7 Core Conditions for Responsible and Culturally Sensitive AI systems

On May 24 the AI, Media, and Democracy Lab hosted a pre-conference titled ‘Building the Conditions for Responsible Human-Centric AI systems’ in Toronto. One of the outcomes became a discussion of the notion Human-Centric and a shift towards the notion of culturally-sensitive instead.

The pre-conference was opened with a keynote by EU Parliament Member Kim van Sparrentak, who told the participants ‘to get up from behind their desks’ and bring knowledge and research to the parliament. This became tone-setting for the day, where the presenting researchers providing concrete insights into how to develop responsible, inclusive, and culturally sensitive AI systems for media.

During the day many challenges and knowledge gaps were also raised. These were condensed into seven core conditions for responsible and culturally-sensitive AI, which can be found below. This two-pager also outlines why the participants considered it necessary to shift the conversation from human-centric to culturally-sensitive.

The pre-conference was part of the large annual conference by the International Communication Association (ICA), which was held in Toronto from May 25-31.  It was organised by Valeria Resendez (U of Amsterdam), Anna Schjøtt Hansen (U of Amsterdam), Theresa Josephine Seipp (U of Amsterdam), Tomás Dodds (Leiden U), Natali Helberger (U of Amsterdam), Claes de Vreese (U of Amsterdam), Nick Diakopolous (Northwestern U), James Meese (RMIT U) and funded by the AI, Media and Democracy Lab, RMIT University and the National University of Singapore.

Read and download our two-pager with 7 conditions for building Responsible and Culture-Sensitive AI Systems below