Cognitive architectures for artificial intelligence ethics

Abstract As artificial intelligence (AI) thrives and propagates through modern life, a key question to ask is how include humans in future AI? Despite human involvement at every stage of the production process from conception design implementation, AI still often criticized for its “black box” characteristics. Sometimes, we do not know what really goes on inside or why certain conclusions are met. Future will face many dilemmas ethical issues unforeseen by their creators beyond those commonly discussed (e.g., trolley problems variants it) which solutions cannot be hard-coded up debate. Given sensitivity such social implications these society large, when if our make “wrong” choice need understand they got there order corrections prevent recurrences. This particularly true situations where livelihoods stake health, well-being, finance, law) major individual household decisions taken. Doing so requires opening AI; especially as act, interact, adapt world interact with other this world. In article, argue application cognitive architectures AI. particular, potential contributions transparency, explainability, accountability. We get do, should seek deeper level terms machine-equivalents motivations, attitudes, values, on. The path long winding but it could arrive faster than think. harness positive outcomes (and avoid negatives), more fully first place expect simultaneously contribute towards greater understanding counterparts also.