Enabling ethics mechanisms in the governance of algorithmic artificial persons (ALAP)

In the global context of a ‘new social contract’ and a ‘flourishing world’, ethics mechanisms such as principles, guidelines, recommendations, standards, frameworks and checklists, are being established by public and private organisations and governments for the governance of 'algorithmic artificial persons (ALAP)', autonomous artificial intelligence (AAI) systems and emerging information and communication technologies (eICT). This paper examines, and identifies eleven gaps in the current ethics mechanisms, employing a ‘qualitative evidence synthesis’ (QES). Additionally, it proposes a ‘prescriptive conceptual model’ of an ‘anticipatory general ethics library’ (AnGEL), to enable resolution of these gaps. AnGEL is conceptually modelled as an implementable library of norms and rules for ALAPs / AAI systems and eICT, agnostic of domains and use cases. The conceptually modelled AnGEL may, post ‘verification’ through further discourse, and subsequent ‘validation’ of a prototype, be hosted on a cyber-physical intermediary. It can be rendered accessible through ‘Ethics-as-a-Service’ and provide ‘ethics interoperability’.