AI, algorithmic and automation harms taxonomy

AIAAIC is developing a human/user-centred taxonomy of harms driven by AI, algorithmic and automation systems to support citizen reporting, advocacy campaigns and violation tracking, education and "literacy" programmes and other purposes.

The taxonomy is being developed in an open, structured manner involving a diverse group of individuals from academia, civil society, government and business representing a broad range of interests and expertise, countries and cultures, ages and genders.

Objectives

AIAAIC's harms taxonomy project aims to equip end users, the general public, civil society organisations and others to: 

The taxonomy is intended to be:

Audiences

The harms taxonomy is intended to be relevant to the following audiences

Approach

AIAAIC and its partners will use the following principles to inform the development of the project:

Methodology

The project consists of three phases: 

Outputs

The outputs from the project are envisaged to be:

Participants (in a personal capacity) from:

Further information

Contact AIAAIC