An AI engineer creates AI models by combining machine learning algorithms and deep learning neural networks to generate business insights that are used to make business decisions that affect the entire organization. Depending on the goals they want to achieve, these engineers can create weak or strong AIs. AI engineers are well-versed in programming, software engineering, and data science. They employ various tools and techniques to process data and develop and maintain AI systems. Gender norms are changing and women can now be seen in almost every field. Women are not inferior to men; we have incredible and game-changing women in AI, machine learning, and data science.
1.Dr.Fei-Fei Li
Dr.Fei-Fei Li is a Computer Science Department Professor at Stanford University and the Co-Director of Stanford’s Human-Centred AI Institute. During her sabbatical, she was Vice President of Google and Chief Scientist of AI/ML at Google Cloud. Her research interests include- Machine learning, deep learning, computer vision, and cognitive and computational neurosciences. Her most significant accomplishment was co-founding AI4ALL, a non-profit organization dedicated to educating the next generation of AI technologists, thinkers, and leaders, and promoting diversity in STEM and AI roles.
2. Silvia Chiappa
Silvia Chiappa previously worked at Microsoft Research Cambridge, the University of Cambridge’s Statistical Laboratory, and the Max-Planck Institute for Biological Cybernetics. She has a Ph.D. in artificial intelligence and is currently a senior researcher at Google DeepMind. Silvia Chiappa’s research areas include Bayesian reasoning, time-series models, graphical models, reinforcement learning, approximate inference, and deep learning. She co-wrote several papers on various topics and was one of the editors for the book Bayesian Time Series Models.
3. Cassie Kozyrkov
She was named the LinkedIn #1 Top Voice in Data Science and Analytics in 2019 and appeared on the cover of the Forbes AI data science issue. Cassie Kozyrkov is a vocal supporter of trustworthy AI and also Google’s lead data scientist. Cassie pioneered the field of decision intelligence at Google, combining social science, decision theory, and managerial science with data science to improve our understanding of how actions lead to outcomes.
4. Carla Gentry
She is a very experienced lady who has worked for many well-known companies such as Johnson and Johnson, Hershey, Kraft, and others. She has also worked with several Fortune 500 companies, and she is capable of deciphering business requirements and returning insight that measures spending, benefit, and patterns from massively muddled databases. You may have heard of her because she is a social media influencer, and her posts are always worth following for valuable information.
5. Lucia Specia
Dr. Lucia Specia is a Natural Language Processing Professor at Imperial College London and the University of Sheffield. Her research is concerned with various aspects of data-driven approaches to language processing, with a particular emphasis on multimodal and multilingual context models. She applies her work to various tasks, including machine translation, image captioning, quality estimation, and text adaptation. She is currently involved in several machine translation research projects, such as multilingual video captioning and text adaptation, which will undoubtedly help to advance AI-driven technology in this field.
6. Cynthia Breazeal
Cynthia Breazeal is Jibo, Inc.’s founder and Chief Scientist. This company is a pioneer in social robotics and human-robot interaction, and it invests heavily in social robot development. Her research focuses on developing standards, methods, and technologies for socially intelligent individual robots that can interact and communicate with humans on human-centric terms. She is also an Associate Professor of Media Arts and Science at MIT, where she founded and directed the Personal Robots Group of the Media Lab. Sociable Robots is one of her notable contributions, and she has published over 100 peer-reviewed articles.
7. Allie Miller
As Amazon’s US Head of AI Market Growth for Start-ups and Venture Capital, Allie Miller collaborates with some of the world’s largest AI companies (AWS). She previously oversaw large-scale product development at IBM, where she used computer vision, conversation, data, and regulation to create the company’s first artificial intelligence device. Allie is also the founder of The AI Pipeline, a non-profit organization dedicated to increasing women’s equity in machine learning. She also serves as a national ambassador for the American Association for the Advancement of Science (AAAS) and as an ambassador for the 10,000-member ‘Advancing Women in Product’ organization.
8. Nikita Johnson
Nikita Johnson works for RE•WORK, an event management company. The organisation, which is led by a team that is predominantly made up of women, has some experience organizing events that bring together cutting-edge innovation, cutting-edge science, and entrepreneurship. She founded the organization with the primary goal of integrating emerging innovation with smart businesses to address global issues and shape a better future. Also, she has a background in international development and urbanization.
9. Elizabeth Adams
As a member of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, she contributes to developing global standards for AI Nudging and Emotion AI. She is dedicated to incorporating ethics and human-centeredness into future AI systems. She is a technology integrator who specialising in cyber security, artificial intelligence ethics, and AI governance. She also teaches, consults, and writes passionately about the critical topics of Diversity & Inclusion in AI.
10. Joy Buolamwini
Joy’s groundbreaking work on algorithmic bias as a graduate student revealed the racial and gender biases embedded in facial recognition systems. As a result, Amazon, Microsoft, and IBM suspended their facial recognition services, recognizing that the technology was not yet ready for widespread use. For those interested in this topic, her work is documented as Coded Bias. She is at the forefront of a growing movement to identify and address the social consequences of artificial intelligence (AI), which she promotes through her non-profit organization, the Algorithmic Justice League.
