AI Traps

This event focuses on how artificial intelligence and algorithms impact our everyday life as well as culture, politics, institutions and behaviours, often reflecting inequalities based on social, racial and gender prejudices. Computer systems can be influenced by implicit values of humans involved in data collection, programming and usage. Algorithms are not neutral and unbiased, and the consequence of individual decisions can be embedded on search engine results, social media platforms and software applications reflecting systematic and unfair discrimination.

The analysis of algorithmic bias implies a close investigation of network structures and multiple layers of computational systems. The consequences of digitalisation are not just bounded to technology, but are affecting our society and culture at large. AI bias could be increased by the way machines work, taking unpredictable directions as soon as software are implemented and run by their own.

By connecting researchers, writers, journalists, computer scientists and artists, this event wants to demystify the conception of artificial intelligence being pure and logical, focusing instead on how AI suffers from prejudices and bias of its human creators, and how machine learning may produce inequality as a consequence of mainstream power structures that do not imply the presence of diversity and minorities.

This conference aims to provoke awareness by reflecting on possible countermeasures that come from the artistic, technological and political framework, critical reflecting on the usage and implementation of AI technology.

Confirmed speakers:
Mutale Nkonde
Charlotte Webb
Os Keyes
Sophie Searcy
Dan McQuillan
Dia Kayyali
Adam Harvey