AIAAIC is an independent, non-partisan, public interest initiative that examines and makes the case for real AI, algorithmic, and automation transparency and openness.

AIAAIC's independent, free, open library identifies and assesses 950+ incidents and controversies driven by and relating to AI, algorithms, and automation.

Creation of a practical, accessible, and extensible taxonomy of AI, algorithmic, and automation risks and harms

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

AIAAIC believes that AI, algorithms, and automation, and the organisations and individuals involved in their design, development, and deployment, must be transparent and honest about their aims and how they go about pursuing them. More

Transparency is cited as a core principle of ethical, responsible, and trustworthy AI. But it is often approached in a partial, piecemeal, and reactive manner.

Here's why real transparency and openness of AI, algorithmic and automation systems is needed, and what it should look like.

AIAAIC content is available to use, copy, adapt, and redistribute under a CC BY-SA 4.0 license. More

AIAAIC CC BY-SA 4.0 license