Explainable AI to Shape the Future – ABN AMRO’s insights on Explainable AI
March 30, 2023
During this Vision Dinner, Lennart Bootsman, Head of Artificial Intelligence, will share not only share why he thinks Explainable AI is crucial but also some practical tips on how to build a model that ticks all these boxes. After his presentation, there will be an open discussion with Lennart and the other participants. You are most welcome to join!
- Small scaled peer session
- Open dialogue by means of the Chatham House Rule
Lennart Bootsman, ABN AMRO
speaker
Lennart Bootsman
Head of Artificial Intelligence
Within ABN Amro, Lennart Bootsman holds the position of head of artificial intelligence. In the field of data science, he has worked for more than 8 years. Lennart has also worked in difficult and complex environments for more than 20 years, using cutting-edge technology to improve people's lives.
Company
ABN AMRO
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Information
Topic
Working with data and various machine learning (ML) models’ is indispensable in the current and future way of working. In some cases, machine learning (ML) models’ even outperform humans. But rather than simply accepting the insights machine learning (ML) models’ provide, we should view them critically. Human work remains the base for new technology meaning it is prone to mistakes, misunderstandings or uncertainty. We need AI to provide clear explanations on its results in order to avoid severe negative impact on various stakeholders. So how do you ensure that the models you build understand what you mean during programming and how can you understand its results?
Program
Location: TBD
17:30 - 20:30
More information will follow soon.
Audience
Directors and Managers Data, AI & Analytics
Main language
English
Conditions
- Participants have to meet the previously described target audience.
- If applicable, our partners will be presented with every application.
- During all our sessions, the Chatham House Rule applies. This means that the participants are free to use the information received, but neither the identity nor the affiliation of the speaker(s), nor that of any other participant, may be revealed. This means that no report, no photos and no recordings are made of the meeting. The presentation will also not be distributed to the participants afterwards.
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