“Artificial intelligence is revolutionizing scientific discovery, turning it into an accelerated quest where previously unimaginable hypotheses become possible by connecting dots beyond human cognition.”

— World Economic Forum, Top 10 Emerging Technologies of 2024, p.9, 2024.

The convergence of Artificial Intelligence (AI) and the Theory of Inventive Problem Solving (TRIZ) is redefining the landscape of scientific and technological innovation. Recent advances, such as the use of AI in scientific discovery, enable breakthroughs that were previously unimaginable, accelerating the pace of innovation. This conference aims to serve as a global platform to explore these synergies, foster interdisciplinary collaborations, and address the ethical, societal, and technological challenges associated with these advancements.

Objectives

1. Integration of AI and TRIZ: Explore how AI can be combined with TRIZ methodologies to enhance the resolution of complex problems and drive innovation.
2. Accelerating Scientific Discoveries: Discuss how AI can expedite the process of scientific discovery, particularly in fields such as medicine, green technologies, and life sciences.
3. Ethical and Societal Considerations: Address the ethical implications of using AI in innovation, including issues of privacy, autonomy, and environmental impact.
4. Interdisciplinary Collaboration: Foster collaboration among researchers, engineers, and professionals from various fields to share knowledge and experiences on the combined application of AI and TRIZ.
5. Skill Development: Highlight the importance of continuous education in AI and TRIZ to prepare the innovators of tomorrow.

Main Topics

• AI Foundations for Invention and Inventive Design
  Explore the fundamental principles of artificial intelligence that enhance inventive thinking and problem-solving, shaping the future of creativity in engineering and scientific research.
• Advancements in Theory of Inventive Problem Solving (TRIZ)
  Present novel insights, theoretical refinements, and innovative methodologies that expand the TRIZ framework, integrating it with cutting-edge AI capabilities.
• AI Algorithms and Architectures Supporting Creativity
  Delve into AI-driven approaches, including generative models, evolutionary algorithms, and neural networks, that augment human creativity and optimize the ideation process.
• AI-Powered Innovation Management
  Examine how AI revolutionizes innovation management by accelerating idea generation, optimizing R&D pipelines, and enhancing decision-making in corporate and academic settings.
• AI and Intellectual Property Creation
  Investigate the impact of AI on the generation, evaluation, and protection of intellectual property, including automated patent analysis, AI-assisted invention, and legal challenges.
• Predictive Models for Technological Evolution
  Showcase AI-based forecasting models that anticipate technological advancements, enabling strategic planning, competitive intelligence, and disruptive innovation.
• Eco-Innovation, Eco-Design, and Applications of AI
  Discuss AI-driven approaches for sustainable innovation, including green product development, energy-efficient design, and environmentally conscious technological advancements.
• Other Emerging Topics
  Contribute cutting-edge research on the intersection of TRIZ, AI, and emerging technologies, addressing challenges and opportunities in inventive problem-solving.

Case Studies and Practitioners Contributions

• Real-World Applications of AI in Design
  Present concrete case studies demonstrating how AI enhances the design process, from conceptualization to prototyping and final product realization.
• Practical Implementations of TRIZ and AI Synergy
  Share experiences and success stories of integrating TRIZ methodologies with AI tools, highlighting improvements in problem-solving efficiency and innovation outcomes.
• Eco-Innovation and Sustainability Practices
  Explore real-world applications where AI and TRIZ contribute to sustainable product design, circular economy models, and environmentally friendly industrial solutions.
• TRIZ and Approaches to Systematic Innovation in Action
  Showcase practical implementations of TRIZ principles in various industries, illustrating how systematic innovation leads to breakthrough solutions.
• AI Tools in Action with Collaborative Platforms and Tools
  Demonstrate how AI-driven collaborative platforms facilitate teamwork, enhance knowledge sharing, and accelerate the innovation cycle across disciplines.
• AI-Driven Innovations in Education and Learning Technologies
  Highlight AI-powered tools and methodologies that enhance learning experiences, personalize education, and support knowledge transfer in technical and scientific fields.
• AI and Business Model Innovation
  Discuss how AI reshapes business models, optimizes strategic planning, and creates new value propositions in the innovation-driven economy.
• Other Practical Contributions
  Bring forward case studies, best practices, and experimental insights that showcase AI’s transformative role in the inventive and design processes.

Call for Contributions

We invite researchers, practitioners, and industry professionals to submit papers, case studies, and presentations on the topics outlined above. Contributions should be original and add significant value to the field of AI-powered innovation and TRIZ methodology.

Submission Formats

• Research Papers: Academic works presenting original research.
• Industrial Case Studies: In-depth analyses of the application of AI and TRIZ in industrial contexts.
• Workshops and Tutorials: Interactive sessions aimed at sharing practical skills and in-depth knowledge.

Important Dates

• Abstract Submission Deadline: March 15, 2025
• Abstract Acceptance Notification: March 30, 2025
• Full Paper Submission Deadline: June 1, 2025
• Review Feedback Deadline: July 20, 2025
• Final Version Submission Deadline: August 19, 2025

Publication

Accepted papers will be published in the conference proceedings and indexed in recognized academic databases.

Conference Venue

The conference will take place from November 5 to November 7, 2025, at the EDF site in Paris-Saclay, a world-class innovation hub offering an inspiring environment for intellectual exchange and strategic collaborations.