Probabilistic Causal Modeling of Barriers to Accessibility for Persons with Disabilities in Canada DOI Creative Commons
Mouri Zakir, Gregor Wolbring, Svetlana Yanushkevich

et al.

Smart Cities, Journal Year: 2024, Volume and Issue: 8(1), P. 4 - 4

Published: Dec. 24, 2024

This paper utilizes a methodological two-step process incorporating statistical and causal probabilistic modeling techniques to investigate factors affecting the accessibility experiences of persons with disabilities in Canada. We deploy network-based approach using empirical data perform holistic assessment relations between various demographic features (e.g., age, gender type disability) barriers. A measurement method is applied that structural equation supported by exploratory factor analysis. For modeling, Bayesian networks are employed as straightforward compact way interpret knowledge representation. reasoning analyzes nature frequency encountering barriers based on understand risk contributing pressing issues. Furthermore, evaluate network performance overcome any limitations, synthetic generation create validate artificial built real-world knowledge. The proposed framework strives provide prevalence physical, social, communication or technological encountered their daily lives. study contributes identification areas for prioritization facilitating regulation practices realize an inclusive society.

Language: Английский

Creating visualizations using generative AI to guide decision-making in street designs: A viewpoint DOI
Gabriel Valença, Carlos Lima Azevedo, Filipe Moura

et al.

Journal of Urban Mobility, Journal Year: 2025, Volume and Issue: 7, P. 100104 - 100104

Published: Jan. 21, 2025

Language: Английский

Citations

0
Complex systems perspective in assessing risks in artificial intelligence DOI Creative Commons

Dániel Kondor,

Valerie Hafez,

Sheshank Shankar

et al.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2024, Volume and Issue: 382(2285)

Published: Nov. 13, 2024

In this article, we identify challenges in the complex interaction between artificial intelligence (AI) systems and society. We argue that AI need to be studied their socio-political context able better appreciate a diverse set of potential outcomes emerge from long-term feedback technological development, inequalities collective decision-making processes. This means assessing risks deployment any specific technology presents unique challenges. propose risk assessments concerning should incorporate perspective, with adequate models can represent short- effects feedback, along an emphasis on increasing public engagement participation process. article is part theme issue ‘Co-creating future: participatory cities digital governance’.

Language: Английский

Citations

2
Probabilistic Causal Modeling of Barriers to Accessibility for Persons with Disabilities in Canada DOI Creative Commons
Mouri Zakir, Gregor Wolbring, Svetlana Yanushkevich

et al.

Smart Cities, Journal Year: 2024, Volume and Issue: 8(1), P. 4 - 4

Published: Dec. 24, 2024

This paper utilizes a methodological two-step process incorporating statistical and causal probabilistic modeling techniques to investigate factors affecting the accessibility experiences of persons with disabilities in Canada. We deploy network-based approach using empirical data perform holistic assessment relations between various demographic features (e.g., age, gender type disability) barriers. A measurement method is applied that structural equation supported by exploratory factor analysis. For modeling, Bayesian networks are employed as straightforward compact way interpret knowledge representation. reasoning analyzes nature frequency encountering barriers based on understand risk contributing pressing issues. Furthermore, evaluate network performance overcome any limitations, synthetic generation create validate artificial built real-world knowledge. The proposed framework strives provide prevalence physical, social, communication or technological encountered their daily lives. study contributes identification areas for prioritization facilitating regulation practices realize an inclusive society.

Language: Английский

Citations

0