عنوان انگلیسی مقاله:
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
ترجمه فارسی عنوان مقاله:
کالیبراسیون سریع اعتماد از طریق هوش مصنوعی قابل تفسیر و عدم اطمینان
Sciencedirect - Elsevier - Patterns, 1 (2020) 100049. doi:10.1016/j.patter.2020.100049
Richard Tomsett,1,* Alun Preece,2 Dave Braines,1 Federico Cerutti,2,3 Supriyo Chakraborty,4 Mani Srivastava,5 Gavin Pearson,6 and Lance Kaplan7
Artificial intelligence (AI) systems hold great promise as decision-support tools, but we must be able to identify
and understand their inevitable mistakes if they are to fulfill this potential. This is particularly true in domains
where the decisions are high-stakes, such as law, medicine, and the military. In this Perspective, we
describe the particular challenges for AI decision support posed in military coalition operations. These
include having to deal with limited, low-quality data, which inevitably compromises AI performance.We suggest
that these problems can be mitigated by taking steps that allow rapid trust calibration so that decision
makers understand the AI system’s limitations and likely failures and can calibrate their trust in its outputs
appropriately. We propose that AI services can achieve this by being both interpretable and uncertaintyaware.
Creating such AI systems poses various technical and human factors challenges. We review these
challenges and recommend directions for future research.