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The Legal Side of AI – SMART COWORKING
Compliance as Evidence Engineering: AI, Copyright and Civil Liability for Developers – SMART Coworking
04 of June 2026 – 45-minute talk followed by a question and answer session
Speaker: Miguel Ángel Rodriguez Santana
Legal Counsel at PI Advocats & AI Mentor/ PhD
Language of the talk: English
Description:
As AI systems face growing legal scrutiny, the question is no longer “do we have a policy?” — it’s “can we prove it?”
This session breaks down the two core legal risks every AI team faces: copyright exposure (were you allowed to use those inputs?) and civil liability (who is responsible when something goes wrong?). And more importantly, how to engineer your way out of both.
We’ll move beyond checklists and disclaimers to explore what real legal defensibility looks like in practice — from data lineage and licence hygiene to safety-case documentation and incident records. Whether you’re building RAG pipelines, fine-tuning on client data, or shipping AI-powered products to EU markets, the same artefacts that keep you out of court also make your systems more trustworthy and debuggable.
You’ll walk away with:
- A clear framework for copyright and liability evidence
- Practical guidance on what records to maintain — and why missing ones are a risk in themselves
- A real-world case study in evidence reconstruction after things go wrong
The new standard isn’t just that your AI works. It’s that you can prove how, why, and with what risks.
