idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Algorithms matter, and so does the data they’re trained on. To improve the accuracy and fairness of algorithms that determine everything from navigation directions to mortgage approvals, we need to make it easier for practitioners to quickly assess the viability and fitness of datasets they intend to train AI algorithms on.
Kasia Chmielinski, affiliated with the Berkman Klein Center for Internet and Society at Harvard University, is the Co-Founder of The Data Nutrition Project. In their virtual talk at Fraunhofer IAO they will discuss:
- how you do know if a data set is biased,
- some recent case studies for bias in AI,
- some thoughts about governmental approaches to tackle these problems, and
- her thoughts how to tackle bias in AI bottom-up.
The event is aimed at Scientists in the field of Data Science.
Scientific contact:
Dr. rer. pol. Clemens Striebing
Unternehmenskultur und Transformation
E-Mail: clemens.striebing@iao.fraunhofer.de
Information on participating / attending:
Participation in this event is free of charge. Registration: https://crm-portal.iao.fraunhofer.de/eventonline/event.aspx?contextId=A0360307D0...
Date:
04/11/2023 15:00 - 04/11/2023 16:00
Event venue:
Online
Stuttgart
Baden-Württemberg
Germany
Target group:
Scientists and scholars
Relevance:
international
Subject areas:
Information technology
Types of events:
Presentation / colloquium / lecture
Entry:
03/21/2023
Sender/author:
Juliane Segedi
Department:
Presse- und Öffentlichkeitsarbeit
Event is free:
yes
Language of the text:
English
URL of this event: http://idw-online.de/en/event73865
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