Improving human-AI partnerships in child welfare: understanding worker practices, challenges, and desires for algorithmic decision support
AI-based decision support tools (ADS) are increasingly used to augment human decision-
making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is …
making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is …
The participatory turn in ai design: Theoretical foundations and the current state of practice
Despite the growing consensus that stakeholders affected by AI systems should participate
in their design, enormous variation and implicit disagreements exist among current …
in their design, enormous variation and implicit disagreements exist among current …
Toward general design principles for generative AI applications
Generative AI technologies are growing in power, utility, and use. As generative
technologies are being incorporated into mainstream applications, there is a need for …
technologies are being incorporated into mainstream applications, there is a need for …
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
Recent years have seen growing adoption of AI-based decision-support systems (ADS) in
homeless services, yet we know little about stakeholder desires and concerns surrounding …
homeless services, yet we know little about stakeholder desires and concerns surrounding …
How child welfare workers reduce racial disparities in algorithmic decisions
Machine learning tools have been deployed in various contexts to support human decision-
making, in the hope that human-algorithm collaboration can improve decision quality …
making, in the hope that human-algorithm collaboration can improve decision quality …
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Child welfare agencies across the United States are turning to data-driven predictive
technologies (commonly called predictive analytics) which use government administrative …
technologies (commonly called predictive analytics) which use government administrative …
Does digital government hollow out the essence of street‐level bureaucracy? A systematic literature review of how digital tools' foster curtailment, enablement and …
J Marienfeldt - Social Policy & Administration, 2024 - Wiley Online Library
The growing use of digital tools in policy implementation has altered the work of street‐level
bureaucrats who are granted substantial discretionary power in decision‐making. Digital …
bureaucrats who are granted substantial discretionary power in decision‐making. Digital …
Designing fair AI in human resource management: Understanding tensions surrounding algorithmic evaluation and envisioning stakeholder-centered solutions
Enterprises have recently adopted AI to human resource management (HRM) to evaluate
employees' work performance evaluation. However, in such an HRM context where multiple …
employees' work performance evaluation. However, in such an HRM context where multiple …
Deliberating with AI: improving decision-making for the future through participatory AI design and stakeholder deliberation
A Zhang, O Walker, K Nguyen, J Dai, A Chen… - Proceedings of the …, 2023 - dl.acm.org
Research exploring how to support decision-making has often used machine learning to
automate or assist human decisions. We take an alternative approach for improving decision …
automate or assist human decisions. We take an alternative approach for improving decision …
Better together? an evaluation of ai-supported code translation
Generative machine learning models have recently been applied to source code, for use
cases including translating code between programming languages, creating documentation …
cases including translating code between programming languages, creating documentation …