Raman Raghu, Kowalski Robin, Achuthan Krishnashree, Iyer Akshay, Nedungadi Prema
Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Amritapuri, Kerala, 690525, India.
College of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, 29634, USA.
Sci Rep. 2025 Mar 11;15(1):8443. doi: 10.1038/s41598-025-92190-7.
This study examines the imperative to align artificial general intelligence (AGI) development with societal, technological, ethical, and brain-inspired pathways to ensure its responsible integration into human systems. Using the PRISMA framework and BERTopic modeling, it identifies five key pathways shaping AGI's trajectory: (1) societal integration, addressing AGI's broader societal impacts, public adoption, and policy considerations; (2) technological advancement, exploring real-world applications, implementation challenges, and scalability; (3) explainability, enhancing transparency, trust, and interpretability in AGI decision-making; (4) cognitive and ethical considerations, linking AGI's evolving architectures to ethical frameworks, accountability, and societal consequences; and (5) brain-inspired systems, leveraging human neural models to improve AGI's learning efficiency, adaptability, and reasoning capabilities. This study makes a unique contribution by systematically uncovering underexplored AGI themes, proposing a conceptual framework that connects AI advancements to practical applications, and addressing the multifaceted technical, ethical, and societal challenges of AGI development. The findings call for interdisciplinary collaboration to bridge critical gaps in transparency, governance, and societal alignment while proposing strategies for equitable access, workforce adaptation, and sustainable integration. Additionally, the study highlights emerging research frontiers, such as AGI-consciousness interfaces and collective intelligence systems, offering new pathways to integrate AGI into human-centered applications. By synthesizing insights across disciplines, this study provides a comprehensive roadmap for guiding AGI development in ways that balance technological innovation with ethical and societal responsibilities, advancing societal progress and well-being.
本研究探讨了使通用人工智能（AGI）发展与社会、技术、伦理及受大脑启发的路径保持一致的必要性，以确保其负责任地融入人类系统。利用PRISMA框架和BERTopic建模，它确定了塑造AGI发展轨迹的五个关键路径：（1）社会整合，解决AGI更广泛的社会影响、公众采用和政策考量；（2）技术进步，探索现实世界应用、实施挑战和可扩展性；（3）可解释性，提高AGI决策中的透明度、信任度和可解释性；（4）认知和伦理考量，将AGI不断发展的架构与伦理框架、问责制和社会后果联系起来；（5）受大脑启发的系统，利用人类神经模型提高AGI的学习效率、适应性和推理能力。本研究通过系统地揭示未充分探索的AGI主题、提出将人工智能进步与实际应用联系起来的概念框架以及应对AGI发展中多方面的技术、伦理和社会挑战，做出了独特贡献。研究结果呼吁跨学科合作，弥合透明度、治理和社会一致性方面的关键差距，同时提出公平获取、劳动力适应和可持续整合的策略。此外，该研究突出了新兴的研究前沿，如AGI意识界面和集体智能系统，为将AGI整合到以人为本的应用中提供了新途径。通过综合各学科的见解，本研究提供了一份全面的路线图，以指导AGI的发展，在平衡技术创新与伦理和社会责任的同时，推动社会进步和福祉。
