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. AIAAIC's harms taxonomy project aims to equip end users, the general public, civil society organisations and others to:. Better understand the negative impacts as opposed to "risks" of AI, algorithmic and automation systems.
More effectively take action against the misuse of these systems. Apply pressure on the organisations and individuals developing and deploying these systems to be more transparent, open and accountable. The taxonomy is intended to be:. Simple categories and definitions that are understandable to multiple audiences. Reflective of a wide range of harms - though not necessarily exhaustive. Adaptable to new harms as they arise.
Can connect and communicate in real-time with other systems and organisations. Th e harms taxonomy is intended to be relevant to the followin g audiences :.
End users, c itizens, consumers and the general public. NGOs, journalists, teachers, researchers , and other civil society and academic entities. Policymakers and regulators. About our objectives, processes, outcomes, etc.
Meaningfully involving participants in taxonomy development and decision-making. Of a broad range of expertise, genders, ages, nationalities, races and ethnicities. Taking a structured, evidence-based approach to all aspects of the project. The project consists of three phases:.
