Loading…
Please a moment to fill out the conference survey. It will help us make 2019’s conference even better!
View analytic
Thursday, May 10 • 5:15pm - 6:00pm
Learning Machine Learning: Implications for Design and UX

Sign up or log in to save this to your schedule and see who's attending!

Machine Learning (ML) is a mainstay science that is used to power personalization, recommendations, language translations, and other value additions to user experiences. Rather than relying on a set of logical defined relationships or hard-coded associations, ML algorithms learn from patterns in data without being manually programmed. It is changing the way we think and talk about product experiences. ML presents new opportunities for the designer, while adding a layer of complexity around user trust and control.

In this session, we unpack what machine learning is, what the core concepts of machine learning are and how it works. As we explore different kinds of learning techniques, we build a vocabulary that enables us, the design community, to engage with ML engineers and developers.

We don’t just stop there — we delve deeper into the gotchas of machine learning, specifically overfitting, fairness, bias and interpretability. We explore what these are, how they come into being, and why they matter. What do they mean for the design process? How do they emerge in the end user experience? How should we design user experiences that are no longer linear, and are instead a function of a complex ecosystem of interactions between users, interfaces, data, algorithms and environments?

Speakers
avatar for Mahima Pushkarna

Mahima Pushkarna

Visual Designer, Google
Mahima is a Visual Designer in the Big Picture Visualization Group at Google Brain, where she designs digital products and interfaces in Machine Learning and Artificial Intelligence. As a part of Google's People + AI Research Initiative, Mahima explores the relationship between d... Read More →


Thursday May 10, 2018 5:15pm - 6:00pm
Republic A/B

Attendees (186)