Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks

Jubril Gbolahan Adigun, Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi
March 2022 artificial intelligence, human computer interaction, risk management
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Image credit: ML-equipped CAIS demo running at the ARENA lab., Fraunhofer Italia

Abstract

Collaborative artificial intelligence systems (CAISs) aim to work with humans in a shared space to achieve a common goal, but this can pose hazards that could harm human beings. We identify emerging problems in this context and report our vision of and progress toward a risk-driven assurance process for CAISs.

Type
Journal article
Publication
In IEEE Computer
Collaboration Hazards Artificial intelligence Intelligent systems Risk management
Jubril Gbolahan Adigun
Jubril Gbolahan Adigun
PhD Candidate in Computer Science

Software and Systems Quality & Entrepreneur

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