Creating Trustworthy Algorithms
Details
Trustworthy Algorithms, how can we create fair algorithms and how can this translate to actual benefits for all?
In this meetup, Civic AI Lab will focus on how to create fair algorithms, while the Responsible AI Lab will discuss how to apply such algorithms in practice.
Join us on March 16th in-person!
In case you can not make it in person, here is a online link (join us in Sessions): https://hopin.com/events/creating-trustworthy-algorithms
Building: Digital Society School
Address: Theo Thijssenhuis, 1st Floor, Wibautstraat 2, Amsterdam
Note: From the Wibautstraat you need to walk through the Kohnstammhuis (KSH) building, then, the Theo Thijssenhuis will be on your right hand, next to the building that has 'Digital Society School' written on it.
Programme:
15:45 Walk In
16:00 Introduction
16:05 Vanja Skoric & Mirthe Dankloff (UvA, ICAI, Civic AI Lab)
16:25 Discussion
16:35 Pascal Wiggers & Hans de Zwart (HvA, Responsible AI Lab)
16:55 Discussion
17:05 Short networking
17:15 End
๐ง๐ฎ๐น๐ธ #๐ญ ๐ฏ๐ ๐ฉ๐ฎ๐ป๐ท๐ฎ ๐ฆ๐ธ๐ผ๐ฟ๐ถ๐ฐ & ๐ ๐ถ๐ฟ๐๐ต๐ฒ ๐๐ฎ๐ป๐ธ๐น๐ผ๐ณ๐ณ (๐๐ถ๐๐ถ๐ฐ ๐๐ ๐๐ฎ๐ฏ)
Vanja Skoric is a Program Director at the Netherlands-based Eruopean Center for Not-for-profit Law, overseeing global and European engagement programmes with 20 years of experience in legal analysis, research, litigation, and strategic campaigning. She leads engagement in digital and artificial intelligence (AI) issues affecting civic freedoms and work on securitisation and counter-terrorism measures that impact civil society. Coming from Croatia, Vanja holds a LLM degree in Public International Law from the University of Amsterdam. She is currently an external PhD candidate at the University of Amsterdam Civic AI Lab, and the Informatics Institute.
Mirthe Dankloff is a PhD candidate at the Civic AI Lab and the User centric data science group at the VU. She focuses on bias modeling and explainable AI for non-discrimination and transparency within the public sector and works in collaboration with the Dutch Ministry of Interior Affairs. Before starting her PhD, she integrated two master programs:
Artificial Intelligence and Philosophy of Culture & Governance. By combining both fields, she gained a deeper understanding of the ethical and societal issues of AI. Simultaneously, Mirthe did an internship at The Netherlands Scientific Council for Government Policy (WRR)' where she worked on the advisory report requested by the Dutch government on the Influence of AI on Public Values. Currently, she is investigating what information on error discrepancies should be communicated to support collaborative decision-making in the public sector.
๐ง๐ฎ๐น๐ธ #๐ฎ ๐ฏ๐ ๐ฃ๐ฎ๐๐ฐ๐ฎ๐น ๐ช๐ถ๐ด๐ด๐ฒ๐ฟ๐ & ๐๐ฎ๐ป๐ ๐ฑ๐ฒ ๐ญ๐๐ฎ๐ฟ๐ (๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐น๐ฒ ๐๐ ๐๐ฎ๐ฏ)
As of February 1st, Pascal Wiggers has been appointed Associate Lecturer Responsible Artificial Intelligence (AI) at the Faculty of Digital Media & Creative Industry (FDMCI). From his new position, Wiggers focuses on developing AI based on public values, with an eye for the individual, social and ethical consequences of AI. Wiggers is part of the Responsible IT research group. This is the first time that the Amsterdam University of Applied Sciences has appointed an Associate Lecturer.
Pascal obtained his doctorate at the TU Delft in 2008 with the thesis โModelling Context in Automatic Speech Recognitionโ and worked as an assistant professor at the same university, where he, together with his PhD students, researched machine learning, automatic recognition of speech, language and emotion and on methods to reflect on values โโduring the design and development process of digital technology.
