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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
protecting client data, together with practical guidelines and tools for developers and organisations deploying agentic AI systems. Conduct original research on privacy and security for LLM-based and multi
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shape relational aspects of work. Identify the mechanisms through which AI-mediated contributions and autonomous agents reshape relational dynamics, and develop evidence-based guidance for responsible and
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disciplines. Generative AI and AI agents are rapidly changing how software-based systems are being designed, developed, and evaluated. While AI agents have become common in certain Software Engineering tasks
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-agent" that integrates multimodal health data, including MRI examinations, PSMA PET/CT imaging, histopathology results, and longitudinal electronic health records, to support clinical decision-making in
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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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learning-based surrogates for physical systems LLMs and scientific agents – large language models that autonomously reason, plan and execute scientific workflows AI for engineering design – LLM-driven agents