AIAAIC projects

AIAAIC uses a variety of methodologies and tools to examine and make the case for real AI and algorithmic transparency and openness. 

Detection and classification of incidents and issues driven by and relating to AI, algorithms, and automation

Creation of a general purpose, open taxonomy of near-term AI, algorithmic, and automation risks and harms

AI, algorithmic, and automation legal transparency requirements

Exploration of current and proposed laws mandating the transparency of AI, algorithmic, and automation systems