Augmented Intelligence, Augmented Responsibility?

Abstract Intelligence Augmentation Systems (IAS) allow for more efficient and effective corporate processes by means of an explicit collaboration between artificial intelligence human judgment. However, the higher degree system autonomy, along with enrichment capabilities, amplifies pre-existing issues distribution moral responsibility: If IAS has caused harm, firms who have operated might argue that they lack control over its actions, whereas developed actual use. Both parties rejecting responsibility attributing it to autonomous nature leads a variety technologically induced gaps. Given wide-ranging capabilities applications IAS, such gaps warrant theoretical grounding in ethical theory, also because clear is essential first step govern morality firm using structures as accountability mechanisms. As part this paper, necessary conditions are detailed. Second, paper develops theory Reason-Responsiveness (RRIAS) allows at organizational level operators providers. RRIAS provides important guidance understand should be held responsible developing suitable practices development usage IAS.