Fairness perceptions of artificial intelligence: A review and path forward
A key insight from research on organizational justice is that fairness is in the eye of the
beholder. With increasing discussions–especially among computer scientists and …
beholder. With increasing discussions–especially among computer scientists and …
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice
Recent years have seen growing interest among both researchers and practitioners in user-
engaged approaches to algorithm auditing, which directly engage users in detecting …
engaged approaches to algorithm auditing, which directly engage users in detecting …
[HTML][HTML] Artificial intelligence and knowledge sharing: Contributing factors to organizational performance
The evolution of organizational processes and performance over the past decade has been
largely enabled by cutting-edge technologies such as data analytics, artificial intelligence …
largely enabled by cutting-edge technologies such as data analytics, artificial intelligence …
What is AI literacy? Competencies and design considerations
Artificial intelligence (AI) is becoming increasingly integrated in user-facing technology, but
public understanding of these technologies is often limited. There is a need for additional …
public understanding of these technologies is often limited. There is a need for additional …
Factors influencing perceived fairness in algorithmic decision-making: Algorithm outcomes, development procedures, and individual differences
Algorithmic decision-making systems are increasingly used throughout the public and
private sectors to make important decisions or assist humans in making these decisions with …
private sectors to make important decisions or assist humans in making these decisions with …
Building and auditing fair algorithms: A case study in candidate screening
Academics, activists, and regulators are increasingly urging companies to develop and
deploy sociotechnical systems that are fair and unbiased. Achieving this goal, however, is …
deploy sociotechnical systems that are fair and unbiased. Achieving this goal, however, is …
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
A growing body of literature has proposed formal approaches to audit algorithmic systems
for biased and harmful behaviors. While formal auditing approaches have been greatly …
for biased and harmful behaviors. While formal auditing approaches have been greatly …
Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior
Recent work in HCI suggests that users can be powerful in surfacing harmful algorithmic
behaviors that formal auditing approaches fail to detect. However, it is not well understood …
behaviors that formal auditing approaches fail to detect. However, it is not well understood …
Elevating talents' experience through innovative artificial intelligence-mediated knowledge sharing: Evidence from an IT-multinational enterprise
Managing talent and growth in sizeable global information technology (IT) multinational
enterprises (MNE) facing technological disruption requires a well-developed innovation …
enterprises (MNE) facing technological disruption requires a well-developed innovation …
[HTML][HTML] Digital interaction literacy model–Conceptualizing competencies for literate interactions with voice-based AI systems
AI-based systems, and especially voice-based AI systems, are gaining popularity and set
novel requirements for end users. Research has provided first approaches postulating and …
novel requirements for end users. Research has provided first approaches postulating and …