AI
My AI work explores the intersection between technology and humanity, focusing not just on what models do, but why they do it. I'm deeply interested in the data feeding AI systems, the ethical complexities surrounding their use, and how we define success in contexts where outcomes matter deeply.
How do we build models that are ethical by design? Can we truly anticipate how they'll be used in the future? And crucially, how do we measure outcomes, ensuring these powerful tools actually serve vulnerable people and communities, rather than just placating "the system"?
Taking inspiration from my more formal work, I'm also fascinated by the nature of inspiration itself—how 'creative' can AI models truly be, and what is the value of automated or AI-driven work?
- AI
Carrying Your Own MIMIR – Knowledge That Meets You Where You Are
Kaj Siebert •At the intersection of myth and modern technology lies MIMIR, a whimsical project I've been developing, inspired by the Norse figure renowned for his boundless wisdom. In legend, Odin carried Mímir’s severed head to receive secret counsel; in our ag… - AI
AI as a Virtual Colleague: Embracing Neurodiversity and Navigating the Risks of 'Shadow Intelligence'
Kaj Siebert •In the last couple of years I've found myself changing how I use AI from what started as a somewhat novelty replacement for Google, to now treating it as a virtual colleague. Instead of simply using it to answer questions and look up (make up?) fact… - AI
AI and Creativity: Inspiration, Reuse, and the Value of a Copy
Kaj Siebert •Inspiration rarely arrives in a vacuum. Whether it's a young musician riffing on a jazz standard, a painter reinterpreting a classical motif, or a coder learning from open-source projects, creativity often begins with reuse. The act of drawing fro… - AI
Labour Reimagined: From Hand to Automation
Kaj Siebert •In recent years, AI has become a familiar tool in many workplaces, helping with tasks from drafting emails to writing code. This rapid progress raises an intriguing question for many of us: "Could AI eventually become better at our jobs than we are…