Examining and making the case for real AI, algorithmic and automation transparency and openness

AIAAIC's independent, free, open library identifies and assesses 700+ incidents and controversies driven by and relating to AI, algorithms and automation.

Crowdsourced exploration of current and proposed laws mandating the transparency of AI and algorithmic systems

Baseline review of current government and company AI and algorithmic transparency models, types, and forms

Why genuine, meaningful transparency and openness of AI, algorithmic and automation systems is needed, and what it should look like.