🎊 AI Spotlight: Fleur Prince 🎊

We’re excited to present Fleur Prince, Communtiy Manager AI & Data Science for the Dutch National Police, and founder of AI Insights Podcast as this week’s AI Spotlight. 

Let’s dive into our interview with Fleur  and see how she is using AI.

1. Share your AI origin story

My AI journey began with a fascination for technology’s role in shaping society. With a background in international communication, I initially explored AI’s potential in marketing and community engagement.

A pivotal moment came when I co-hosted AI Insights, where I deep-dived into AI trends and ethics. Moderating panels and organizing tech events solidified my mission: bridging the gap between AI and the public.

I advocate for responsible AI adoption, ensuring accessibility for all. Now, I champion AI for good, fostering collaboration between tech experts, entrepreneurs, and changemakers to drive meaningful innovation.

2. What three AI tools have been most game changing for you? 

1. Hootsuite: This social media management platform leverages AI to streamline content creation, scheduling, and audience engagement across multiple channels. Its AI assistant, Copilot, aids in crafting effective social media strategies, enhancing our online presence.   2. Synerise: An AI-driven business intelligence ecosystem, Synerise analyzes consumer behavior in real-time, enabling personalized marketing campaigns and efficient customer relationship management. Its robust data processing capabilities have significantly improved our decision-making processes.   3. HubSpot’s Content Hub: This AI-powered content marketing platform assists in creating, personalizing, and distributing content across various channels. Its integration with HubSpot’s CRM allows for tailored content experiences based on customer data, optimizing our content strategy and enhancing marketing efficiency.  

3. If you were just starting your AI journey today where would you start? 

1. Foundational Learning: Begin with accessible courses that introduce AI concepts without requiring extensive technical backgrounds. The “Elements of AI” course, developed by the University of Helsinki and MinnaLearn, offers a comprehensive introduction to AI fundamentals. 

2. Programming Skills: Acquire proficiency in programming languages commonly used in AI, such as Python. Platforms like Coursera and edX offer beginner-friendly courses in Python programming, which is essential for implementing AI algorithms. 3. Specialized Courses: Once you have a grasp of the basics, delve deeper into specific AI domains. DeepLearning.AI, founded by Andrew Ng, provides specialized courses in machine learning and deep learning, catering to various expertise levels.   4. Hands-on Projects: Apply your knowledge through practical projects. Utilizing platforms like Kaggle allows you to work on real-world datasets, participate in competitions, and collaborate with a community of AI enthusiasts. 5. Stay Updated: AI is a rapidly evolving field. Regularly read reputable AI journals, follow influential AI researchers, and participate in relevant forums to keep abreast of the latest developments. 6. Ethical Considerations: Understand the ethical implications of AI. Engaging with literature that critically examines AI’s societal impact, such as “AI Snake Oil” by Arvind Narayanan and Sayash Kapoor, can provide valuable insights.  

4. Share the spotlight: Name 3+ women leading in AI we should all follow. 

1. Joy Buolamwini: A computer scientist and digital activist, Buolamwini founded the Algorithmic Justice League to combat bias in AI systems. Her research has illuminated disparities in facial recognition technologies, emphasizing the need for ethical AI development. 2. Joëlle Pineau: As the global Vice President of Meta AI (formerly Facebook AI Research) and an Associate Professor at McGill University, Pineau specializes in machine learning and robotics. Her work includes developing algorithms for complex domains and advocating for reproducible AI research.   3. Fei-Fei Li: A renowned computer scientist, Li co-created ImageNet, a pivotal dataset in visual object recognition research. As a professor at Stanford University, she continues to influence AI through her research and advocacy for diversity in technology.

5. As a woman in AI, what do you want our allies to know? 

As a woman in AI, I value the support of allies in fostering an inclusive and equitable environment. Here are key insights for allies: 1. Acknowledge Historical Contributions: Recognize the pivotal roles women have played in technology’s evolution. Figures like Ada Lovelace, Grace Hopper, and Radia Perlman have significantly shaped the field.   2. Implement Micro-Feminism: Engage in daily supportive actions, such as highlighting women’s contributions in meetings, using inclusive language, and advocating for equitable pay and work-life balance. These “micro-feminist” acts create a more inclusive workplace.   3. Support Initiatives Promoting Diversity: Encourage participation in programs like the Women in Data Science (WiDS) Initiative, which aims to achieve 30% representation for women in data science by 2030.   4. Champion Ethical AI Practices: Support efforts to address biases in AI systems. Advocates like Joy Buolamwini have highlighted the need for equitable AI development.   5. Mentorship and Representation: Engage in mentorship programs and promote visible role models. Leaders like Grace Yee emphasize the importance of support systems and authentic career paths for women’s advancement in tech.  

Want to learn more from Fleur Prince about GenZ and AI? Check out her insights during her guest appearance on Revenue Remix with Summer Poletti:

Want to be the next in AI Spotlight? It’s a great opportunity to share your voice with our community!

Fill out the WxAI AI Spotlight Nomination Form for your chance to step into the AI Spotlight and to share your voice with the Women And AI community.