About
A little about us, why we created this website, and how to get in touch.
Who We Are
We are Sydney Hughes and Erin Hughes, two University of Georgia emerging media master’s students who share a last name (though no relation) and a keen interest in artificial intelligence (AI).
That’s not all we have in common. Sydney works as a designer in secondary education; Erin works as a designer in higher ed. While neither of us teaches in a classroom, our proximity to those who do has given us a unique perspective and insight into the potential for generative AI to benefit educators and students.
We believe integrating AI into K-12 educational practices and systems can empower teachers, enhance learning experiences, and optimize educational outcomes. That’s why we chose to make AI in education the focal point of our master’s capstone project.
When we began our research for this project, we discovered that teachers, too, have an interest in AI. However, most reported a lack of professional development opportunities related to it. Thus, we set about designing a solution, which we now call Explaiined.
Explaiined equips teachers with the relevant tools, information, and support they need to enhance their teaching practices and student outcomes through the effective use of AI in classrooms. How? Our platform differentiates itself by:
- Catering to educators exclusively.
- Demystifying AI and AI-powered tools.
- Providing opportunities for collaboration.
- Offering high-quality, current content.
- Addressing ethical concerns about AI.
- Identifying free and low-cost resources.
We welcome all feedback on Explaiined. Please use the contact form below to drop us a line.



A Note About Our Images
Many of explaiined.com’s images (excluding the background, our logo, and screenshots used in the Implement activities) are sourced from the Google DeepMind Visualising AI project. The project commissions artists from all over the world to share their interpretations of AI based on conversations with scientists, engineers, and ethicists at DeepMind. Visualizing AI is intended to help counterbalance the proliferation of misleading and stereotypical representations of AI by offering more diverse and creative images, thereby making AI itself more accessible to all.