Abstract and Keywords
This chapter describes algorithmic decision-making (ADM) systems. ADM systems are tools that leverage an algorithmic process to arrive at some form of decision such as a scoring, ranking, classification, or association that may then drive further system action and behavior. Such systems could be said to exhibit artificial intelligence (AI) insofar as they contribute to decision-making tasks that might normally be undertaken by humans. However, it is important to underscore that ADM systems must be understood as composites of nonhuman actors woven together with human actors such as designers, data-creators, maintainers, and operators into complex sociotechnical assemblages. If the end goal is accountability, then transparency must serve to help locate the various positions of human agency and responsibility in these large and complex sociotechnical assemblages. Ultimately, it is people who must be held accountable for the behavior of algorithmic systems. The chapter then highlights what is needed to realistically implement algorithmic transparency in terms of what is disclosed and how and to whom transparency information is disclosed.
Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.
If you have purchased a print title that contains an access token, please see the token for information about how to register your code.