Machine learning.

If there is one technology that piques my interests the most, it is definitely machine learning. Several of my projects revolve around the theme of human centred AI. I like to imagine how human relationship with ML could be different.

Machine learning.

If there is one technology that piques my interests the most, it is definitely machine learning. Several of my projects revolve around the theme of human centred AI. I like to imagine how human relationship with ML could be different.

Designerly experiments.

I experiment with my ideas about ML through hands-on engagements. When I wanted to explore gradually built trust and understanding with ML in a home setting, I’ve built a trainable lamp and left it at my friends homes to see how they are going to use it. But to even get to this idea, I’ve conducted smaller experiments. Co-design session. Low fidelity prototypes. Training my laptop to change the colour of the wallpaper every time it hears me curse. Serious play!

UX perspectives.

My experiments are always aimed to help me form a design perspective on ML. This well-established field still is astonishingly underdeveloped from a user experience perspective. In between projects at IDEO, I teamed up with Grishma Rao to do a series of AI experiments on creative spaces. Afterwards, we organised a share with the entire office on prototyping with ML.

Theory and capabilities.

I am not a developer and nowhere near a person who develops new types of ML algorithms. In my projects I have been using simple open-source hardware and software. But I do put effort into constantly educating myself about the theory and capabilities of ML, from sneaking into computer science lectures at the university to online courses. Being kind of a nerd helps.