About the Journal

Journal Introduction: Journal of AI and Future Design (AIFD)

1. Journal Overview

The Journal of AI and Future Design (AIFD) is a premier, international, peer-reviewed journal dedicated to exploring the profound intersection of Artificial Intelligence (AI) and the evolving landscape of design disciplines. AIFD serves as a cutting-edge platform for documenting and driving the industrial and creative revolutions triggered by generative AI, computational design, advanced human-computer interaction (HCI), and digital twins. The journal investigates how smart algorithms are reshaping the boundaries of human creativity, aesthetic paradigms, and the construction of future ecosystems.

2. Aims & Scope

As algorithmic capabilities transition from "computer-aided design" to "computer-generated design," the creative disciplines are undergoing a fundamental paradigm shift from experience-driven to data-driven methodologies. AIFD aims to:

  • Establish academic benchmarks: Provide an authoritative global platform for pioneering theoretical frameworks and empirical methodologies at the nexus of AI and design.

  • Dismantle disciplinary silos: Foster deep dialogues and cross-pollination among computer scientists, designers, social scientists, engineers, and digital artists.

  • Define ethical and technological standards: Lead critical discussions regarding algorithm biases, copyright frontiers, ethical co-creation, and sustainable intelligence in design.

3. Core Research Themes

AIFD welcomes high-quality original research articles, theoretical papers, system developments, and comprehensive reviews. The journal’s scope includes, but is not limited to, the following themes:

A. Computational & Generative Design

  • Applications of Generative Adversarial Networks (GANs), Diffusion Models, and Large Multimodal Models (LMMs) in industrial and visual arts.

  • Parametric architecture, topology optimization, and algorithmic aesthetics.

  • Text-to-3D, text-to-space, and cross-modal creative workflows.

B. Intelligent HCI & Experience Design

  • Affective computing, sentiment analysis, and biosensor-driven User Experience (UX) research.

  • Immersive environments, Mixed Reality (MR/XR), and spatial computing interaction models.

  • Smart wearables, soft robotics, and embodied AI product design.

C. Smart Industry & Spatial Transformation

  • Industrial & Manufacturing Design: AI-driven additive manufacturing, generative engineering, and rapid prototyping optimization.

  • Smart Cities & Architecture: Urban computing, algorithmic urban planning, and climate-responsive architecture.

  • Fashion & Digital Media: Virtual garments, algorithmic textile generation, digital avatars, and automated branding solutions.

D. Design Ethics, Policy & Philosophy

  • Intellectual property rights (IPR) and authenticity in the era of AI-Generated Content (AIGC).

  • Mitigating bias and ensuring diversity, inclusivity, and equity in design algorithms.

  • The evolving role of the human designer and the philosophy of post-human creative collaboration.

4. Article Types Accepted

  • Original Research Articles: Presenting empirical studies, novel algorithmic models, or experimental validation.

  • State-of-the-Art Reviews: Providing comprehensive, critical overviews of emerging trends and theoretical developments.

  • Design Perspectives: Forward-looking viewpoints or philosophical essays written by leading figures in academia and industry.

  • Industrial Case Studies: Detailed, analytical reviews of groundbreaking real-world AI applications in commercial or public design sectors.

5. Publication & Contact Information

AIFD adheres to a rigorous double-blind peer-review process to maintain the highest standards of scientific integrity, originality, and practical relevance.

  • Publisher: Hong Kong Shining Technology Corporation Limited

  • Address: UNIT 2508A 25/F BANK OF AMERICA TOWER 12 HARCOURT RD CENTRAL HONG KONG

  • Editorial Office Email: editorial-office@hkshiningpress.com