Akal Imitasi: Journal of Utility, Contribution, and Impact for an AI-Driven Future

AKAL IMITASI: Journal of Utility, Contribution, and Impact for an AI-Driven Future is an interdisciplinary scholarly journal dedicated to advancing research on the utility, contribution, and societal, scientific, technological, and economic impact of Artificial Intelligence (AI). The journal provides a platform for original research, methodological innovations, systematic reviews, applied studies, and interdisciplinary perspectives addressing how AI can be developed, evaluated, implemented, and governed to create meaningful and measurable value for society.

The journal particularly welcomes research that moves beyond model development and emphasizes the practical utility, real-world contribution, scalability, sustainability, explainability, and impact of AI-driven technologies. Contributions may address both foundational AI methodologies and their applications in scientific, educational, environmental, social, industrial, governmental, and economic contexts.

Areas of Interest

The journal welcomes submissions covering, but not limited to:

Artificial Intelligence and Machine Learning
- Machine learning and deep learning
- Generative AI and large language models
- Transformer architectures
- Multimodal AI
- Reinforcement learning
- Federated and distributed learning
- AI agents and autonomous systems
- Neural networks and representation learning
AI Applications and Domain Intelligence
- AI for science and engineering
- AI in education and learning
- AI for healthcare and public health
- AI for environmental and climate studies
- AI for geoscience and Earth observation
- AI in agriculture and food systems
- AI for social sciences and humanities
- AI for business, economics, and finance
- AI in smart cities and infrastructure
- AI for government and public services
AI, Society, and Humanity
- Social impact of AI
- Human–AI interaction
- AI and digital society
- AI literacy
- AI and social inclusion
- AI for marginalized and resource-constrained communities
- AI and cultural heritage
- Computational social science
- AI-mediated communication
Responsible and Ethical AI
- Explainable AI (XAI)
- Fairness and bias mitigation
- Transparency and accountability
- AI ethics
- Responsible AI
- Privacy-preserving AI
- Trustworthy AI
- Human-centered AI
- AI safety and risk assessment
AI Impact and Evaluation
- Evaluation of AI utility and effectiveness
- AI impact assessment
- Benchmarking and comparative evaluation
- Real-world AI deployment
- Technology adoption
- AI scalability and robustness
- Cost–benefit analysis of AI
- Socioeconomic impact of AI
- Productivity and organizational impact
- Long-term impact of AI technologies
AI for Sustainability and Development
- AI for sustainable development
- AI and the Sustainable Development Goals (SDGs)
- AI for green economy
- AI for blue economy
- AI and climate resilience
- AI for disaster risk reduction
- AI for resource management
- Energy-efficient and sustainable AI
- AI for developing and emerging economies
AI Systems, Infrastructure, and Deployment
- AI platforms and architectures
- Edge AI and IoT
- Cloud-based AI
- MLOps and AI engineering
- AI APIs and intelligent services
- AI-enabled decision-support systems
- AI deployment and operationalization
- Digital twins and intelligent infrastructure
Emerging AI Technologies
- Generative AI
- Foundation models
- Retrieval-augmented generation
- AI agents
- Knowledge graphs and neuro-symbolic AI
- Digital humans and intelligent assistants
- Autonomous intelligent systems
- Emerging human–AI collaborative systems