[{"title":"Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research","user_id":"77643","abstract":[{"lang":"eng","text":"Algorithmic fairness in Information Systems (IS) is a concept that aims to mitigate systematic discrimination and bias in automated decision-making. However, previous research argued that different fairness criteria are often incompatible. In hiring, AI is used to assess and rank applicants according to their fit for vacant positions. However, various types of bias also exist for AI-based algorithms (e.g., using biased historical data). To reduce AI’s bias and thereby unfair treatment, we conducted a systematic literature review to identify suitable strategies for the context of hiring. We identified nine fundamental articles in this context and extracted four types of approaches to address unfairness in AI, namely pre-process, in-process, post-process, and feature selection. Based on our findings, we (a) derived a research agenda for future studies and (b) proposed strategies for practitioners who design and develop AIs for hiring purposes."}],"date_created":"2022-09-27T12:39:12Z","status":"public","publication":"Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS)","keyword":["fairness in AI","SLR","hiring","AI implementation","AI-based algorithms"],"author":[{"first_name":"Jonas","full_name":"Rieskamp, Jonas","last_name":"Rieskamp","id":"77643"},{"first_name":"Lennart","full_name":"Hofeditz, Lennart","last_name":"Hofeditz"},{"last_name":"Mirbabaie","id":"88691","first_name":"Milad","full_name":"Mirbabaie, Milad"},{"first_name":"Stefan","full_name":"Stieglitz, Stefan","last_name":"Stieglitz"}],"conference":{"start_date":"2023-01-03","name":"Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS)","end_date":"2023-01-06"},"_id":"33490","date_updated":"2023-02-06T14:39:51Z","year":"2023","type":"conference","citation":{"ieee":"J. Rieskamp, L. Hofeditz, M. Mirbabaie, and S. Stieglitz, “Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research,” presented at the Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2023.","short":"J. Rieskamp, L. Hofeditz, M. Mirbabaie, S. Stieglitz, in: Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2023.","bibtex":"@inproceedings{Rieskamp_Hofeditz_Mirbabaie_Stieglitz_2023, title={Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research}, booktitle={Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS)}, author={Rieskamp, Jonas and Hofeditz, Lennart and Mirbabaie, Milad and Stieglitz, Stefan}, year={2023} }","mla":"Rieskamp, Jonas, et al. “Approaches to Improve Fairness When Deploying AI-Based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research.” Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2023.","chicago":"Rieskamp, Jonas, Lennart Hofeditz, Milad Mirbabaie, and Stefan Stieglitz. “Approaches to Improve Fairness When Deploying AI-Based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research.” In Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), 2023.","ama":"Rieskamp J, Hofeditz L, Mirbabaie M, Stieglitz S. Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research. In: Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS). ; 2023.","apa":"Rieskamp, J., Hofeditz, L., Mirbabaie, M., & Stieglitz, S. (2023). Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research. Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS). Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS)."},"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://hdl.handle.net/10125/102654"}]},{"language":[{"iso":"eng"}],"doi":"10.24963/ijcai.2022/64","date_updated":"2022-11-08T17:34:36Z","editor":[{"first_name":"Luc","full_name":"De Raedt, Luc","last_name":"De Raedt"}],"publication_status":"published","department":[{"_id":"63"},{"_id":"541"}],"title":"Fair, Individually Rational and Cheap Adjustment","citation":{"short":"G. Polevoy, M. Dziubiński, in: L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, 2022.","ieee":"G. Polevoy and M. Dziubiński, “Fair, Individually Rational and Cheap Adjustment,” in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, Vienna, 2022, doi: 10.24963/ijcai.2022/64.","chicago":"Polevoy, Gleb, and Marcin Dziubiński. “Fair, Individually Rational and Cheap Adjustment.” In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, edited by Luc De Raedt. International Joint Conferences on Artificial Intelligence Organization, 2022. https://doi.org/10.24963/ijcai.2022/64.","apa":"Polevoy, G., & Dziubiński, M. (2022). Fair, Individually Rational and Cheap Adjustment. In L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2022/64","ama":"Polevoy G, Dziubiński M. Fair, Individually Rational and Cheap Adjustment. In: De Raedt L, ed. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization; 2022. doi:10.24963/ijcai.2022/64","bibtex":"@inproceedings{Polevoy_Dziubiński_2022, title={Fair, Individually Rational and Cheap Adjustment}, DOI={10.24963/ijcai.2022/64}, booktitle={Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence}, publisher={International Joint Conferences on Artificial Intelligence Organization}, author={Polevoy, Gleb and Dziubiński, Marcin}, editor={De Raedt, Luc}, year={2022} }","mla":"Polevoy, Gleb, and Marcin Dziubiński. “Fair, Individually Rational and Cheap Adjustment.” Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, edited by Luc De Raedt, International Joint Conferences on Artificial Intelligence Organization, 2022, doi:10.24963/ijcai.2022/64."},"type":"conference","year":"2022","main_file_link":[{"url":"https://www.ijcai.org/proceedings/2022/64"}],"_id":"34040","conference":{"end_date":"2022-07-29","location":"Vienna","start_date":"2022-07-23","name":"THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE"},"status":"public","date_created":"2022-11-08T16:53:31Z","publisher":"International Joint Conferences on Artificial Intelligence Organization","author":[{"last_name":"Polevoy","id":"83983","first_name":"Gleb","full_name":"Polevoy, Gleb"},{"last_name":"Dziubiński","first_name":"Marcin","full_name":"Dziubiński, Marcin"}],"keyword":["adjustment","strictly dominant","fairness","individually rational","transfer","tax","subsidy"],"publication":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","user_id":"83983","abstract":[{"text":"Consider the practical goal of making a desired action profile played,\r\n\r\nwhen the planner can only change the payoffs, bound by \r\n\r\nstringent constraints.\r\n\r\nApplications include motivating people\r\n\r\nto choose the closest school, the closest subway station, or to coordinate\r\n\r\non a communication protocol or an investment strategy.\r\n\r\nEmploying subsidies and tolls, we adjust the game so that choosing this predefined action profile\r\n\r\nbecomes strictly dominant. \r\n\r\nInspired mainly by the work of Monderer and Tennenholtz,\r\n\r\nwhere the promised subsidies do not materialise in the not played\r\n\r\nprofiles, we provide a fair and individually rational game\r\n\r\nadjustment, such that the total outside investments sum up\r\n\r\nto zero at any profile, thereby facilitating easy and frequent\r\n\r\nusage of our adjustment without bearing costs, even if some\r\n\r\nplayers behave unexpectedly. The resultant action profile itself needs no\r\n\r\nadjustment. Importantly, we also prove that our adjustment minimises \r\n\r\nthe general transfer among all such adjustments, counting the total subsidising and taxation.","lang":"eng"}]},{"intvolume":" 119","_id":"8873","citation":{"short":"J.M.J. Heinzel, Credence Goods Markets with Fair and Opportunistic Experts, CIE Working Paper Series, Paderborn University, 2019.","ieee":"J. M. J. Heinzel, Credence Goods Markets with Fair and Opportunistic Experts, vol. 119. Paderborn University: CIE Working Paper Series, 2019.","ama":"Heinzel JMJ. Credence Goods Markets with Fair and Opportunistic Experts. Vol 119. Paderborn University: CIE Working Paper Series; 2019.","apa":"Heinzel, J. M. J. (2019). Credence Goods Markets with Fair and Opportunistic Experts (Vol. 119). Paderborn University: CIE Working Paper Series.","chicago":"Heinzel, Joachim Maria Josef. Credence Goods Markets with Fair and Opportunistic Experts. Vol. 119. CIE Working Paper Series. Paderborn University: CIE Working Paper Series, 2019.","mla":"Heinzel, Joachim Maria Josef. Credence Goods Markets with Fair and Opportunistic Experts. Vol. 119, CIE Working Paper Series, 2019.","bibtex":"@book{Heinzel_2019, place={Paderborn University}, series={CIE Working Paper Series}, title={Credence Goods Markets with Fair and Opportunistic Experts}, volume={119}, publisher={CIE Working Paper Series}, author={Heinzel, Joachim Maria Josef}, year={2019}, collection={CIE Working Paper Series} }"},"type":"report","year":"2019","abstract":[{"lang":"eng","text":"We analyze a credence goods market adapted to a health care market with regulated prices, where physicians are heterogeneous regarding their fairness concerns. The opportunistic physicians only consider monetary incentives while the fair physicians, in addition to a monetary payoff, gain an non-monetary utility from being honest towards patients. We investigate how this heterogeneity affects the physicians’ equilibrium level of overcharging and the patients’ search for second opinions (which determines overall welfare). The impact of the heterogeneity on the fraud level is ambiguous and depends on several factors such as the size of the fairness utility, the share of fair physicians, the search level and the initial fraud level. Introducing heterogeneity does not affect the fraud or the search level when the share of fair physicians is small. However, when social welfare is not at its maximum, social welfare always increases if we introduce a sufficiently large share of fair physicians."}],"ddc":["330"],"user_id":"53445","keyword":["credence goods","heterogeneous experts","fairness","overcharging"],"file_date_updated":"2019-04-11T08:23:33Z","author":[{"full_name":"Heinzel, Joachim Maria Josef","first_name":"Joachim Maria Josef","id":"53445","last_name":"Heinzel"}],"publisher":"CIE Working Paper Series","file":[{"file_size":315297,"file_id":"8875","creator":"jheinzel","date_updated":"2019-04-11T08:23:33Z","content_type":"application/pdf","relation":"main_file","success":1,"file_name":"WP119.pdf","date_created":"2019-04-11T08:23:33Z","access_level":"closed"}],"volume":119,"jel":["D82","I11","L15"],"date_created":"2019-04-11T08:13:53Z","status":"public","has_accepted_license":"1","date_updated":"2022-01-06T07:04:05Z","series_title":"CIE Working Paper Series","language":[{"iso":"eng"}],"place":"Paderborn University","title":"Credence Goods Markets with Fair and Opportunistic Experts","department":[{"_id":"280"},{"_id":"475"},{"_id":"200"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - Project Area A"},{"name":"SFB 901 - Subproject A3","_id":"7"}]}]