Artificial intelligence is an emerging topic and will soon be able to perform decisions better than humans. In more complex and creative contexts such as innovation, however, the question remains whether machines are superior to humans. Machines fail in two kinds of situations: processing and interpreting soft information (information that cannot be quantified) and making predictions in unknowable risk situations of extreme uncertainty. In such situations, the machine does not have representative information for a certain outcome. Thereby, humans are still the gold standard for assessing soft signals and make use of intuition. To predict the success of startups, we, thus, combine the complementary capabilities of humans and machines in a Hybrid Intelligence method. To reach our aim, we follow a design science research approach to develop a Hybrid Intelligence method that combines the strength of both machine and collective intelligence to demonstrate its utility for predictions under extreme uncertainty.
翻译：人工智能是一个新兴主题,不久将能够比人类更好地做出决策。在更复杂和创造性的环境,例如创新,问题仍然是机器是否优于人类。机器在两种情况下都失败:处理和解释软信息(无法量化的信息),在极端不确定的无法察觉的风险情况下作出预测。在这种情况下,机器没有代表某种结果的信息。因此,人类仍然是评估软信号和利用直觉的黄金标准。因此,为了预测启动的成功,我们将人类和机器在混合情报方法中的互补能力结合起来。为了达到我们的目标,我们采用设计科学研究方法,开发一种混合情报方法,将机器和集体情报的力量结合起来,以显示其在极端不确定情况下预测的效用。
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