期刊
COGNITIVE COMPUTATION
卷 11, 期 2, 页码 159-171出版社
SPRINGER
DOI: 10.1007/s12559-018-9619-0
关键词
Adaptive aiding; Adaptive automation; Artificial intelligence; Augmented cognition; Automation logic; Cognitive cyber symbiosis; Function allocation; Human-AI teaming; Human-autonomy teaming; Trust
资金
- Australian Research Council [DP160102037]
Artificial intelligence (AI) is finding more uses in the human society resulting in a need to scrutinise the relationship between humans and AI. Technology itself has advanced from the mere encoding of human knowledge into a machine to designing machines that know how to autonomously acquire the knowledge they need, learn from it and act independently in the environment. Fortunately, this need is not new; it has scientific grounds that could be traced back to the inception of computers. This paper uses a multi-disciplinary lens to explore how the natural cognitive intelligence in a human could interface with the artificial cognitive intelligence of a machine. The scientific journey over the last 50 years will be examined to understand the Human-AI relationship, and to present the nature of, and the role of trust in, this relationship. Risks and opportunities sitting at the human-AI interface will be studied to reveal some of the fundamental technical challenges for a trustworthy human-AI relationship. The critical assessment of the literature leads to the conclusion that any social integration of AI into the human social system would necessitate a form of a relationship on one level or another in society, meaning that humans will always actively participate in certain decision-making loopseither in-the-loop or on-the-loopthat will influence the operations of AI, regardless of how sophisticated it is.
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