Human-Centered AI

Barmer, Hollen; Dzombak, Rachel; Gaston, Matthew E.; Palat, Vijaykumar; Redner, Frank; Smith, Carol A.; Smith, Tanisha

doi:10.1184/r1/16560183.v1

Cited by 2 publications

(1 citation statement)

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“…The study examines the challenges of developing international standards for trustworthy AI and proposes a minimal preliminary model for functional roles relevant to trustworthy AI [27]. Another study discusses the importance of humancentred AI and the need for critical and reflective oversight by organizations, teams, and individuals that create and use AI systems to uphold ethical principles and proactively consider the risks of bias, misuse, abuse, and unintended consequences [28].…”

Section: Ai Integration In Public Safety Governance and Crisis Manage...mentioning

confidence: 99%

Construction and Path of Urban Public Safety Governance and Crisis Management Optimization Model Integrating Artificial Intelligence Technology

Wang

2023

Sustainability

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As urbanization and population growth continue to accelerate in China, maintaining public safety and crisis management has become increasingly complex. To address this issue, this research article proposes a new model for optimizing urban public safety governance and crisis management by integrating artificial intelligence (AI) technology with a focus on sustainability. This study aims to explore the construction and path of an urban public safety governance and crisis management optimization model integrating artificial intelligence (AI) technology in China. We developed a linear regression model to examine the relationship between public safety technologies and outcomes, with public safety outcomes (PSO) as the dependent variable and public safety governance structure (PSGS), AI-driven data collection and analysis (AIDC&A), crisis prediction and early warning system (CPEWS), AI-assisted decision-making (AIADM), and public safety response mechanisms (PSRM) as independent variables. The model summary revealed that the independent variables accounted for a moderate proportion of the variance in public safety outcomes, with an R² value of 0.5 and an adjusted R² value of 0.45. The results supported the hypothesis that the integration of different public safety technologies has a positive impact on public safety outcomes. The effective governance structure, AI-driven data collection and analysis, crisis prediction and early warning system, AI-assisted decision-making, and efficient public safety response mechanisms were all found to be crucial for enhancing public safety outcomes. The proposed model was validated through a case study in a Chinese city, with feedback from stakeholders confirming its effectiveness. Overall, the findings suggest that the urban public safety governance and crisis management optimization model integrating AI technology can significantly improve public safety management in urban areas.

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Section: Ai Integration In Public Safety Governance and Crisis Manage...mentioning

confidence: 99%

Construction and Path of Urban Public Safety Governance and Crisis Management Optimization Model Integrating Artificial Intelligence Technology

Wang

2023

Sustainability

View full text Add to dashboard Cite

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Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Sun

Zhou

et al. 2023

AIEDAM

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With the increasing utilization of machine learning (ML) to enhance products’ capabilities, the design research community has begun to explore how to support the conceptual design of ML-enhanced products. However, UX value creation of ML-enhanced products is still challenging because of ML's unique characteristics and numerous complex factors in conceptual design. To help designers create UX value for ML-enhanced products, we developed the UX value framework and the CoMLUX design process. The proposed framework describes how ML, stakeholders, and context co-create the UX value of ML-enhanced products, and identifies the growability and opacity of ML, helping designers systematically understand the co-creators while avoiding cognitive overload. The CoMLUX design process provides practical guidance for designing ML-enhanced products with growability and transparency. At last, we demonstrate the usage methods of the framework and process in an actual project and summarize the inspirations and limitations of our work.

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Human-Centered AI

Cited by 2 publications

References 0 publications

Construction and Path of Urban Public Safety Governance and Crisis Management Optimization Model Integrating Artificial Intelligence Technology

Construction and Path of Urban Public Safety Governance and Crisis Management Optimization Model Integrating Artificial Intelligence Technology

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

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