ADS Webinar | Making AI Fair in Practice: A Practitioner’s Perspective

How can modern AI systems be made safe and responsible in practice? What kind of potentially harmful outcomes are we facing when using AI-driven applications for high-stakes decision making? Join us to hear from Jeroen Silvis, lead data scientist at the City of Amsterdam, who is at the forefront of these difficult challenges.

In this ADS Webinar we aim to explore how modern AI systems can be made safe and responsible in practice, i.e., how can AI-driven systems that utilize for example facial recognition or personalized recommendations be responsibly deployed in everyday applications that impact millions of customers and citizens?

In particular, we focus on fairness: what kind of potentially harmful outcomes are we facing when using AI-driven applications for high-stakes decision making? How can we ensure that these applications are not harmful to citizens? Which safeguards can be put in place to ensure fair outcomes?

We will hear from Jeroen Silvis, lead data scientist at the City of Amsterdam, who is at the forefront of these difficult challenges.

Abstract: These are interesting times as the city of Amsterdam is gathering, making accessible, and bringing together more data than ever. At the moment there is huge potential to build data science solutions with a major impact to the city. However, what does it mean when it comes to social issues, such as healthcare or living-standards? Is it simply a matter of trying to optimize the social services that the municipality provides, or should we be cautious and consider concepts like privacy, fairness, and explainable AI above anything else? This talk will be an attempt to explain the context and challenges for data scientists working in government, by sharing real experiences of attempts, struggles, and lessons learned while trying to make the city a better place.

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 making AI fair in practice.

Please send us your questions via Sli.do
or you can go to www.sli.do/ and enter the event code #FAIP

We will answer your questions during the webinar.

Programme

16:30 Welcome & Introduction
16:35 Talk by Jeroen Silvis: When Data Science meets the social issues of a city: a reality check
17:00 Q&A discussions
17:15 End!

Speaker: Jeroen Silvis (City of Amsterdam)
Moderators: Aysenur Bilgin (CWI) & Hinda Haned (UvA)

Date: Tuesday 14 April 2020
Time: 16:30-17:15

This event will be hosted on Zoom. To attend you will need a (free) Zoom account.
https://zoom.us/j/922450739