groundbreaking work has significantly contributed to the advancements in AI. Her and other Women in AI’s absence from the list is a stark representation of the systemic gender bias that continues to persist in the tech industry.

We understand the importance of recognizing pioneers in the AI space, and we appreciate the New York Times’ commitment to providing accurate and inclusive information. Therefore, we request an immediate update to the article, incorporating a comprehensive list of women leaders in AI and highlighting their impactful contributions to the field.

In the spirit of fostering equality and diversity in the tech industry, we believe this corrective action will not only rectify a substantial oversight but also send a powerful message about the commitment to inclusivity and accurate representation in media.

We look forward to witnessing the New York Times take proactive steps to address this matter promptly.


Jasmine Moradi 

Host of Queens of Tech Podcast initiative 

Vision: To raise the workplace ecosystem for women, women of color, non-binary, and transgenders in tech by killing the imposter syndrome, stopping bad behavior, and increasing equity opportunities.

Mission: To bridge the gap between schools and workplaces by highlighting women, women of color, non-binary, and transgender voices in STEM to encourage more to unleash their full potential in these fields to reach top leadership roles. To enforce companies to build a sustainable inclusive culture to retain diverse talent so we keep the workforce power equal to continue building future diverse and inclusive products.

Goal: SDG 5 “Gender Equality” aims to “achieve gender quality and empower all women and girls”. Queens of Tech’s goal is to reach 100 voices by 2024 to be able to write a book and a scientific research article.

List of women in AI: 

– Elin Hauge – AI and Business Strategist | Professional Speaker | Board Director

– Cynthia Breazeal – Founder and CEO of Jibo, Inc., and a pioneer in social robotics.

– Daniela Braga – CEO of Defined.AI, the largest marketplace of ethically sourced training data for AI.

– Daphne Koller – Founder and CEO of insitro, and co-founder of Coursera.

– Deb Roy – Chief Scientist at Twitter and Director of the MIT Media Lab.

– Fei-Fei Li – Co-founder and chairperson AI4ALL, a non-profit focused on increasing inclusion and diversity in AI education. She’s also the inventor of the dataset and benchmarks that contributed to many of the AI developments we know.

– Kieran Snyder – Co-founder and CEO of Textio, a language analysis platform that uses machine learning and natural language processing to help organizations create more effective and inclusive communications.

– Joelle Pineau – Head of Facebook AI Research (FAIR) in Montreal and a professor at McGill University.

– Joy Buolamwini – Best-selling author of Unmasking AI, Founder of Algorithmic Justice League, and Researcher. Her methodology uncovered large racial and gender bias in AI services from companies like Microsoft, IBM, and Amazon.

– Judea Pearl – A pioneering figure in the field of artificial intelligence and a Turing Award recipient.

– Kai-Fu Lee – CEO of Sinovation Ventures, a leading venture capital firm.

– Kate Crawford – Senior Principal Researcher at Microsoft Research.

– Margaret Mitchell – A senior AI Ethics Researcher “Advancing AI informed by human values.”. Google also fired her after raising ethical flags about their tech.

– Mira Muratti – Open AI CTO

– Rana el Kaliouby: Co-founder and CEO of Affectiva. She’s a pioneer in the field of Emotion AI.

– Rumman Chowdhury – Global Lead for Responsible AI at Accenture.

– Timnit Gibru: founder and executive director of the Distributed Artificial Intelligence Research Institute. She was one of the Ethics in AI Researchers fired by Google after she raised concerns about their technology.

– Yoshua Bengio – A pioneering researcher in deep learning and co-recipient of the 2018 Turing Award.

We Demand New York Times to Update the AI Influencers List with Women AI Leaders

Note: Written by help of ChatGPT and manually edited by Jasmine Moradi.