Examining and making the case for real AI, algorithmic and automation transparency and openness
Transparency is regularly cited as a core principle of ethical, responsible and trustworthy AI. Too often, it is approached in a partial, piecemeal, and reactive manner.
Here's why genuine, meaningful transparency and openness of AI, algorithmic and automation systems is needed, and what it should look like.
AIAAIC's independent, free, open library identifies and assesses 750+ incidents and controversies driven by and relating to AI, algorithms and automation.