Data Trails was published quite a while ago now, and when it dropped it contained a section (pages 148-149) listing all the positive/negative qualities that an AI could take. The problem is that most publications since then have contained new qualities, many of which would be extremely fitting for an AI to take.
I'm not suggesting that someone at Catalyst should go through every quality published since Data Trails and release errata on which can and can not be taken by AI, but is there some general rule that can be applied? Or should we just consider the table of allowed list in Data Trails obsolete and just take whatever qualities we think are appropriate?
