Masters in Design for Responsible Artificial Intelligence
Throughout my studies, one key question emerged: How can AI serve everyone, not just a privileged few? The answer lies in several core principles:
- Accessibility & Inclusivity – AI must work for all, regardless of disabilities, culture, or digital literacy. Design can either remove or reinforce barriers.
- Database Transparency – The quality of AI relies on representative data. If certain groups are left out, biases emerge.
- Risk Analysis & Management – Ethical AI requires constant evaluation of biases and unintended consequences. Transparency and mitigation strategies are essential.
- Human-Centered AI – AI should empower users, not replace them. Users must always feel in control.
These principles shaped my approach to AI projects, making responsibility a core design value.
Looking Ahead: The Future of Responsible AI in My Work
My journey continues. Moving forward, I aim to:
- Advocate for human-centered AI design in my work.
- Continue researching AI ethics and risk management, ensuring transparency and fairness.
- Embed accessibility and inclusivity in every AI-driven product I design.
AI isn’t just about algorithms; it’s about people. And designing for people means designing responsibly.