SIG ODIS - Artificial Intelligence and Semantic Technologies for Intelligent Systems
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Paper Type
Complete
Paper Number
1095
Description
With algorithm-based technology becoming increasingly omnipresent, concerns about the often-opaque nature of algorithms along with calls for greater algorithmic transparency (AT) have intensified. The study at hand responds to these calls by addressing the question of how and why companies disclose information on algorithms (“AT in action”). Drawing on a multiple-case design involving two companies with algorithm-enabled software offerings, the study finds 14 specific disclosure actions of companies and ten motives for them. The findings confirm the dimensions of input, transformation, and output AT suggested by extant theory and add three additional dimensions of disclosure (to whom, when, and by which means). Also, the findings suggest that norm-based motives (e.g., ethical beliefs to avoid discrimination) play a role for input AT (only), while benefit-based motives (e.g., increasing user adoption) prevail for other dimensions of AT.
Recommended Citation
Bitzer, Tobias, "Algorithmic Transparency in Action: How and Why Do Companies Disclose Information on Algorithms?" (2022). AMCIS 2022 Proceedings. 8.
https://aisel.aisnet.org/amcis2022/sig_odis/sig_odis/8
Algorithmic Transparency in Action: How and Why Do Companies Disclose Information on Algorithms?
With algorithm-based technology becoming increasingly omnipresent, concerns about the often-opaque nature of algorithms along with calls for greater algorithmic transparency (AT) have intensified. The study at hand responds to these calls by addressing the question of how and why companies disclose information on algorithms (“AT in action”). Drawing on a multiple-case design involving two companies with algorithm-enabled software offerings, the study finds 14 specific disclosure actions of companies and ten motives for them. The findings confirm the dimensions of input, transformation, and output AT suggested by extant theory and add three additional dimensions of disclosure (to whom, when, and by which means). Also, the findings suggest that norm-based motives (e.g., ethical beliefs to avoid discrimination) play a role for input AT (only), while benefit-based motives (e.g., increasing user adoption) prevail for other dimensions of AT.
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