About this Research Topic
This Research Topic is part of the article collection series: Toward and Beyond Human-Level AI
The applications of Artificial Intelligence and their impact on global society are currently growing at an exponential rate. Contemporary AI systems can detect cancers better than human doctors, build better AI algorithms than human developers, and beat human world champions at games like chess and Go. But despite the impressive success of (mainly neuromorphic) artificial intelligence systems in all areas of science and technology, the problem of creating a strong artificial intelligence (a.k.a. Artificial General Intelligence, AGI) remains an unsurpassed technological barrier. Giant IT companies worldwide and practically everybody relevant in the AI field are now commuted to achieving AGI. The rapid rate at which AI is developing new capabilities means that we might be close to the point where the AI research community will surprise us with the development of AGI. But when the developers will achieve their ultimate goal is still up for debates by professionals and speculation in public domain.
In this research topic, just as in the first volume of this series, we welcome reviews, original research, and short communications on (but not limited to) the following subjects:
- Systems architectures of high-level AI;
- Descriptions of concrete high-level AI systems and keynote subsystems;
- Detailed methodology for creating high-level AI systems;
- Papers composed by high-level AI systems;
- Analyses of the limitations of current technologies and paradigms in approaching "human-level AI".
We will not limit the scope of submissions to only successful attempts to implement human-level AI. However, the targeted aim of all papers in this Research Topic should coincide with its title.
The applications of Artificial Intelligence and their impact on global society are currently growing at an exponential rate. Contemporary AI systems can detect cancers better than human doctors, build better AI algorithms than human developers, and beat human world champions at games like chess and Go. But despite the impressive success of (mainly neuromorphic) artificial intelligence systems in all areas of science and technology, the problem of creating a strong artificial intelligence (a.k.a. Artificial General Intelligence, AGI) remains an unsurpassed technological barrier. Giant IT companies worldwide and practically everybody relevant in the AI field are now commuted to achieving AGI. The rapid rate at which AI is developing new capabilities means that we might be close to the point where the AI research community will surprise us with the development of AGI. But when the developers will achieve their ultimate goal is still up for debates by professionals and speculation in public domain.
In this research topic, just as in the first volume of this series, we welcome reviews, original research, and short communications on (but not limited to) the following subjects:
- Systems architectures of high-level AI;
- Descriptions of concrete high-level AI systems and keynote subsystems;
- Detailed methodology for creating high-level AI systems;
- Papers composed by high-level AI systems;
- Analyses of the limitations of current technologies and paradigms in approaching "human-level AI".
We will not limit the scope of submissions to only successful attempts to implement human-level AI. However, the targeted aim of all papers in this Research Topic should coincide with its title.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
