Artificial intelligence has taken every industry by storm. However, like with every other technology, there are limitations with women in AI as well. After all AI is all about the fed data and if there are biases in the data, you can’t expect miraculous results of non-biases from AI-based system.
The exponential growth in data science and machine learning has increased the demand for AI professionals in recent years. Unfortunately, despite this huge growth, the number of women entering the field of AI is less as compared to their male counterparts.
With the global drive to attract more women into STEM careers, not all is. In addition, there are some women who have made their names in the world of AI and inspiration for young artificial intelligence scientists, data scientists and programmers of the future.
- MOUNIA LALMAS
Lalmas is the Director of Research at Spotify and Head of Tech Research in User Engagement, where she leads an interdisciplinary team of research scientists focused on personalization and discovery. Her support to PhD and MSc students worldwide has encouraged next generation data scientists to bring positive developments into the sector.
- DR RENATA AFI RAWLINGS- GOSS
Dr Goss is a biophysicist by trade and much of her research focuses on data-driven analysis of genetic/ expression variation among worldwide human population. She’s currently Founding Executive Director of the South Big Data Innovation Hub, and runs The Data Career Academy, focusing on developing future AI workforce.
- DANIELA RUS
Daniela Rus is one of the world’s leading Roboticists and Head of MIT’s Computer Science and AI Lab, one of the largest prestigious AI labs in the world. With the demand for robotics increasing, Daniela’s work is helping develop AI that could transform Industry in the not-too-distant future.
- KATE CRAWFORD
As a professor and leading researcher, Kate’s work has led her to becoming an advisor to policymakers in the White house, the Federal Trade Commission, and the United Nations. She embodies the true meaning of a positive influencer in AI and has written for high profile publications such as The New York Times and The Wall Street Journal.
- ELIZABETH ADAMS
Elizabeth is a Technology Integrator working across Cyber Security, AI ethics and AI Governance. She also teaches, consults and writes passionately on topics within Diversity and Inclusion in AI and is committed to embedding ethics and human-centeredness in future AI systems.
- JOY BUOLAMWINI
As a graduate student, Joy opened world’s eyes to the racial and gender prejudices embedded in facial recognition systems through her pioneering work on algorithmic bias. She stands at the forefront of a growing movement to identify and address social consequences of AI.
- ALLIE MILLER
Allie Miller is Amazon’s US Head of AI Market growth for Start-ups and Venue capital (AWS), supporting some of the largest organizations. She’s the founder of ‘The AI Pipeline’ and was named “AI innovator of the year” by Forbes 2019 and is a true inspiration to young women entering AI.
- LUCIA SPECIA
Dr Lucia Specia is a professor of NLP at Imperial College London and the University of Sheffield. Her work has been applied to multiple tasks such as machine translation, image captioning, quality estimation and text adaptation.
- CASSIE KOZYRKOV
Cassie is Google’s Lead data scientist and a prominent advocate of safe and reliable AI. Her focus is on applied AI and data science process architecture. She’s a huge role model for female AI professionals as she has appeared on the cover of Forbes AI Data Science issue 6 and was named as the Top Voice in Data science and analytics by LinkedIn in 2019.
- DR FEI-FEI LI
Dr Li is a prominent and well-respected member of the AI community and an inaugural Sequoia Professor in Computer science department at Stanford University. She is the co-Director of Stanford’s Human-Centered AI Institute. She held VP position at Google and chief scientist of AI/ML role at Google Cloud during her sabbatical from January 2017 to fall 2018. She has co-founded a non-profit organization named AI4ALL. She is committed to educating future generation of AI technologists, thinkers and leaders. She’s devoted towards promoting diversity in STEM and AI roles.
We understand that women are underrepresented in AI and in the tech industry. Having said that, we’re blessed to have opportunities online and offline to learn about data sciences and AI. You can earn the best AI ML Certifications from the leading USAII, MIT and the other renowned institutions, which not only arm you with a credible AI certification but also prepare you for an elevated AI career ahead. A 2020 World Economic Forum Report on Gender Parity suggests women account for only 26% of data and AI positions in the workforce. By highlighting female trailblazers and mentoring women for leadership roles, we can create equal opportunities for all. Many organizations and workforces have already begun their AI journeys and are realizing the value, gender diversity brings to offer in the field of Artificial Intelligence.