This work employs crowdsourcing technique to solicit the actions that are believed ethical by the public. Construction of ECB includes a generator of feature vector for different scenarios, a visualization process, a website to collect ethical actions from the public, and a database of the ethical cases and actions. The ECB renders an important basis for the development and analysis of AI ethical systems.

The ethical case base (ECB) has four main features: considering four AI application scenarios and corresponding generator of feature vector, visualization process based on feature vector about conflicting situations, distributed surveys on website for crowdsourcing, and a database recording the ethical situations, actions, and personal background.

The crowdsourcing-based ethical case base (ECB) can be used to build the AI ethical system for the industries of autonomous machines, intelligent mechanics, medical resources allocation, and urban planning. Such a system can ensure the decisions are  aligned to the expectation of the public, insure the autonomy of patients, prevent from conflict of interests, and fulfill the ethics of the public on these industries.