The continuing survival of Society depends on the existence of Truth. Innovation depends on Truth. The mismatch between AI technology, our Stone-Age brains and our Dark-Age institutions jeopardises the ability to identify Truth. It has become possible for small numbers of ‘bad actors’ to corrupt truth and create highly non-linear harm. At the same time, Truth is also dynamic. Facts have a half-life. Metaphorical truths, in the form of the ‘meaning of life’ work of artists, are also constantly evolving. The purpose of the paper is to examine how Society defines and uses dynamic Truth, and from there to conceptualise and demonstrate AI system algorithms capable of establishing context-appropriate, harm-eliminating, actionable ‘truth’. The primary purpose of such AI solutions will be to increase the success rate of innovation attempts. The secondary, albeit bigger, purpose is to try to mitigate the enormous risks that a failure to determine truth in a timely manner poses to Society at large.