Rangachari Anand, Kishan Mehrotra, et al.
IEEE Transactions on Neural Networks
Accuracy is an important concern for suppliers of artificial intelligence (AI) services, but considerations beyond accuracy, such as safety (which includes fairness and explainability), security, and provenance, are also critical elements to engender consumers' trust in a service. Many industries use transparent, standardized, but often not legally required documents called supplier's declarations of conformity (SDoCs) to describe the lineage of a product along with the safety and performance testing it has undergone. SDoCs may be considered multidimensional fact sheets that capture and quantify various aspects of the product and its development to make it worthy of consumers' trust. In this article, inspired by this practice, we propose FactSheets to help increase trust in AI services. We envision such documents to contain purpose, performance, safety, security, and provenance information to be completed by AI service providers for examination by consumers. We suggest a comprehensive set of declaration items tailored to AI in the Appendix of this article.
Rangachari Anand, Kishan Mehrotra, et al.
IEEE Transactions on Neural Networks
Benjamin N. Grosof
AAAI-SS 1993
Yi Zhou, Parikshit Ram, et al.
ICLR 2023
Christoph Bockisch, Sebastian Kanthak, et al.
OOPSLA 2006