Only one out of every four academics publishing on AI worldwide in 2022 was a woman, according to Deloitte, indicating that men continue to dominate AI research. Although more and more papers are being co-authored by women, the gender gap between men and women in artificial intelligence continues to worsen, with women contributing to only around half of all publications.

But having said that, the idea that males are ‘ahead’ of women in artificial intelligence must be dispelled. AI is still in its early stages, with just a small number of individuals holding prominent positions in the area. Consequently, many companies and their employees are only starting out on this adventure. All of us are still in the learning phase; when it comes to artificial intelligence, nobody has any experience.

AiThority Original Insights

Katie (Jeffreys) King, Top 10 AI Influencer 2023

“AI is a transformational family of technology, encompassing both everyday AI which improves productivity, and game changing AI which impacts creativity, new products, new business services etc. I spend my time advising companies worldwide, and delivering Keynotes. The IP from both my books, and my continued daily work, prove the importance for all of us to be on a journey of continuous learning. We cannot remain static as the world of AI moves so fast. Most promising is the vast potential of AI models in promoting economic growth, propelling scientific advances, and offering wide range of public benefits. Working on the APPG AI, I understand the security risks that could arise from the irresponsible development and use of AI. I encourage my clients and audiences to play a proactive role in this, working with their trade bodies and government. My pro bono work focuses on my Leaders of Tomorrow in Tech school AI programme which is helping to close the gap between what our young people learn in school today and the careers they will pursue in the future.”

“My advice to anyone engaging with AI is to embrace a multidisciplinary approach. Understanding AI requires more than technical know-how; it demands an appreciation of ethical, social, and philosophical dimensions. AI is not just about algorithms and data; it’s about the human experience and how technology augments it. As we navigate this transformative era, let’s foster a collaborative environment where technology serves humanity, ensuring AI is developed and used responsibly, ethically, and inclusively. Remember, AI is a tool, and its impact depends on how we wield it. Let’s use it to create a more equitable, efficient, and empathetic world.”

Sally Eaves, Forbes Technology Council

“The intersection of Enterprise AI and Sustainability presents an opportunity to create shared value – but its actualisation is a 1st mile challenge not the reverse: in today’s ‘Age of (Gen)AI’ data and digital infrastructure remain your differentiators! For AI to deliver on Sustainability outcomes, for example using models to optimise the energy efficiency of physical assets and enable sustainable and ESG compliant decision making, including the sourcing and verification of suppliers, AI must deliver on its own Sustainability too. And this can be a challenge for such data and compute-intensive AI workloads, especially in respect to GenerativeAI – and one which is driving-up densities within data centres. This brings digital infrastructure centre stage, for example, the need to move beyond air to liquid-cooled solutions such as direct-to-chip to innovate data centre capacity, alongside processor and chipset innovation focused on AI applications, and attention to secure open ecosystem collaboration to advance both transformation and standards, for example project Open19.

And this now brings us back to data and workflows too! Attention to data visibility, orchestration, integration, simplification, consistency, governance and security is absolutely vital to reduce friction and delay between insights and action and help move beyond enabling productivity outcomes through the use of (Gen)AI, towards more holistic business and shared value outcomes. Something ever more critical in the context of accelerating ESG compliance requirements too. So, whilst 2023 was more of a year of GenAI use cases centred around content, marketing and legal tools, I anticipate 2024 as the year of Enterprise GenAI with Sustainability considerations increasingly baked-in by design. Or in other words, I believe that the intersection of Enterprise AI and Sustainability is absolutely one that must be anchored by a focus on the data and digital infrastructure to empower it!”

The Top 10 Female AI Influencers for 2024

Kate Crawford, Microsoft

The FATE group at Microsoft was co-founded by Kate Crawford, a prominent expert on the social consequences of artificial intelligence. In addition to her positions as an Honorary Professor at UNSW and Visiting Professor at MIT’s Centre for Civic Media, she holds the position of distinguished Research Professor at New York University. She has made a name for herself by investigating the societal effects of AI, machine learning, and large-scale data systems. Notable periodicals that have published her work include Harper’s Magazine, The Atlantic, The Wall Street Journal, and The New York Times. Nature, New Media & Society, Science, and others have published her scholarly work. Crawford is a frequent speaker at prominent AI conferences and is well-recognized as an AI influencer. The White House has also benefited from her advice. She helped establish New York University’s AI Now Institute in 2017, which aims to study the societal effects of artificial intelligence.

Claire Delaunay, CTO Farm-ng, Ex VP Nvidia and Co-founder at Otto

Among the many illustrious tech companies that Claire Delaunay has led are Google, Uber, and Nvidia. Delaunay is currently employed by Nvidia, where she is devoted to developing infrastructure that will allow for the widespread use of autonomous machines. She oversees the Isaac robotics effort and is in charge of the team tasked with making Isaac available to roboticists and developers worldwide. After Uber bought her autonomous trucking business Otto—which she co-founded with Anthony Levandowski—Delaunay became its head of engineering. She then joined Nvidia. Beautiful and Robotics Valley were both founded by her while she was Google’s robotics program lead. From small businesses and academic institutions to large corporations, she has managed teams focused on robotics and autonomous vehicles over the past fifteen years.

Allie Miller, Top AI leader, Ex-AWS

No one does more than Allie Miller when it comes to machine learning, business, and giving speeches. She is an AI specialist in three domains: data, computer vision (CV), and natural language processing (NLP). In addition to Dartmouth and Wharton, Miller also attended Harvard-Westlake. She is now the head of machine learning business development, startups, and venture capital at AWS, where she works for Amazon. Miller has experience working for IBM, where she oversaw multiple teams and contributed to the creation of cutting-edge AI products. Miller is committed to creating a more diverse and inclusive artificial intelligence sector through her innovative solutions to the most pressing technological challenges of our day.

Cassie Kozyrkov, CEO at Data Scientific, Google’s first Chief Decision Scientist

Daliana Liu, Linkedin Top Voice,250k+ Followers, Ex-Amazon Data Scientist

With a background spanning more than seven years, Daliana now works as a senior data scientist for Amazon AI. She shares her thoughts on data science jobs, interview strategies, and the resources that help her learn. She is happy to tell us about her triumphs and her downfalls so that we can learn from her experiences and prevent them.

Fei-Fei Li, AI Researcher & Professor, Stanford University

Computer science professor at Stanford University. The Fei-FeiThe line in her lengthy résumé indicates Li’s dedication to using AI for good: The ImageNet project, which I started in 2007 while teaching at Princeton University, is a database of millions of tagged photographs that altered the course of artificial intelligence. She joined Google Cloud in 2017 and quickly rose through the ranks to become VP of artificial intelligence and machine learning. She started the Human-Centred AI Institute (HAI) at Stanford University and was a co-founder of the well-known nonprofit AI4ALL. At the Stanford Vision and Learning Lab, where she collaborates with students and faculty from across the world to develop smart algorithms that enable computers and robots to mimic human vision and cognition, she also acts as co-principal investigator and co-director. Li was named an independent director to Twitter’s board of directors last year. The social networking site announced that Li would be joining the board with valuable insights thanks to his background in artificial intelligence.

Shivon Zilis, OpenAI and Neuralink. Partner and founding member at Bloomberg Beta

The research lab OpenAI, responsible for innovations like GPT-3, has the youngest board member, Shivon Zilis. Zilis prioritizes important efforts in Neuralink, Elon Musk’s endeavor to combine the human brain with digital technologies. She still provides help to the various artificial intelligence (AI) startups in the Bloomberg Beta portfolio, where she was a partner and founder in the past. Zilis has been an integral part of CDL AI and CDL Quantum Machine Learning since their inception. After finishing her degree at Yale, she became a member of C100, served on the boards of the Vector Institute for Artificial Intelligence and Alberta Machine Intelligence Institute, and was a Fellow at the Creative Destruction Lab, an incubator for machine learning at the University of Toronto. She was recognized as one of LinkedIn’s 35 Under 35 and Forbes’ 30 Under 30.

Nichol Bradford, Executive in Residence AI

CEO and trailblazer in revolutionary technology Nichol Bradford is another trailblazing woman in artificial intelligence. Bradford has accomplished the following over his career:

• Directed the Chinese operations of Blizzard Entertainment’s games, including Starcraft, Diablo III, and World of Warcraft.
• Held positions at Vivendi, Disney, and Blizzard.
• The Willow Group was founded by and is headed by this individual.
• Is a co-founder and current executive director of the Transformative Technology Lab.
• Participated in the Activision-Blizzard merger as a member of the Vivendi Games team.

Among Black women working in the video game industry, Bradford was formerly regarded to be the most senior. Considering that there are seven billion individuals in the world, Bradford argues that we need additional help and understanding to close the gender gap in technology.

Alicia Kavelaars, Co-founder and Chief Technology Officer at OffWorld

At OffWorld Inc., Alicia serves as both a co-founder and chief technologist. With a background of more than 15 years in the aerospace business, she has developed and launched systems for NASA, NOAA, and the telecoms sector with great success. Alicia moved to New Space in 2015 to be a part of their innovative, state-of-the-art programs. Alicia has been at OffWorld for a while, and she’s been in charge of developing AI-based tough robots that will be used in deep underground mines, one of the harshest places on Earth, before swarm robotic space missions. In addition to her BSc in Theoretical Physics from UAM, Spain, Alicia has an MSc and PhD from Stanford University.

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 Samantha Edds, Lead Data Scientist at Yelp 

The app Yelp uses crowdsourcing to get feedback from customers, and Samantha Edds is in charge of data science for the company. Edhas experience collaborating with early-stage businesses, organizations, and companies. Her background is in global studies and development, and she is a famous statistician. Up until February 2020, Edds was a senior data scientist at Bunch.ai as well. Data science is her forte, and she possesses a master’s degree in applied statistics. To make sure they’re heading in the right direction, she aids businesses in uncovering crucial facts about their operations.

Also Read: Top 10 CIO Influence Interviews with Influential Women in Tech

Wrapping Up