SEMLA 2026: Engineering Trustworthy and Cost-Effect AI Multi-Agents

SEMLA 2026: Engineering Trustworthy and Cost-Effective AI Multi-Agents

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AI is clearly no longer just a tool. It's now a collaborator, a decision-maker, and an active participant in software systems. But as AI agents grow more capable and more autonomous, the questions that matter most are shifting: not just whether we can build these systems, but should we trust them, how do we keep them safe, and can we afford to run them?
SEMLA 2026 brings together researchers and practitioners at the intersection of software engineering and machine learning to tackle these challenges head-on. This year's symposium centers on Engineering Trustworthy and Cost-Effective AI Multi-Agents, to explore how we design, deploy, and govern AI systems that are not only powerful, but reliable, efficient, and responsible.

Topics include:

• Ethics, legal frameworks, and safety in AI systems
• Energy consumption and efficiency of AI at scale
• Accuracy, robustness, and performance of multi-agent systems
• Security and guardrails for deployed AI
• Embedding domain expertise and human knowledge into AI
• Integration of foundation models into real-world software pipelines
• The future of software engineering in an AI-driven world

Whether you work in research or industry, SEMLA 2026 is the place to engage with the ideas and people shaping the next generation of AI-driven software.

Know what’s Happening Next — before everyone else does.

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