Nebraska.Code() Sessions tagged ai

The Neuroscience of Intuitive Design

What do economics, neuroscience, and web usability have in common? Come with me into the intersection of Daniel Kannemahn's Nobel-winning work on how our brains think, Ray Kurtzweil's pioneering research in machine-learning, and Steve Krug's brilliant edict "Don't make me think!"

What does "intuitive" mean to the wetware in your skull? How does intuition feel? How does it work? Can you draw a picture of it? If you love the nerdy science behind the seemingly simple things humans do, this is your talk.

Speaker

Adam Erickson

Adam Erickson

Sr. Architect, DMSi

An AI with an Agenda: How Our Cognitive Biases Leak Into Machine Learning

In the glorious AI-assisted future, all decisions are objective and perfect, and there’s no such thing as cognitive biases. That’s why we created AI and machine learning, right? Because humans can make mistakes, and computers are perfect. Well, there’s some bad news: humans make those AIs and machine learning models, and as a result humanity’s biases and missteps can subtly work their way into our AI and models.

All hope isn’t lost, though! In this talk you’ll learn how science and statistics have already solved some of these problems and how a robust awareness of cognitive biases can help with many of the rest. Come learn what else we can do to protect ourselves from these old mistakes, because we owe it to the people who’ll rely on our algorithms to deliver the best possible intelligence!

Speaker

Arthur Doler

Arthur Doler

Senior Software Engineer, Aviture