首页|Advancing the safety of AI-driven machinery requires closer collaboration with h umans
Advancing the safety of AI-driven machinery requires closer collaboration with h umans
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – An ongoing research project at Tampere University aims to create adaptable safety systems for highly automated off-roa d mobile machinery to meet industry needs. Research has revealed critical gaps i n compliance with legislation related to public safety when using mobile working machines controlled by artificial intelligence. As the adoption of highly automated off-road machinery increases, so does the ne ed for robust safety measures. Conventional safety processes often fail to consi der the health and safety risks posed by systems controlled by artificial intell igence (AI).
Artificial IntelligenceEmerging Techno logiesMachine LearningTampere University
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NSTL
