HBA Zurich-Zug and HBA Amsterdam present

How to spot the potential for bias in the data you are training your AI with?

Date and time
Wednesday, 17 March
12:00PM - 01:00PM CET
Virtual - Zoom

Event Contact
Katrin Jack
11. Fosters innovation
Event sponsor

In the 1800s, the Industrial Revolution was visible through an expanding network of canals, telegraph wire and railroads. We are now on the cusp of another revolution, powered by human augmentation technologies — AI, autonomous vehicles, robots, augmented and virtual reality, and more — that are unprecedentedly lifelike and autonomous. This revolution is one of enormous speed, more so now as the COVID-19 pandemic places increasing demands on technological resources.

The AI algorithms make decisions based on the data humans have trained it with. As humans are innately biased in their decision making - making conscious and unconsciously biased decisions routinely – their AI creations fall under the same fate. Therefore, whilst these algorithms advance us leaps-and-bounds in terms of tackling some of the world’s most pressing issues, they can encourage mistrust and institutionalize discrimination on mass scales with limited transparency or accountability, reducing people’s opportunities to participate equally in economies and societies.

In this HBA-hosted and EY-facilitated series of webinars we explore bias in AI in detail. The first session was held on 25 November 2020 and covered several real-life examples, applications, and impact of bias in AI. In the second session on 10 February 2021 we took a closer look at how to detect bias in AI. In our third and last module of these series we will explore how to prevent bias and improve decision making to control your data.

You will leave the third session of the three webinars with
- an understanding of what a trusted AI Framework is
- insights to how such a framework is applied in a real life scenario
- a strategic perspective to addressing trust AI

This event is intended for all mid-level leaders up to senior executives across sectors who want to provide their peers with a better understanding of technology, and in turn, create positive change for their organizations, societies and themselves

This event will be presented by EY and industry experts.

Registration information
Event is open to: HBA Members and Nonmembers

Featured speakers

Jose Garcia
Senior Consultant - Machine Learning & AI Ethics
Maximilian Lutz
Senior Manager - Data Analytics & Intelligent Automation
EY - Europe
Oliver Mohajeri
Senior Consultant, AI-Assisted Intelligent Automation
Esther van Laarhoven
Associate Partner
Ernst & Young GmbH

Registration information

The registration button at the bottom of the page will not show if online registration has closed or if the event has reached capacity. If you are a guest and the registration button is not showing, it may be that this is a member-only event. Read more about the benefits of membership or contact us about membership.

The HBA will make reasonable modifications to policies and programs to ensure that people with special needs have an equal opportunity to enjoy all of its programs. Contact us if you require special accommodations for this event.

 Price LevelRegular
Collapse group

Registration: Regular Registration

 Member - Euro€9.00
 Non-Member - Euro€13.00

By registering for this event, you acknowledge that you may be photographed, videotaped and/or audio-taped during the course of the meeting and hereby give permission for your image, voice, or survey comments to be used in education, training, promotion and/or trade and communications media by the Healthcare Businesswomen's Association in any and all media throughout the world, without restriction as to frequency or duration of usage.