Webinar: Building User Trust

Hello,

We are back. This time, it will be a webinar, organised in partnership with Amsterdam Data Science. https://www.meetup.com/nl-NL/Amsterdam-Data-Science/

𝗔𝗱𝗺𝗶𝘁𝘁𝗶𝗻𝗴 𝗠𝗶𝘀𝘁𝗮𝗸𝗲𝘀: 𝗦𝗵𝗼𝘄𝗶𝗻𝗴 𝗔𝗜 𝗘𝗿𝗿𝗼𝗿𝘀 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗨𝘀𝗲𝗿 𝗧𝗿𝘂𝘀𝘁 by using Data Visualization

In this webinar we aim to explore how visualizations can be used to show artificial intelligence errors to build user trust.

𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲
14:00 Welcome & Introduction
14:05 Talk by Evelyn Münster
14:20 Q&A
14:30 Talk by Emma Beauxis-Aussalet
14:45 Q&A
15:00 End!

𝗘𝘃𝗲𝗹𝘆𝗻 𝗠ü𝗻𝘀𝘁𝗲𝗿
Title: What, this bot makes errors?? How to explain AI to managers

Evelyn Münster is a Data Visualization Designer. She has a background in media art, software development and data analytics. With over 12 years of data visualization experience in various industries, she is today a renowned expert for designing data products that go beyond the capabilities of dashboards, helping technology clients develop purpose-built apps that use and visualize data in order to support decision making and navigating complex systems.

She is constantly developing new methods and mental models of how to design with data. Do take a couple of minutes to help her with a survey: https://www.chartdoktor.com/online-course-survey-i-need-your-help

𝗘𝗺𝗺𝗮 𝗕𝗲𝗮𝘂𝘅𝗶𝘀-𝗔𝘂𝘀𝘀𝗮𝗹𝗲𝘁
Title: Old math and simple bar charts to make classification bias understandable

Emma Beauxis-Aussalet is a senior track associate at the Digital Society School of Amsterdam University of Applied Science, where she leads projects that apply artificial intelligence (AI) for sustainability and positive social impacts. Her prior research at CWI has developed statistics and visualizations that make bias and error more understandable for the general public, and thus contribute to making AI more fair, transparent and accountable. She holds a PhD from Utrecht University, Masters in Computer Science and Communication, and has worked as an R&D engineer and a designer.

𝗗𝗲𝘁𝗮𝗶𝗹𝘀
Date: Thursday 16 July 2020
Time: 14:00-15:00 CET
Zoom: https://us02web.zoom.us/j/82178790171

𝗔𝗻𝘆 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀?
Before and during this webinar we want to hear from you about any challenges you have faced or any questions you have regarding data visualization. Feel free to use the Q&A section during the webinar!