Grand Research Challenges Facing Ethically Aligned Artificial Intelligence

Despite the impressive progress of artificial intelligence, performance of many systems has shown severe bias, horrible discrimination, and fatal errors. These immoral flaws have triggered philosophers, roboticists, futurists who have flooded the community with a proliferation of ethical principles for disciplining these systems. Regardless of the ambiguity and lack of consensus on these principles, the missing block is the translation of suggested normative principles into best practices, measures, regulations, policies, and research agenda. The first objective of this study is to introduce this emerging landscape of ethics to the information system community. The second objective is to reshuffle suggested principles, summarize them, and reproduce them in a form of ten grand research challenges and subfields that may guide future endeavors.