We had the chance to speak with Kirsten Poon, an artificial intelligence analyst from Edmonton who helps businesses in commercial and industrial sectors apply AI to solve real challenges. She focuses on building scalable AI systems that improve efficiency, decision-making, and workflow performance.
In this interview, Kirsten Poon from Edmonton discusses how curiosity and teamwork drive true AI innovation. She explains that asking questions leads to discovery, while collaboration turns ideas into working solutions. According to her, progress in AI doesn’t just come from technology; it grows when curious minds and strong teams work together to create meaningful, lasting change.
Interviewer: Today, we’re joined by Kirsten Poon, an AI analyst from Edmonton who believes that true innovation in artificial intelligence comes from curiosity and teamwork. Thank you for being with us today.
Kirsten Poon: Thank you for having me. I’m excited to talk about how curiosity sparks new ideas in AI and how teamwork helps turn those ideas into real solutions. When teams stay curious and collaborate effectively, they can tackle complex challenges, explore new possibilities, and create AI systems that are both innovative and practical.
Interviewer: How does curiosity play a role in developing new AI ideas and systems in your work?
Kirsten Poon: Curiosity is the foundation of AI innovation. It pushes us to ask better questions and explore new approaches to old problems. When teams stay curious, they go beyond routine data patterns and discover hidden opportunities. Curiosity encourages testing, learning, and improving. It creates a mindset where people are open to failure and quick to adapt. In my view, every great AI solution begins with a simple question that curiosity inspires.
Interviewer: Why do you believe teamwork is so essential for AI innovation to succeed?
Kirsten Poon: AI innovation isn’t something one person can do alone. It needs people from different fields, data scientists, engineers, and business leaders, working together. Each person adds a unique skill, and when we combine them, we create stronger, more balanced solutions. Teamwork ensures that technology fits real needs, not just technical goals. It builds trust, communication, and shared purpose. Without teamwork, even advanced AI ideas can lose direction or fail to deliver real value.
Interviewer: How do curiosity and teamwork connect when building AI projects?
Kirsten Poon: They work hand in hand. Curiosity sparks exploration, while teamwork channels that energy into real progress. A curious mind may find a new data pattern or idea, but collaboration turns that idea into a working model. Team discussions help test assumptions and strengthen weak spots. When curiosity drives questions and teamwork provides structure, the results are both creative and practical, exactly what AI innovation needs to make an impact.
Interviewer: Can curiosity help teams overcome challenges during AI development?
Kirsten Poon: Absolutely. Curiosity makes challenges less intimidating and more interesting. Instead of seeing a problem as a roadblock, curious teams view it as an opportunity to learn. They experiment, analyze, and try different solutions until something works. This mindset keeps energy high, even when results take time. Curiosity transforms frustration into motivation, helping teams discover new methods and better algorithms that they might have missed with a rigid, fixed approach.
Interviewer: What happens when AI teams lose curiosity or stop learning?
Kirsten Poon: When curiosity fades, innovation slows. Teams may start repeating old ideas or relying on familiar models that no longer perform well. Without the drive to ask “why” or “what if,” creative problem-solving disappears. AI moves fast, and staying curious helps teams keep up. It’s not just about keeping systems current; it’s about maintaining a learning culture where everyone stays open-minded and ready to explore new tools or techniques.
Interviewer: How does teamwork influence the quality of AI solutions?
Kirsten Poon: Teamwork adds depth and balance to AI work. When people with different experiences collaborate, they challenge each other’s ideas and refine the outcome. A data expert may spot a technical issue, while a business manager can highlight a practical concern. This exchange creates stronger, more reliable systems. Good teamwork ensures that the final AI solution not only functions well but also aligns with real-world goals and human needs.
Interviewer: What do you think makes an AI team truly effective?
Kirsten Poon: An effective AI team shares curiosity, respect, and clear communication. Everyone should feel safe to question, test, and suggest improvements. Leaders play a key role by encouraging open dialogue and valuing diverse opinions. The most successful teams I’ve worked with are those that learn together and adapt quickly. They understand that innovation comes from both data and people working in sync to solve meaningful problems.
Interviewer: How can leaders encourage curiosity within AI teams?
Kirsten Poon: Leaders can encourage curiosity by creating a culture where exploration is rewarded, not feared. They should allow time for testing ideas, even if they don’t all succeed. Recognizing learning moments and small discoveries helps keep curiosity alive. Leadership also means setting an example, asking questions, seeking feedback, and showing genuine interest in new ideas. When curiosity starts from the top, it spreads naturally across the whole team.
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Interviewer: What kind of environment helps teamwork thrive in AI projects?
Kirsten Poon: Teamwork grows best in an environment built on trust and openness. People need space to share ideas freely and discuss problems honestly. When everyone feels valued, collaboration becomes natural. It’s also important to have clear goals and roles so the team moves in one direction. Regular check-ins, shared learning sessions, and open communication tools all strengthen teamwork. In AI, where projects evolve quickly, strong collaboration is essential.
Interviewer: How does curiosity help teams stay ahead in AI technology?
Kirsten Poon: Curiosity drives exploration, which keeps teams updated with the latest tools and trends. Curious professionals constantly test new algorithms, study fresh data methods, and adapt to changes in AI research. This curiosity helps teams find better solutions before problems grow. It also keeps them flexible, ready to shift direction when technology or data demands it. Staying curious means staying competitive in a fast-moving digital world.
Interviewer: How do curiosity and teamwork help balance creativity with technical accuracy in AI?
Kirsten Poon: Curiosity fuels creativity, while teamwork ensures structure and precision. A curious person might imagine a new AI model, but a strong team tests and adjusts it until it performs well. Both sides are needed, creativity opens new doors, and teamwork keeps results accurate and practical. When the two balance each other, innovation happens safely and effectively, leading to AI solutions that are both imaginative and dependable.
Interviewer: What challenges arise when curiosity and teamwork are missing in AI development?
Kirsten Poon: Without curiosity, AI work can become routine and uninspired. Without teamwork, even the best ideas struggle to take shape. Both are necessary to handle complex data and unpredictable results. Teams that lack curiosity stop learning, and those without teamwork face communication gaps. The result is slower progress and weaker outcomes. AI thrives when people share ideas openly and stay eager to explore better ways of doing things.
Interviewer: How do you maintain curiosity in long or complex AI projects?
Kirsten Poon: Keeping curiosity alive requires variety and reflection. I encourage teams to break large projects into smaller goals so they can celebrate progress. Exploring side ideas or testing new tools also keeps energy high. Reviewing what worked and what didn’t help people stay engaged. Curiosity grows when learning feels rewarding, so it’s important to keep connecting results to real-world improvements and personal growth.
Interviewer: How does teamwork help in solving unpredictable AI problems?
Kirsten Poon: AI projects often face unexpected issues, data errors, changing requirements, or technical limits. Teamwork helps manage these surprises. Different minds look at the same problem from various angles, often finding faster, smarter fixes. Sharing ideas reduces pressure and sparks creativity. Collaboration also builds confidence because the team knows they can rely on one another. It’s this collective strength that keeps AI projects moving forward.
Interviewer: What advice would you give to teams starting their first AI innovation project?
Kirsten Poon: Start with curiosity and teamwork as your foundation. Ask questions before writing code, and understand the problem deeply. Keep communication open and make learning a shared habit. Don’t rush to perfect results; focus on building a system that improves over time. When teams stay curious and collaborate closely, they not only create better AI models but also grow their collective knowledge and confidence for future challenges.
Interviewer: Do you think curiosity can be taught within AI teams?
Kirsten Poon: Curiosity can definitely be encouraged, even if it can’t be forced. People become more curious when they see value in what they’re learning. In AI, sharing discoveries, asking “what if” questions, and exploring small experiments can build curiosity naturally. Leaders can help by giving space for trial and error and highlighting how new knowledge leads to better performance. Over time, curiosity becomes part of the team’s working style.
Interviewer: How does curiosity inspire innovation in AI beyond just technology?
Kirsten Poon: Curiosity goes beyond coding, it shapes how teams think about problems. It encourages people to ask why something matters and who it helps. This leads to more human-centered AI solutions. Curiosity connects technology to real impact by challenging assumptions and exploring new uses. It also opens doors for ethical discussions and responsible design, making AI not only smarter but also more meaningful to society.
Interviewer: Kirsten Poon, what long-term benefits do curiosity and teamwork bring to AI development?
Kirsten Poon: Over time, curiosity and teamwork create lasting innovation habits. Teams that learn together adapt faster and build stronger systems. Curiosity keeps them improving, while teamwork ensures that improvements align with shared goals. This combination helps organizations stay competitive, resilient, and ready for future technologies. AI success isn’t a one-time event; it’s a continuous journey powered by people who stay curious and work well together.
Interviewer: Thank you, Kirsten Poon, for your time, honesty, and the valuable insights you’ve shared today. Your work in AI is truly inspiring, and we wish you continued success in fostering curiosity-driven, collaborative innovation.
Kirsten Poon: Thank you once again for the thoughtful questions and the opportunity to share my experience. It’s been a real pleasure. I hope some of what I’ve shared can encourage teams to embrace curiosity and teamwork in their AI projects. Wishing you and your audience all the best, and I look forward to seeing more organizations drive meaningful innovation through collaborative AI.
