Women’s History Month is an annual celebration that recognizes the remarkable achievements and contributions of women throughout history. It is a time to reflect on the struggles and triumphs of women who have paved the way for future generations, breaking barriers and challenging societal norms.
AI has become an increasingly integral part of our daily lives, redefining industries and presenting enormous possibilities for improving human-machine interaction. But like many other scientific and mathematical domains, the field of artificial intelligence has historically been male-dominated. Women have been underrepresented in AI research, development, and leadership roles, leading to a gender gap that has far-reaching consequences for the industry and society as a whole.
At Bright Apps, this month served as a great time for us to recognize the incredible women who are leading and transforming the domain of artificial intelligence and its related fields. We hope to inspire other women to understand the opportunities available to them within artificial intelligence, as well as do our part to raise awareness about the challenges facing women in AI. Please note that this list of women is not exhaustive but serves as an indicator of the incredible capabilities possessed by women in the field of artificial intelligence.
Dr. Fei-Fei Li
Dr. Fei-Fei Li is a distinguished computer scientist and professor at Stanford University, where she serves as the inaugural Sequoia Professor in the Computer Science Department and Co-Director of the Human-Centered AI Institute. She has held various positions, including Director of Stanford’s AI Lab and Chief Scientist of AI/ML at Google Cloud.
Dr. Li obtained her B.A. in physics from Princeton and her Ph.D. in electrical engineering from Caltech. Her research interests span cognitively inspired AI, machine learning, computer vision, robotic learning, and AI+healthcare. She is the inventor of ImageNet and has published over 300 scientific articles. Dr. Li is also a prominent advocate for diversity and equality in STEM and AI, co-founding the non-profit organization AI4ALL.
Additionally, Dr. Li has worked with policymakers and served on various commissions and task forces. Dr. Li has received numerous awards and honors, including being elected to the National Academy of Engineering, National Academy of Medicine, and American Academy of Arts and Sciences. She is also a Fellow of ACM and a recipient of several prestigious prizes. Dr. Li is a sought-after keynote speaker and the author of “The Worlds I See: Curiosity, Exploration and Discovery at the Dawn of AI.”
Daphne Koller
Daphne Koller is the CEO and founder of insitro, a machine learning-driven drug discovery and development company. She co-founded Coursera, the largest online education platform for MOOCs, and Engageli, an interactive digital learning platform. Daphne was a professor of computer science at Stanford University for 18 years and remains an adjunct faculty member.
Daphne previously served as the chief computing officer of Calico, an Alphabet company in the healthcare space. Daphne has authored over 300 refereed publications and has an h-index of over 150. Daphne was recognized as one of TIME Magazine’s 100 most influential people in 2012 and as one of Newsweek’s 10 most important people in 2010.
Cynthia Breazeal
Cynthia Breazeal is a professor of media arts and sciences at MIT, where she founded and directs the Personal Robots group at the Media Lab. She also serves as the MIT Dean for Digital Learning and is the Director of the MIT-wide Initiative on Responsible AI for Social Empowerment and Education (RAISE). Breazeal’s book, “Designing Sociable Robots,” is considered a landmark in the field of Social Robotics and Human-Robot Interaction.
Timnit Gebru
Timnit Gebru was born in Ethiopia and moved to the United States at the age of fifteen. She obtained her B.S. and M.S. in electrical engineering from Stanford University, as well as a Ph.D. from the Stanford Artificial Intelligence Laboratory, where she studied computer vision under Fei-Fei Li. Gebru previously worked as a postdoctoral researcher at Microsoft Research in the Fairness, Accountability, Transparency, and Ethics (FATE) division. She has also worked with Apple, where she assisted in the development of signal-processing algorithms for the original iPad.
Daniela Rus
Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Her research focuses on robotics, mobile computing, and data science. Rus has received numerous honors, including being named a MacArthur Fellow in 2002, and she is a fellow of ACM, AAAI, and IEEE.
Daniela is also a member of the National Academy of Engineers and the American Academy of Arts and Sciences. Rus earned her PhD in Computer Science from Cornell University and was a professor in the Computer Science Department at Dartmouth College before joining MIT.
Rana el Kaliouby
Dr. Rana el Kaliouby is a prominent figure in the field of artificial intelligence, best known as the co-founder and CEO of Affectiva, a pioneering AI company that specializes in emotion recognition technology. With a strong background in computer science and a passion for humanizing AI, Dr. el Kaliouby has made significant contributions to the development of intelligent systems that can understand and respond to human emotions.
Dr. Kaliouby’s work at Affectiva has led to groundbreaking advancements in affective computing, enabling machines to interpret facial expressions, vocal tones, and other nonverbal cues, thereby creating more intuitive and empathetic human-computer interactions. As a visionary leader and advocate for ethical AI, Dr. el Kaliouby continues to shape the future of emotion AI and inspire the next generation of women in technology.
Dina Katabi
Dina Katabi is an MIT Professor, Director of the MIT Wireless Center, a MacArthur Fellow, and the leader of the NETMIT Research Group. You can learn more about Dina here.
Maja Matarić
Maja Matarić, a distinguished professor at the University of Southern California (USC) and the founding director of the Robotics and Autonomous Systems Center, is a renowned expert in socially assistive robotics. Her research combines robotics, artificial intelligence, and human-robot interaction to create intelligent machines that can provide assistance, support, and companionship to humans in various settings. As a pioneering woman in the field, Matarić has made significant contributions to advancing the state of the art in socially assistive robotics, promoting diversity and inclusion in STEM, and inspiring countless students and researchers with her dedication to using technology for the betterment of society.
Ayanna Howard
Ayanna Howard is the Dean of the College of Engineering at The Ohio State University and the founder of Zyrobotics, a company that develops accessible educational technologies for children with diverse learning needs.
Dr. Howard has made significant contributions to the field, particularly in the areas of human-robot interaction, assistive robotics, and inclusive technology design. Her research focuses on creating intelligent systems that can adapt to and learn from their interactions with humans, with applications ranging from healthcare and education to space exploration.
Through her leadership roles and entrepreneurial ventures, Ayanna Howard continues to champion diversity, equity, and inclusion in STEM, inspiring the next generation of innovators and problem-solvers.
Pascale Fung
Pascale Fung is a Chair Professor at the Department of Electronic & Computer Engineering at The Hong Kong University of Science & Technology (HKUST) and a visiting professor at the Central Academy of Fine Arts in Beijing. She is an elected Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the Association for Computational Linguistics (ACL), the Institute of Electrical and Electronic Engineers (IEEE), and the International Speech Communication Association for her significant contributions to conversational AI, ethical AI principles and algorithms, statistical NLP, comparable corpora, human-machine interactions, and spoken language human-machine interactions.
Prof. Fung is the Director of HKUST Centre for AI Research (CAiRE), an interdisciplinary research centre promoting human-centric AI, and co-founded the Human Language Technology Center (HLTC). She has held various leadership positions and advisory roles in AI governance and ethics, including at the World Economic Forum, Partnership on AI, IEEE, Meta, and Google. Her research focuses on building frontier AI models that benefit humans and society while understanding their capabilities and limitations to ensure controllability and trustworthiness. Prof. Fung’s team has won several best and outstanding paper awards at prestigious conferences and workshops.
Joelle Pineau
Joelle Pineau is a Professor and William Dawson Scholar at McGill University’s School of Computer Science, where she co-directs the Reasoning and Learning Lab. She is also a VP of AI research at Meta, leading the Fundamental AI Research (FAIR) team. With a focus on developing models and algorithms for planning and learning in complex partially-observable domains, Dr. Pineau applies these techniques to robotics, health care, games, and conversational agents. She holds prestigious positions and fellowships, including a Canada CIFAR AI Chair, and has received numerous awards for her contributions to the field of artificial intelligence.
Olga Russakovsky
Dr. Olga Russakovsky, an Assistant Professor in the Computer Science Department at Princeton University, is a renowned researcher in computer vision, machine learning, and human-computer interaction. With a PhD from Stanford University and a postdoctoral fellowship from Carnegie Mellon University, she has made significant contributions to the field, including leading the ImageNet Large Scale Visual Recognition Challenge.
Dr. Russakovsky has been recognized with numerous awards, such as the PAMI Everingham Prize, the MIT Technology Review’s 35-under-35 Innovator award, and being named one of Foreign Policy Magazine’s 100 Leading Global Thinkers. Alongside her research, she co-founded and serves on the Board of Directors of AI4ALL, a nonprofit dedicated to increasing diversity and inclusion in AI, and has established AI4ALL camps at Stanford and Princeton to teach AI to underrepresented groups.
Yejin Choi
Yejin Choi, an associate professor at the University of Washington’s Paul G. Allen School of Computer Science & Engineering, is also an adjunct of the Linguistics department, an affiliate of the Center for Statistics and Social Sciences, and a senior research manager at the Allen Institute for Artificial Intelligence. Her notable achievements include receiving the Marr Prize at ICCV 2013, the Borg Early Career Award in 2018, and being named among IEEE AI’s 10 to Watch in 2016. Prof. Choi earned her Ph.D. in Computer Science from Cornell University under the guidance of Prof. Claire Cardie and her BS in Computer Science and Engineering from Seoul National University in Korea.
Kate Crawford
Kate Crawford, a renowned scholar focusing on the social implications of artificial intelligence, has dedicated her 20-year career to understanding large-scale data systems, machine learning, and AI within the broader contexts of history, politics, labor, and the environment. She is a Senior Principal Researcher at Microsoft Research New York, a Research Professor of Communication and STS at USC Annenberg, and a Visiting Chair for AI and Justice at the École Normale Supérieure in Paris.
Kate’s academic research has been published in prestigious journals such as Nature, New Media & Society, Science, Technology & Human Values, and Information, Communication & Society. Crawford’s work also includes collaborative projects and critical visual design, with her project Anatomy of an AI System, co-created with Vladan Joler, winning the Beazley Design of the Year Award in 2019 and being included in the permanent collections of the Museum of Modern Art in New York and the V&A Museum in London. Additionally, her collaboration with artist Trevor Paglen, titled Excavating.ai, was awarded the Ayrton Prize from the British Society for the History of Science.
Francesca Rossi
Francesca Rossi is a renowned computer scientist who has made significant contributions to the field of artificial intelligence (AI) ethics. After a distinguished 22-year academic career at the University of Padua in Italy, she took a leave of absence to explore new perspectives at Harvard University’s Radcliffe Institute. This experience motivated her to consider the ethical implications of AI and the importance of incorporating humanistic perspectives into AI system design. As Francesca states, “If we focus on our humanity as we create our technologies, our potential is unlimited, because the ultimate goal is not to improve AI, but to improve us as human beings through the advancement of AI.”
Since joining IBM, Francesca has been instrumental in driving the company’s leadership in the development and responsible stewardship of AI technology. She formed IBM’s internal AI Ethics Board, which she co-chairs, and has been a key figure in building external partnerships, such as the Partnership in AI, to define and share best practices for beneficial AI. Francesca strongly believes that innovation can coexist with AI ethics guidelines related to privacy, fairness, transparency, robustness, and explainability. Her work focuses on establishing ethical frameworks to examine and anticipate the consequences of AI-related choices, ensuring that AI systems complement humanity in beneficial ways.
Alison Darcy
Alison Darcy, a research psychologist and technologist, is the Founder and President of Woebot Health, a company that develops digital therapeutics and behavioral health products. With her expertise in psychology and technology, Darcy has been at the forefront of revolutionizing mental health care through innovative digital solutions that aim to make therapy more accessible and effective for individuals seeking support and treatment.
Chelsea Finn
Dr. Chelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University, where she leads the IRIS lab, affiliated with the Stanford Artificial Intelligence Laboratory (SAIL) and the Machine Learning Group. Her research focuses on the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. Dr. Finn completed her Ph.D. in Computer Science at UC Berkeley and her B.S. in Electrical Engineering and Computer Science at MIT. She has also spent time at Google as part of the Google Brain team, further advancing her expertise in the field of artificial intelligence and robotics.
Rumman Chowdhury
Dr. Rumman Chowdhury is a pioneering figure in the field of applied algorithmic ethics, focusing on the intersection of artificial intelligence and humanity. She is currently running Parity Consulting, Parity Responsible Innovation Fund, and holds various positions at prestigious institutions such as Harvard University, Cambridge University, and NYU Tandon School of Engineering.
Previously, Dr. Chowdhury served as the Director of META team at Twitter, CEO and founder of Parity, and Global Lead for Responsible AI at Accenture Applied Intelligence, where she co-authored a Harvard Business Review piece on the Fairness Tool, a first-in-industry algorithmic tool to identify and mitigate bias in AI systems. She is dedicated to fostering the responsible use of emerging technologies through her work as a General Partner of the Parity Responsible Innovation venture capital fund and her mentorship and board member roles in various organizations.
Adriana Romero
Adriana Romero is a research scientist at Facebook AI Research and an adjunct professor at McGill University, dedicated to developing models and algorithms that can learn from multi-modal and real-world data, understand and reason about conceptual relations, and recognize their uncertainties while addressing impactful problems. Her research focuses on inferring full observations from limited sensory data.
Previously, as a post-doctoral researcher at Mila under the guidance of Prof. Yoshua Bengio, Adriana worked on deep learning techniques to tackle biomedical challenges posed by multi-modal, high-dimensional, and graph-structured data. She received her Ph.D. from the University of Barcelona, where she was advised by Dr. Carlo Gatta and wrote her thesis on assisting the training of deep neural networks.
Allie Miller
Allie Miller is a prominent artificial intelligence leader, advisor, and investor, known for her significant contributions to the field. As the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS), she advised top machine learning researchers, founders, and investors, growing the business to become a 100-person, 10-figure organization.
Before AWS, Allie was the youngest woman to build an AI product at IBM, leading product development across computer vision, conversation, data, and regulation. Recognized as a thought leader, Allie has been named AIconic’s 2019 “AI Innovator of the Year”, LinkedIn Top Voice for Technology and AI (2019-2023), and has won numerous other accolades. She is also the co-founder of Girls of the Future, an ambassador for various organizations, an angel investor, and holds a double-major MBA from The Wharton School and a BA in Cognitive Science from Dartmouth College.
Joy Buolamwini
Joy Buolamwini is an influential poet of code who combines art and research to shed light on the social implications of artificial intelligence. As the founder of the Algorithmic Justice League, she aims to create a world with more equitable and accountable technology. Her groundbreaking MIT thesis methodology uncovered significant racial and gender bias in AI services from major tech companies, and her research has gained global recognition.
Joy is a sought-after international speaker who has advocated for algorithmic justice at the World Economic Forum and the United Nations, and serves on the Global Tech Panel to advise world leaders and technology executives on reducing the harms of AI. As a creative science communicator, she has written op-eds for publications like TIME Magazine and The New York Times, and her spoken word visual audits and short films have been featured in exhibitions worldwide.
With a diverse educational background, including degrees from the Georgia Institute of Technology, Oxford University, and MIT, as well as being named to numerous prestigious lists, Joy Buolamwini is widely regarded as the “conscience of the A.I. Revolution” by Fortune Magazine. You can learn more about her and her work here.
Beena Ammanath
Beena Ammanath is a leading expert in Trustworthy AI and Technology Trust Ethics at Deloitte, where she guides businesses in navigating the complex landscape of trust and ethics in artificial intelligence. She is the author of “Trustworthy AI,” a book that provides valuable insights for organizations looking to implement AI responsibly.
With extensive global experience in AI and digital transformation across various industries, Beena has made significant contributions to the field. As the founder of the non-profit organization Humans For AI, she is dedicated to increasing diversity in AI.
Beena also serves on the boards of AnitaB.org and Cal Poly College of Engineering, and has previously been a board member and advisor to several technology startups. Driven by a passion for leveraging data, AI, and technology to create a better world for all, Beena is at the forefront of shaping the future of AI ethics and trust.
Claire Delaunay
Claire Delaunay, the vice president of engineering at NVIDIA, is a prominent figure in the field of robotics and autonomous vehicles. She leads the Isaac robotics initiative, working with her team to make Isaac accessible to roboticists and developers worldwide.
Before joining NVIDIA, Claire co-founded Otto, a startup that was later acquired by Uber, where she became the director of engineering. Her extensive experience in robotics spans 15 years, including her role as the robotics program lead at Google and founding two companies, Botiful and Robotics Valley.
Throughout her career, Claire has led teams in various settings, from startups and research labs to Fortune 500 companies. She holds a Master of Science in computer engineering from École Privée des Sciences Informatiques (EPSI).
Sara Hooker
Sara Hooker is the VP of Research at Cohere and leads Cohere For AI, a research lab dedicated to solving complex machine learning problems and supporting fundamental research that explores uncharted territories in the field. She oversees a team of researchers and engineers focused on making large language models more efficient, safe, and grounded. Before joining Cohere, Sara was a research scientist at Google Brain, where she worked on training models that go beyond test-set accuracy to meet multiple criteria, such as interpretability, compactness, fairness, and robustness. She is passionate about working on research problems that lead to reliable and accessible real-world applications of machine learning.
In addition to her work at Cohere, Sara is a co-founder of the Trustworthy ML Initiative, a forum and seminar series related to Trustworthy ML, and serves on the advisory boards of Patterns and Kaggle’s ML Advisory Research Board. She is also a member of the World Economic Forum council on the Future of Artificial Intelligence and an active member of the MLC research group, which focuses on making participation in machine learning research more accessible.
Sara founded Delta Analytics, a Bay Area non-profit that collaborates with organizations and communities worldwide to build technical capacity and empower people to use data effectively. She remains an advisor on the Delta Analytics board.
For those interested in exploring underrated ideas in machine learning, Sara co-hosts a podcast called “Underrated ML” with Sean Hooker.
Obstacles and challenges for women in the field of AI
Despite the growing prominence of AI and its potential to transform various aspects of our lives, women continue to face significant challenges in this field. These obstacles not only hinder their professional growth but also have far-reaching consequences for the development and impact of AI technologies.
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- Underrepresentation of women in the field: According to the World Economic Forum’s 2020 Global Gender Gap Report, women make up only 26% of the AI workforce. This disparity is even more pronounced in tech giants like Google and Facebook, where women comprise between 12% and 36.7% of technical roles (Statista, 2022). The limited diversity in AI development and decision-making processes can lead to biased AI systems that perpetuate gender inequalities, further exacerbating the challenges faced by women in the field.
- Lack of early exposure and mentorship: The scarcity of women in leadership positions results in an underrepresentation of women in AI companies and a lack of visibility and influence for women in the AI community. This reality is exacerbated by inadequate support systems, limited funding options, and nonexistent development programs, and insufficient policies and initiatives to address gender-specific challenges in AI workplaces.
- Gender stereotypes and societal expectations: Young girls are discouraged from pursuing STEM fields because of societal perception that men have a natural aptitude for mathematics, science, and technology. Job postings may use language that inadvertently appeals more to male candidates, while interview questions and evaluation criteria may favor traits traditionally associated with men, such as assertiveness and competitiveness.
- Lack of representation of women in leadership positions: With fewer visible female role models and mentors, young women may struggle to envision themselves succeeding in the field. Additionally, women’s perspectives and experiences are often overlooked in decision-making processes, resulting in AI technologies that may not adequately reflect or address the needs and concerns of diverse user groups.
- Societal expectations are unequal regarding work-life balance: Women are often expected to shoulder a greater share of domestic responsibilities, such as childcare and household management, which can make it challenging to maintain the demanding schedules and workloads associated with AI research and development. The lack of flexible work arrangements and support for work-life balance in many AI workplaces further exacerbates this issue.
Gender diversity means breaking silos that bar women from AI
As Elmira Bayrasli, newsletter author and CEO of Interruptrr, pointed out, “Diversity isn’t cosmetic. It’s structural. The reason to have women, people of color, and people from different socio-economic backgrounds isn’t to make someone feel good. It’s to prevent silos and echo chambers. Diversity brings about different perspectives and solutions. That’s why it’s important.”
Women have been at the forefront of many groundbreaking advancements in artificial intelligence. Fei-Fei Li made seminal contributions to the field of computer vision, creating the influential ImageNet dataset that has been instrumental in enabling machines to accurately classify and recognize images.
Women have also been leading voices in illuminating critical issues around bias, fairness and ethics in AI. Timnit Gebru’s research has exposed how machine learning models can absorb societal biases around race and gender, perpetuating discrimination at scale. Joy Buolamwini’s groundbreaking work revealed the shocking disparities in accuracy of facial recognition systems for people with darker skin, especially women of color.
Meredith Whittaker has been a prominent advocate for prioritizing ethics and social responsibility in the development of AI technologies. She co-founded the AI Now Institute with Kate Crawford to study the social implications of artificial intelligence and promote best practices for responsible AI development. Joy Buolamwini launched the Algorithmic Justice League to raise awareness about algorithmic bias and develop practices for accountability and transparency in AI.
Together, these women demonstrate the immense positive impact that gender diversity can have on the field of AI.
Resources For Women in AI Beyond Women’s History Month
To truly support women in the field of AI, it’s essential to raise awareness about the support systems, educational programs, and resources that can help break down barriers and empower women to reach their full potential within the field of artificial intelligence. Here are some prominent organizations and initiatives dedicated to supporting and advancing women in AI:
- Women in AI (WAI) is a global organization with local chapters that aims to increase female representation and participation in AI through various initiatives, events, and networking opportunities.
- AI4ALL is a nonprofit dedicated to increasing diversity and inclusion in AI by offering educational programs for underrepresented youth, helping to build a more diverse pipeline of future AI professionals.
- Women of AI is an organization focused on supporting and empowering women in the AI industry through mentorship, networking, and educational resources.
- ADA Developers Academy is a nonprofit that provides tuition-free software development training for women and gender-diverse individuals, helping to increase diversity in tech.
- Women Who Code is a global nonprofit dedicated to inspiring women to excel in technology careers through community, education, and advocacy.
- Women In Technology International (WITI) is a leading global organization that empowers women in business and technology through networking, education, and advocacy.
- Women Tech Council is a community of women and men focused on the economic impact of women in driving high growth for the technology sector.
- Women in STEM is an organization that aims to close the gender gap in science, technology, engineering, and mathematics (STEM) fields through education, mentorship, and advocacy.
- TechLadies is a community initiative that aims to increase gender diversity in tech by providing women with the support, resources, and network they need to succeed.
- IEEE Women In Engineering is a global network of IEEE members and volunteers dedicated to promoting women engineers and scientists, and inspiring girls around the world to follow their academic interests in STEM careers.
- Switch is a nonprofit that provides free coding bootcamps and mentorship programs for underrepresented groups in tech, including women and minorities.
- Girls in Tech is a global nonprofit focused on engaging, educating, and empowering girls and women who are passionate about technology.
- Million Women Mentors is an initiative that aims to increase the number of women and girls pursuing careers in STEM fields through mentorship and sponsorship opportunities.
There are also many conferences and events featuring women leaders in AI and related STEM fields. You can find a list of 2024 conferences for women in AI here.
Newsletters to learn about the latest in AI
There are numerous AI newsletters that provide up-to-date information, expert analysis, and thought-provoking content regarding the artificial intelligence field and emerging applications of AI across various industries.
These newsletters offer women a convenient way to stay informed about the latest developments, trends, and insights in the field of artificial intelligence. There are several options available online but we’ve featured some of the best newsletters below:
- The Neuron: The Neuron is a popular daily newsletter that delivers curated AI stories, tools, and research to over 45,000 professionals, helping them stay informed and leverage AI to transform their work. With a focus on providing real value and making AI accessible, The Neuron cuts through the hype and teaches practical strategies that work, taking subscribers from beginners to experts in no time. Its fun and engaging approach to AI education has earned The Neuron a trusted reputation among its 225,000+ subscribers, who rely on the newsletter to stay up-to-date and work smarter in the ever-evolving AI landscape.
- Javid Lakha: This newsletter is relatively young, but is run by a Machine learning research engineer who discusses topics like Mixtures of Experts and Bayesian Flow Networks.
- Artificial Fintelligence: The author of this newsletter, Finbarr Timbers, is an ex-Deep Mind researcher and is currently working at Midjourney. As they explain on their About page, this newsletter is their attempt to write each month about the latest developments in the artificial intelligence field.
- Artificial Intelligence +: “This is an attempt at opening up conversations about artificial intelligence, internet of things, automation, and robotics,” says the author of this newsletter, Sanksshep Mahendra. If you prefer to listen instead of read, this newsletter is also a podcast.
- Artificial Intelligence Survey: To quote author Michael Spencer, this newsletter consists of “bite size curation of links to A.I. news, funding and trending topics from around the web.” With over 3,000 subscribers, we thought this newsletter deserved a mention in this list of AI newsletters.
- Mindstream: This newsletter bills itself as the “hottest AI newsletter around” with “news, opinions, polls, and so much more.” With over 120,000 subscribers, it seems to be living up to the hype.
- Ben’s Bites: Besides concise alliteration, this daily newsletter features curated news about AI news, product launches, and business use cases of artificial intelligence.
- Superhuman Newsletter: This is arguably the one of largest AI newsletters and is read by over 600,000 readers from industry giants such as Apple, Amazon, Google, Meta, and Microsoft.
- Not A Bot: “A free newsletter about AI, that’s not written by AI,” says author Haroon Choudery. Not A Bot discusses the latest AI trends and features interviews from business leaders and influential people about the current state and future of artificial intelligence. You can join over 50,000 subscribers (including Mark Cuban) at the link in the beginning of this paragraph.
- AI Valley: This AI newsletter, featuring “high value insights and no BS,” is read by over 80,000 subscribers from companies like Google, OpenAI, Notion, and Apple.
- The Rundown AI: The promise of this newsletter? You’ll “get the rundown on the latest developments in AI before everyone else.” With an audience of 500,000 subscribers that is growing every day, you owe it to yourself to sign up for this one.
- Prompts Daily: While most of the newsletters in this list discuss AI news and research, Prompts Daily offers the “most simplified and tactical AI prompts, insights, and tools” to help you stay informed and competitive as you apply AI to your work.
Welcoming women goes beyond Women’s History Month
The work of welcoming and empowering women in AI extends beyond Women’s History Month. The organizations, initiatives, and communities mentioned here are just the beginning of a larger movement to create a more inclusive and diverse AI landscape. By continuously supporting and amplifying the voices of women in AI, we can break down barriers and ensure that the future of AI is shaped by diverse perspectives. Let us carry this momentum forward and commit to building a world where every woman can thrive in the transformative field of AI.
