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FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity

Authors :
Arnold, Matthew
Bellamy, Rachel K. E.
Hind, Michael
Houde, Stephanie
Mehta, Sameep
Mojsilovic, Aleksandra
Nair, Ravi
Ramamurthy, Karthikeyan Natesan
Reimer, Darrell
Olteanu, Alexandra
Piorkowski, David
Tsay, Jason
Varshney, Kush R.
Publication Year :
2018

Abstract

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 multi-dimensional fact sheets that capture and quantify various aspects of the product and its development to make it worthy of consumers' trust. 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 and provide examples for two fictitious AI services in the appendix of the paper.<br />Comment: 31 pages

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1808.07261
Document Type :
Working Paper