## 2 Materials and Methods
\begin{table}
\begin{tabular}{l l l} \hline
**Bias Type** & **Publications Database** & **Search Query** \\ \hline Reporting & ACM & [[Abstract: “reporting bias”] OR [Abstract: “reporting biases”]] AND [Abstract: “machine learning”] AND [[Abstract: mitigation] OR [Abstract: identifying] OR [Abstract: addressing]] \\ \hline  & IEEE Xplore & ((“Abstract”:reporting bias) OR (“Abstract”:reporting biases)) AND \\  & & (“Abstract”:machine learning) AND ((“Abstract”:mitigation) OR (“Abstract”:identifying) OR (“Abstract”:identification) OR \\  & & (“Abstract”:addressing)) \\ \hline  & Scopus & TITLE-ABS-KEY ((“reporting bias” OR “reporting biases”) AND \"machine learning\" AND (mitigation OR identifying OR addressing)) \\ \hline  & Science Direct & Title, abstract, keywords: ((“reporting bias” OR “reporting biases”) AND “machine learning”) AND (mitigation OR mitigating OR identifying OR addressing)) \\ \hline Selection & ACM & [[Abstract: “selection bias”] OR [Abstract: “selection biases”]] AND [Abstract: “machine learning”] AND [[Abstract: mitigation] OR [Abstract: mitigating] OR [Abstract: identification] OR [Abstract: addressing]] \\ \hline  & IEEE Xplore & ((“Abstract”:selection bias) OR (“Abstract”:selection biases)) AND \\  & & (“Abstract”:machine learning) AND ((“Abstract”:mitigation) OR (“Abstract”:identifying) OR (“Abstract”:identification) OR \\  & & (“Abstract”:addressing)) \\ \hline  & Scopus & TITLE-ABS-KEY ((“selection bias” OR “selection biases”) AND “machine learning” AND (mitigation OR identifying OR addressing)) \\ \hline  & Science Direct & Title, abstract, keywords: ((“cognitive bias” OR “cognitive biases”) AND \"machine learning\") AND (mitigation OR mitigating OR identifying OR addressing)) \\ \hline Cognitive & ACM & [[Abstract: “cognitive bias”] OR [Abstract: “cognitive biases”]] AND [Abstract: “machine learning”] AND [[Abstract: mitigation] OR [Abstract: mitigating] OR [Abstract: identifying] OR [Abstract: identifying] OR [Abstract: addressing]] \\ \hline  & IEEE Xplore & ((“Abstract”:cognitive bias) OR (“Abstract”:cognitive biases)) AND (“Abstract”:machine learning”) AND [(“Abstract”:mitigating) OR (“Abstract”:identification) OR (“Abstract”:addressing)) \\ \hline  & Scopus & TITLE-ABS-KEY ((“cognitive bias” OR “cognitive biases”) AND “machine learning” AND (mitigation ORitizing OR addressing)) \\ \hline  & Science Direct & Title, abstract, keywords: ((“cognitive bias” OR “cognitive biases”) AND “machine learning” AND (mitigation OR mitigating OR identifying OR addressing)) \\ \hline Estimators & ACM & [[Abstract: “comparative study”] OR [Abstract: “review”]] AND [Abstract: “machine learning”] AND [Abstract: “algorithm”] AND [Abstract: “bias”] \\ \hline  & IEEE Xplore & ((“Abstract”:“comparative study” OR “Abstract”:“review”) AND (“Abstract”:“machine learning”) AND (“Abstract”:“machine learning”) AND (“Abstract”:“algorithm”) AND (“Abstract”:“bias”)) \\ \hline  & Scopus & TITLE-ABS-KEY (“comparative study” AND “machine learning” AND “algorithm” AND “bias”) AND (“military AND (“cluster”:“)) \\ \hline  & Science Direct & Title, abstract, keywords: (“comparative study” AND “machine learning” AND “algorithm” AND “bias”) AND (military AND (“cluster”:“)) \\ \hline  & Science Direct & Title, abstract, keywords: (“comparative study” AND “machine learning” AND “algorithm” AND “bias”) \\ \hline  & Science Direct & Title, abstract, keywords: (“comparative study” AND “machine learning” AND “algorithm” AND “bias”) \\ \hline  & Science Direct & Title, abstract, keywords: (“comparative study” AND “machine learning” AND “algorithm” AND “bias”) \\ \hline  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} \\ \end{tabular}
\end{table} 
Table 2: List of search queries performed. Having retrieved the research studies, a cleaning step took place where the duplicate studies were removed from the list of collected documents. Afterward, this list was further reduced, based on three (3) inclusion criteria (i.e., IC) and one (1) exclusion criterion (i.e., EC).