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July 16, 2025

Shaping the Future: Inclusive AI, Real-World Impact and Human-Centered Design

By Raquel Bolling

What Is AI?

Artificial Intelligence (AI) refers to the ability of computers and machines to perform tasks that typically require human intelligence, such as reasoning, problem-solving, learning, decision-making, creativity, and autonomy. From voice assistants to predictive text and real-time analytics, AI is becoming a seamless part of how we work and live every day.

Why Celebrate AI’s Impact?

Throughout history, new technologies have brought disruption and transformation. Each industrial revolution, from steam to electricity to computing, has challenged the way we live and work.

Today, AI represents another leap forward, offering us ways to increase efficiency, accelerate creativity, and personalize experiences across industries. If we shift our mindset to look at this as an opportunity, celebrating AI’s impact reminds us that technology is not just about tools but more about how we shape change for the better. More specifically, the future of work.

Real-World Impact and Responsibility

AI is being used to streamline operations, improve customer service, detect issues before they happen, and make smarter decisions with data. But it also raises important questions about fairness, transparency, and accountability. Responsible AI development requires thoughtful design and ongoing collaboration across disciplines. Furthermore, we must continue auditing the language models we create to validate that they perform how we intend them to.

Inclusive AI: Building with Everyone in Mind

So, what is Inclusive AI?

Inclusive AI means designing technology that considers a wide range of human needs and experiences, not just the majority.

It focuses on: reducing bias in how AI systems are trained, deployed, and evaluated; expanding access to AI tools and educational resources for broader participation; centering diverse voices in the design and decision-making processes that shape AI’s future.

These elements aren’t just ethical; They lead to stronger, more effective systems.

AI Panel Reflections

At CCAT, we’re not just watching this shift; we’re part of shaping it.

In May, I had the opportunity to speak on a panel titled “Equity & Innovation: The Role of Inclusive AI in the Future of Work,” where we tackled some of the most pressing questions at the intersection of technology and equity.

“To ensure true inclusivity in AI, we must prioritize reducing bias and discrimination and improving overall access for marginalized and underrepresented communities with diverse needs and varying access to technology."

The panel discussion highlighted how AI can either reinforce or challenge existing systems, depending on the choices made. The future of work demands intentional collaboration between humans and technology, centered on creativity, and shared responsibility. Topics included workforce development, AI bias, inclusion, and the future we’re actively building.

The discussion finished emphasizing what it takes to ensure the next wave of innovation doesn’t leave people behind, a goal that aligns closely with our mission here at CCAT.

Want to Learn More? Start with Curiosity.

There’s no one-size-fits-all approach to learning about AI.

Here are a few ways to begin adding to your digital toolbox:

  • Explore free online courses or short videos to build a solid understanding of AI fundamentals.
  • Read tech news regularly from trusted sources like MIT Technology Review or Wired to stay current.
  • Try out AI tools like ChatGPT, Claude, or Copilot to get hands-on experience with the language and logic of machine learning.

Being AI-literate doesn’t require you to be an expert. It just starts with curiosity and a willingness to learn.

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Raquel Bolling is an industrial and systems engineer, technical trainer on CCAT’s Talent & Training team, and the lead for our SmartBuildingsCT Program. Raquel is also a public speaker and passionate advocate for innovation in the built environment. Follow Raquel on LinkedIn to stay inspired.

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