Deepfakes, phrenology, surveillance, and more! a taxonomy of ai privacy risks

HP Lee, YJ Yang, TS Von Davier, J Forlizzi… - Proceedings of the 2024 …, 2024 - dl.acm.org
Privacy is a key principle for develo** ethical AI technologies, but how does including AI
technologies in products and services change privacy risks? We constructed a taxonomy of …

Limited benefits of technological advances in human service organizations: Going beyond the hype using sociotechnical knowledge management system

K Jang, NG Landuyt - Journal of Social Service Research, 2023 - Taylor & Francis
This study investigates the issue of underwhelming effectiveness in Information
Communication Technology (ICT) by employing a sociotechnical knowledge management …

Wikibench: Community-driven data curation for ai evaluation on wikipedia

TS Kuo, AL Halfaker, Z Cheng, J Kim, MH Wu… - Proceedings of the …, 2024 - dl.acm.org
AI tools are increasingly deployed in community contexts. However, datasets used to
evaluate AI are typically created by developers and annotators outside a given community …

Understanding uncertainty: how lay decision-makers perceive and interpret uncertainty in human-AI decision making

S Prabhudesai, L Yang, S Asthana, X Huan… - Proceedings of the 28th …, 2023 - dl.acm.org
Decision Support Systems (DSS) based on Machine Learning (ML) often aim to assist lay
decision-makers, who are not math-savvy, in making high-stakes decisions. However …

Investigating and designing for trust in AI-powered code generation tools

R Wang, R Cheng, D Ford, T Zimmermann - Proceedings of the 2024 …, 2024 - dl.acm.org
Trust is a crucial factor for the adoption and responsible usage of generative AI tools in
complex tasks such as software engineering. However, we have a limited understanding of …

Metawriter: Exploring the potential and perils of ai writing support in scientific peer review

L Sun, S Tao, J Hu, SP Dow - Proceedings of the ACM on Human …, 2024 - dl.acm.org
Recent advances in Large Language Models (LLMs) show the potential to significantly
augment or even replace complex human writing activities. However, for complex tasks …

The situate AI Guidebook: Co-designing a toolkit to support multi-stakeholder, early-stage deliberations around public sector AI proposals

A Kawakami, A Coston, H Zhu, H Heidari… - Proceedings of the 2024 …, 2024 - dl.acm.org
Public sector agencies are rapidly deploying AI systems to augment or automate critical
decisions in real-world contexts like child welfare, criminal justice, and public health. A …

Sketching ai concepts with capabilities and examples: ai innovation in the intensive care unit

N Yildirim, S Zlotnikov, D Sayar, JM Kahn… - Proceedings of the …, 2024 - dl.acm.org
Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet
innovation teams struggle when envisioning AI concepts. Data science teams think of …

Rethinking" Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare

D Saxena, ESY Moon, A Chaurasia, Y Guan… - Proceedings of the 2023 …, 2023 - dl.acm.org
Risk assessment algorithms are being adopted by public sector agencies to make high-
stakes decisions about human lives. Algorithms model “risk” based on individual client …

Towards a social ecological approach to supporting caseworkers in promoting the online safety of youth in foster care

K Badillo-Urquiola, Z Agha, D Abaquita… - Proceedings of the …, 2024 - dl.acm.org
This research examines how caseworkers collaborate with foster families to address
adolescent online safety. We interviewed 32 caseworkers who worked with teens (ages 13 …