IJCAI-ECAI 2026 教程与研讨会回顾（上）
IJCAI-ECAI 2026 tutorial / workshop round-up part 1 - ΑΙhub
IJCAI-ECAI 2026 的教程与研讨会回顾中，一场教程聚焦图像与表格场景下的缺失数据填补，涵盖从统计基线到自编码器与生成对抗网络的方法；另一场 SAFER 研讨会于 8 月 16 日在德国不来梅举行，数十名研究者共同制定可信智能体 AI 路线图，提出安全、可靠、主权三条推进主线，相关扩展论文与章节计划于 2027 年出版。
正文
Top two images from the tutorial “Data centric AI: addressing missing data imputation in image and tabular contexts”, bottom two images from the workshop “Safe agentic AI framework and ecosystem roadmapping (SAFER)”.
In this summary article, organisers of a tutorial and a workshop at IJCAI-ECAI 2026 pick their key takeaways from their respective sessions.
By Ricardo Cardoso Pereira
Presenters: Joana Cristo dos Santos, Ricardo Cardoso Pereira, and Pedro Henriques Abreu .
This tutorial was a practical, hands-on tutorial on the theory and methods for handling missing data in tabular and imaging settings, from statistical baselines to autoencoders and generative adversarial networks.
Three key takeaways from the tutorial:
All the details and materials of the tutorial are available here .
By Mark Maybury
Workshop organisers: Mark Maybury (chair), Wolfgang Wahlster, Josephine Liu, Francesca Rossi, and Mihai Christodorescu .
On Sunday August 16, several dozen leading researchers from across the globe joined together in Bremen, Germany at IJCAI-ECAI 2026 for the Safe Agentic AI Framework and Ecosystem Roadmapping (SAFER) Workshop to create a trustworthy agentic AI roadmap. As AI models increase in capability, agency, and autonomy, their impact on individuals and society grows. This interdisciplinary workshop attracted researchers, practitioners, policy makers and students from diverse fields including computer science, sociology, philosophy, and law to collaboratively create a roadmap considering the scientific and technical, security, economic, environmental, regulatory, social and ethical implications of Agentic AI to advance responsible if not beneficent agents and their enabling ecosystem. Critical lanes of necessary progress over the next decade were detailed during the workshop and shaped into an integrated three lane roadmap:
The workshop participants envisioned a future in which agents were safe (did no harm to others), secure (stop others from harming them) and sovereign (operating locally where appropriate). A collection of extended papers and invited chapters including theoretical and practical guidance to ensure the safety and security and sovereignty of agents is in preparation to be published in 2027.
Following the workshop, a public panel open to the public was held at the University of Bremen, in which the results of the workshop were shared by the organizers and questions were fielded from a sold out auditorium. The audience expressed both excitement about the potential for societal benefits from artificial intelligence simultaneously with serious concern for risks and potential dangers. This open engagement underscored the importance for the scientific community to advance responsible AI to ensure safety and security for all.
Photos from the workshop. First row, left to right: The workshop organisers, workshop participants, Daniel Porta (DFKI). Second row: Stuart Battersby (Red Hat), public workshop panel, Rodica Mihai (NORCE Norwegian Research Centre). Third row: Wolfgang Wahlster (DFKI founder), Murdoch Gabbay (Heriot-Watt University), Thorsten Bernasco (Aramvolt).