A new open-source Python package, spotforecast2-safe, has been released to address time-series forecasting in safety-critical environments. It integrates compliance with the EU AI Act, IEC 61508, ISA/IEC 62443, and the Cyber Resilience Act directly into the library's design. The package enforces strict development and process rules, deliberately excluding features like AutoML and LLMs to maintain determinism and minimize attack surfaces, with a traceability matrix mapping regulations to code mechanisms. AI
IMPACT Provides a framework for developing AI forecasting tools that meet stringent regulatory requirements in safety-critical sectors.
RANK_REASON Release of an open-source package with a focus on regulatory compliance for AI applications.
- AGPL 3.0
- Cyber Resilience Act
- EU AI Act
- IEC 61508
- ISA/IEC 62443
- Python
- spotforecast2-safe
- Thomas Bartz-Beielstein
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