Will we ever have Conscious Machines?
Not on the map. Why?
Abstract (arXiv)
The question of whether artificial beings or machines could become self-aware or consciousness has been a philosophical question for centuries. The main problem is that self-awareness cannot be observed from an outside perspective and the distinction of whether something is really self-aware or merely a clever program that pretends to do so cannot be answered without access to accurate knowledge about the mechanism's inner workings. We review the current state-of-the-art regarding these developments and investigate common machine learning approaches with respect to their potential ability to become self-aware. We realise that many important algorithmic steps towards machines with a core consciousness have already been devised. For human-level intelligence, however, many additional techniques have to be discovered.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Mar 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 2.
7 papers.
- 2021Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Futurecited by 18
- 2022Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Conceptscited by 8
- 2022Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguitycited by 6
- 2023Eight challenges in developing theory of intelligencecited by 6
- 2024Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousnesscited by 1
- 2024Probing for Consciousness in Machinescited by 1
- 2023ChatGPT (Feb 13 Version) is a Chinese Roomcited by 0
- 2024Probing for Consciousness in Machines25 Nov 2024
- 2024Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness19 Apr 2024
- 2023Eight challenges in developing theory of intelligence20 Jun 2023
- 2023ChatGPT (Feb 13 Version) is a Chinese Room19 Feb 2023
- 2022Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts28 Oct 2022
- 2022Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity4 Jun 2022
- 2021Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future10 Aug 2021