We asked Himel about what his time and contribution to DataEthics4All meant to him and here’s what he said:
Q1. What inspired you to get involved with DataEthics4All Foundation, and how has the experience helped you grow personally or professionally?
When I was considering how I could make a meaningful contribution to society, I felt drawn to the idea of volunteering. I had two criteria in mind: first, I wanted to align with an organization whose mission resonated with my values, and second, I sought a role where I could leverage my skills effectively. DataEthics4All Foundation’s commitment to democratizing AI and reducing barriers for high school students felt like a perfect fit.
My involvement with the foundation has been incredibly rewarding. Personally, it has deepened my understanding of the ethical implications of AI and emphasized the importance of integrating ethics into research from the outset. Professionally, the experience of developing educational content for high school students challenged me to distill complex concepts into intuitive explanations, refining my own understanding in the process.
Q2. What is one meaningful project or moment you’ve been part of during your time with DataEthics4All Foundation, and why does it stand out to you?
While developing the course was a rewarding experience, the standout moment for me at DataEthics4All Foundation was conducting the live workshop for the AI Championship. Teaching students from around the world felt like a significant responsibility, and the live interaction made it especially inspiring. It was meaningful to realize that my representation of the field could influence their understanding and perception of various concepts in AI, potentially sparking a lifelong interest in ethical AI development.
Q3. How do you see the work you’re doing at DataEthics4All Foundation contributing to a more ethical future in tech?
I see my work at DataEthics4All Foundation as an opportunity to raise awareness and educate others, including myself, about the ethical considerations in AI. The key is intentionality—treating ethical implications as a core component rather than an afterthought in AI development. I hope the students participating in these courses gain a broader perspective on the importance, intricacies, and complexities of building ethical AI systems. If even a few of them choose careers in this field, it would be a significant step towards creating a more ethical future in tech.