Automated decision-making has the potential to increase both productivity and competitiveness as well as compensate for well-known human biases and cognitive flaws [1]. But today’s powerful machine-learning based technical solutions also bring about problems of their own – not least in terms of being uncomfortably black-box like. A new research project at RISE Research Institutes of Sweden, in collaboration with KTH Royal Institute of Technology, has recently been set up to study transparency in the insurance industry, a sector that is poised to undergo technological disruption.
展开▼
