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SEMLA 2026

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
Future of software engineering in an AI-driven world

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2500 Chem. de Polytechnique, Montréal, QC H3T 1J4

© SEMLA – Polytechnique Montréal

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