The promise and perils of AI in customs and trade automation
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This webinar recording introduces the CustomsClear AI ecosystem and explains, in plain terms, why and how its picoco AI tools can be trusted for customs and trade compliance work — in contrast to general-purpose chatbots such as ChatGPT.
Topics covered:
- The CustomsClear knowledge platform: articles, journal, videos, courses and forum for the whole customs and trade supply chain
- picoco AI, CustomsClear's AI infrastructure, and its regulatory library approach to customs and trade compliance
- How picoco AI differs from ChatGPT: precise versus probabilistic answers, curated legal sources versus general web training data, expert-assured quality versus generic LLM output
- A live demonstration of the EU Sanctions AI tool: checking HS code restrictions, luxury-goods thresholds, national import prohibitions, and complex multi-country transit and sanctioned-entity scenarios
- The free trial and customisation options for company-specific document ingestion
- How large language models actually work: neural networks, parameters, training costs and energy use
- Why LLMs are language models rather than world models, and the risks of trusting them directly (lack of validation, imperfect recall, no sense of importance)
- CustomsClear's approach to minimising hallucination risk: narrowing AI tools to retrieving and paraphrasing pre-verified, expert-curated content rather than reasoning from memory
For a broader overview of the topic, please watch the full recording. The slides are available in the Resources section.
Please note that this summary was generated using AI, based on the recording and available slides.
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