Key takeaways:
❇️ After "generative" AI, "agentic" AI is becoming the main trend
❇️ AI agents do not just generate content; they interact with their environment and make autonomous decisions
❇️ Based on three technological pillars: integration of LLMs and LVMs to understand natural language; breaking down complexity into optimized subtasks; and seamless connection to digital systems
❇️ Traceability, decision validation, and human control are essential to avoid misuse and ensure their safety
❇️ The challenge of their qualification under the AI Act, between general purpose models and high-risk systems (Code of Practice being discussed with the AI Office)
❇️ The AI Act, in Article 4, imposes an AI competency obligation (AI Literacy), requiring that all AI developers and providers have sufficient mastery of these technologies. It is therefore essential to understand this trend and its implications.
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