In fall 2020, I was invited to teach a small course on Design Thinking for AI as part of the Business Innovation program that I myself graduated from. The 3rd-year BA students were well acquainted with the design thinking methodology and had little to no knowledge of AI (beyond the headlines) or other design disciplines such as UX or interaction design.

Thinking up the Design Thinking for AI course

I had done plenty of talks around the topic in the aftermath of launching the AI meets Design toolkit in 2019, but this was the first time putting it all together into one program. …

This is the 3rd and last part in the “UX challenges for AI/ML products” series. Read Part 1: Trust & Transparency and Part 2: User Autonomy & Control.

Theme 3: Value Alignment

Deploying AI systems across layers of society will affect the lives of individuals and groups across the globe in different and sometimes unexpected ways. Operating at an unprecedented scale and complexity, we must be mindful of biases, risks, system dynamics, and consequences, to make thoughtful trade-offs in our AI applications. Striving for value alignment between man and machine (and those operating the machine!) by integrating ethics at the core of our projects…

This is the 2nd part in the “UX challenges for AI/ML products” series. Read Part 1 on Trust & Transparency here.

Theme 2: User Feedback & Control

The users must feel like they’re in charge of the system. People have justified concerns about giving up agency to (semi-) autonomous systems and sharing the personal data required to make them work well. Respecting the human need for autonomy, users need a way to exercise consent and control over the system and their data based on their individual and contextual needs.

4. MACHINE TEACHING + USER FEEDBACK

Allowing the user to teach the machine with implicit and explicit feedback loops and collecting direct data…

Design considerations in Human-AI interactions. Part 1 of the series.

This article was originally developed and released as Chapter 4 of the AI-Driven Design e-book series ‘Design Challenges in Machine Learning Products’ in collaboration with AWWWARDS, Adyen, and Joel van Bodegraven available for download here.

I repurposed it into a Medium article so it can be a ‘living document’ I can edit and add to as I learn, develop new insights, and find better examples.

Introduction

Every design material comes with unique opportunities and challenges. In the same way that designing an event poster is different from designing a mobile app, designing AI/ML-driven applications is different from designing mobile apps.

As…

Spoiler alert: 11 works in the 131.000 item collection are by non-binary artists, with 9 of those being in the new media art department

Being asked to explore any topic we were interested in for my Data Science class as part of the MA Data-Driven Design, I stumbled upon this official MoMa dataset outlining 138.185 artworks from their collection. Surprised to find nobody had published any analysis or visualizations of it before, my decision was quickly made. …

Global driving forces (showing up as blue projections) representing the global agenda in the debate alongside nations.

“The Utopia Compass” — a Speculative Design film by Viraj Joshi and Nadia Piet in response to the UN & Design Futures open call on Futuring Peace

In August 2020, the United Nations Department of Political and Peacebuilding Affairs and Design Futures Initiative partnered on an open call inviting (speculative) visions for future peacebuilding. Having just finished our collaborative Postcard from the Future, Viraj and I took this opportunity to turn our thoughts and criticisms of the world into something constructive.

We feel excited and honored to be recognized amongst the Honourable / Noteworthy Mentions for the open call. In…

A no-code and step-by-step account of training a Generative Adversarial Network (GAN) to generate places that don’t exist

Both Nadia Domide’s and my (yes we’re both called Nadia haha) day-to-day work is focussed on Artificial Intelligence and Design. Intrigued by creative AI practices, we decided to not leave this excitement to client requests and to start experimenting.

In this article, we’ll walk you through the entire process of how we created our first generative AI visuals using Runway ML.

Runway: ML for Artists

Runway ML is a free software making Machine Learning accessible to artists and creatives. They offer the option to (re-)train your own models such as StyleGAN which we were most eager to try out. Around the time we were…

At Bit, we have a range of methods and tools to explore opportunities for tech-driven innovation with our teams and clients. One of them is our tech cards. We use these cards as prompts to think about the technologies as superpowers to solve your challenges and as conversation starters to explore (near-)future opportunities.

To support you in your innovation journey, we decided to make them available to all! You can brainstorm around emerging tech yourself and with your teams at any time — also when we’re not around.

Why use brainstorm cards?

Before we look at the value of brainstorm cards, let’s get on…

The start of a meeting can be a little uncomfortable. It feels rude to jump straight into the agenda without a bit of chatter, but you’re also trying to make the most of a limited time.

At in-person meetings, the first few minutes usually fill themselves up with enjoyable small talk. But the virtual equivalent and our new standard doesn’t cater to that as naturally.

So at Bit we asked: how might we open our virtual meetings in a fun way? Inviting everyone to arrive and connect socially without taking up too much time?

Having experimented over the past weeks…

A taxonomy of practices emerging at the intersection of AI and design.

Shaping the world around us

The role of a designer is to intentionally shape the world around us with the resources we have available. That world is increasingly shaped by data sets, algorithms, and pre-trained models.

As Artificial Intelligence(AI)/Machine Learning(ML) is finding its way into every industry and area of life, we can no longer afford to limit the development of these systems to the domain of engineering. As people are widely affected, both positively and negatively, we no longer get to excuse ourselves because it’s ‘too’ technical.

You may ignore technological developments and continue your design practice as-is for now. But if you recognize…

Nadia Piet

Designer & researcher focussed on AI/ML, data, digital culture & the human condition mediated through computing

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