Tag: Design

Designing Machine Learning Products Anthropologically: Building Relatable Machine Learning

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How do we build relatable machine learning models that regular people can understand? This is a presentation about how design principles apply to the development of machine learning systems. Too often in data science, machine learning software is not built with regular people who will interact with it in mind.

I argue that in order to make machine learning software relatable, we need to use design thinking to intentionally build in mechanisms for users to form their own mental models of how the machine learning software works. Failing to include theses helps cultivate the common sense that machine learning is a black box for users.

I gave three different versions of this talk at Quant UX Con on June 8th, 2022, the Royal Institute of Anthropology’s annual conference on June 10th, 2022, and Google’s AI + Design Tooling Research Symposium on August 5th, 2022.

I hope you find it interesting and feel free to share any thoughts you might have.

Thank you for the conference and talk organizers for making this happen, and I appreciate all the insightful conversations I had about the role of design thinking in building relatable machine learning.

Data Science and Game Design: Conversation with Clayton Sisson (Part 3 of 3)

During the final part of our conversation, Clayton discusses his journey from game design to data science, including what inspired them to study data science and what it has been like learning and working in this new field. Clayton Sisson is a game designer and aspiring data scientist, passionate about how data science can shed light on human behavior.

This is the next installment in my Interview Series. During Over the course of the three parts of our conversation, we discuss how game design thinking can help develop usable and useful machine learning products within data science.

Here is Part 1 and Part 2 of our interview.

Resources:

Data Science and Game Design: Conversation with Clayton Sisson (Part 2 of 3)

In Part 2, we discuss how to apply the design concept shikake to machine learning systems. Clayton Sisson is a game designer and aspiring data scientist, passionate about how data science can shed light on human behavior.

This is the next installment in my Interview Series. During Over the course of the three parts of our conversation, we discuss how game design thinking can help develop usable and useful machine learning products within data science.

Here is Part 1 and Part 3 of our interview.

Resources:

Data Science and Game Design: Conversation with Clayton Sisson (Part 1 of 3)

Clayton Sisson is a game designer and aspiring data scientist, passionate about how data science can shed light on human behavior. For the next installment of my Interview Series, we discuss ways to use game design and UX design to develop usable and useful machine learning products and their experiences transitioning from design into data science. In this first part, we discuss the connections between data science and game design.

Here is Part 2 and Part 3 of our interview.

Resources: