AI, algorithmic and automation harms taxonomy

Audiences

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

• End users, citizens, consumers and the general public

• NGOs, journalists, teachers, researchers, and other civil society and academic entities

• Policymakers and regulators

• Business.

Approach

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

1. Transparent. About our objectives, processes, outcomes, etc

2. Collaborative. Meaningfully involving participants in taxonomy development and decision-making

3. Inclusive. Of a broad range of expertise, genders, ages, nationalities, races and ethnicities

4. Rigorous. Taking a structured, evidence-based approach to all aspects of the project.

Methodology

The project consists of three phases: 

• Phase 1 [complete]: Taxonomy design and development. Based on the analysis of third-party taxonomies and ontologies and the annotation of AIAAIC Repository entries representative of a broad range of harm scenarios.

• Phase 2 [active]: High-level expert feedback. Taxonomy testing and refinement through in-depth interviews with a diverse set of publicly acknowledged experts with deep knowledge of key harm categories.

• Phase 3: General public feedback. Additional testing and refinement of the technology in an open and collaborative manner by a diverse selection of non-expert end users, members of the general public, students and others.