Engineering Safety and Ethical Challenges in 2045 Artificial Intelligence Singularity

Jing Suo, Mingcan Li, Jinhao Guo and Yan Sun ()
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Jing Suo: School of Philosophy, Shanxi University, Taiyuan 030006, China
Mingcan Li: School of Integrated Circuits, Taiyuan University of Technology, Taiyuan 030024, China
Jinhao Guo: College of Electronic Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Yan Sun: School of Philosophy, Shanxi University, Taiyuan 030006, China

Sustainability, 2024, vol. 16, issue 23, 1-17

Abstract: Artificial intelligence (AI) has rapidly advanced, increasingly showcasing its powerful learning and computational capabilities. This progress has resulted in significant breakthroughs in areas such as image processing, speech recognition, and autonomous driving. Scientists predict that by around 2045, AI will overcome existing technological barriers, allowing strong AI to surpass human intelligence. However, it will inevitably affect human social relationships and order. Ethical issues associated with AI technology, such as unemployment, privacy breaches, and discrimination, generate a sense of threat among people, resulting in a loss of confidence in AI, which hampers its sustainable progress. Therefore, AI ethical issues are not only significant topics in academia but also become critical concerns for individuals, society, and nations. This article aims to address the challenges of AI ethics safety and the erosion of human confidence, while promoting the sustainable development of AI. It presents an AI ethics safety framework that analyzes engineering ethics and human trust within the context of sustainable AI development, and it recommends governance methods and strategies informed by case studies. Furthermore, we propose evaluation criteria and methods, establishing early-warning thresholds to keep potential AI risks within acceptable limits. Finally, the future prospects for AI ethics safety are highlighted. We hope our research contributes to the sustainable development of AI, ensuring that the arrival of the AI singularity has a positive impact on society with a long-term harmonious coexistence between AI and humanity.

Keywords: artificial intelligence (AI) ethics; AI sustainability; AI singularity; engineering safety and ethics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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