information designPareto frontierAlgorithms are widely used to guide high-stakes decisions, from medical recommen- dations to loan approvals. Designers are increasingly optimizing not only forLiang, AnnieLu, JayMu, XiaoshengSocial Science Electronic Publishing...
To achieve this, companies need to consider the fairness, accuracy, transparency, and ethics — the so-called FATE — of algorithm design.Blind, data-driven algorithmic optimization of a seemingly sensible objective can lead to unexpected and undesirable side effects.” Share to: Twitter Facebook ...
Most ML techniques still focus on traditional objectives of maximising accuracy and performance with respect to the known value of \(Y\). Merely adding constraints to this optimisation in the form of technical metrics creates tensions between fairness and accuracy. This is often referred to as the...
Based on user-related data, an algorithmic news recommendation service (ANRS) predicts users’ reading preferences and selectively recommends news. Given the double-edged opinions on ANRS, identifying and managing crucial factors influencing users’ sati
Future work could similarly examine how specific design decisions of ADM (including the use of AI and different types of machine learning) impact business ethics outcomes such as justice, fairness, trust, and legitimacy. For example, scholarship could investigate how data, governance, outcomes, and...
Algorithms as work designers: How algorithmic management influences the design of jobs Human Resource Management Review, Volume 32, Issue 3, 2022, Article 100838 Xavier Parent-Rocheleau, Sharon K. Parker A critical review of algorithms in HRM: Definition, theory, and practice Human Resource Managemen...
The machine learning community has become alert to the ways that predictive algorithms can inadvertently introduce unfairness in decision-making. Herein, we discuss how concepts of algorithmic fairness might apply in healthcare, where predictive algorith
On a broader level, future research may need to reconnect to debates on justice and fairness in pricing (Elegido2009; Monsalve2014). If a fair price of a good or service is one equal to its value (Elegido2015), how can such value equivalence be discerned in the age of algorithmic prici...
Here we focus on the trade-off in the extent to which one can pursue indirect non-discrimination versus predictive accuracy. The moral assessment of this trade-off is related to the context of application鈥攖o the consequences of inaccurate risk predictions in the insurance domain....