Journal of Ambient Intelligence and Humanized Computing (AIHC) provides output for new research into new principes and methods of Artificial Intelligence that is context aware, self-adaptive, transparent and can show human treats towards the future of General Intelligence. The Journal of Ambient Intelligence and Humanized Computing (AIHC) serves as a platform for disseminating cutting-edge research on emerging principles and methodologies in the field of Artificial Intelligence (AI). The journal focuses on AI systems that are context-aware, self-adaptive, and transparent, while also exhibiting human-like traits that contribute to the evolution of General Intelligence. By publishing innovative studies, theoretical advancements, and practical applications, JAIHC aims to bridge the gap between artificial and human intelligence, fostering the development of AI that can seamlessly integrate into real-world environments and enhance human-machine interactions. The journal welcomes contributions that explore novel AI paradigms, interdisciplinary approaches, and forward-thinking strategies for creating intelligent systems capable of understanding, learning, and adapting to dynamic contexts in a manner that aligns with human cognition and behaviour. Research topics covered (but not limited to): • Context-aware AI systems • Self-adaptive AI models • Explainable AI (XAI) and transparency in AI • Human-like reasoning and decision-making in AI • AI in ambient intelligence applications • Lifelong learning in AI • Theories of human cognition applied to AI • AI ethics compliance and responsible AI • AI systems exhibiting human-like traits • Human-inspired AI models • Advanced human affective intelligence and emotion-aware computing • AI and cognitive modelling • General intelligence and artificial consciousness • Artificial general intelligence (AGI) frameworks • Theories of machine consciousness • AI-driven personality simulation • AI-human collaboration in decision-making • Trustworthy human-centred AI • Bias and fairness in AI systems • AI-trust calibration methods • Human-centred AI design • Human-like reasoning and common sense in Generative AI (GenAI) • Human-AI teaming methodologies • Scaling GenAI capabilities toward AGI • Computationally efficient AI with biological-inspired efficiency Articles published in the Journal of Ambient Intelligence and Humanized Computing (AIHC) support United Nations Sustainable Development Goals (SDGs): Responsible consumption and production (SDG 12) Decent work and economic growth (SDG 8) Climate action (SDG 13).