inSIDE Fair Dialogues: Assessing and Maintaining Fairness in Human-Computer-Interaction

Designing fair AI for managing employees in organizations: a review, critique, and design agenda

“…These papers could be divided into those that primarily focused on informational fairness, those that primarily focused on interpersonal fairness, and those that focused on both. Terms like transparency, along with comprehensive and unbiased presentation of information, were used in papers we categorized as informational fairness (Abrams et al, 2019;Janzen, Bleymehl, Alam, Xu, & Stein, 2018;Ötting & Maier, 2018). For example, Abrams et al (2019) presented and discussed an ethical framework along with values and core principles to guide the design and use of AI.…”

“…Terms like cooperation and respect were used in the papers we categorized as interpersonal fairness (Brown et al, 2019;Daugherty et al, 2019;De Jong et al, 2008;Janzen et al, 2018). For example, Janzen et al (2018) focused on interpersonal fairness between a human and a dialogue system.…”

“…Terms like cooperation and respect were used in the papers we categorized as interpersonal fairness (Brown et al, 2019;Daugherty et al, 2019;De Jong et al, 2008;Janzen et al, 2018). For example, Janzen et al (2018) focused on interpersonal fairness between a human and a dialogue system. They referred to a type of equitable satisfaction based on both cooperative and competitive motives-cooperative in that the dialogue system wants to provide the customer with comprehensive information regarding a product, and competitive in that the customer wants to buy the best product at the best price, which might result in a loss of sale for the dialogue system.…”