Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI

Holzinger, Andreas; Weippl, Edgar; Tjoa, A. Min; Kieseberg, Peter

doi:10.1007/978-3-030-84060-0_1

Cited by 53 publications

(26 citation statements)

References 62 publications

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“…Therefore, all stakeholders - governments, policymakers, and industry - must work with academia to ensure that new technologies are developed with these potential threats in mind and that the security, traceability, transparency, explainability, validity, and verifiability of AI applications in our everyday lives are ensured. It is the responsibility of all stakeholders to ensure the use of trustworthy and ethically reliable AI and to avoid the misuse of AI technologies [ 74 , 75 ]. Finally, one can conclude, first, the strong relation between the implemented functional and non-functional requirements from presented solutions and the enabling technologies (see Table 2 ).…”

Section: Discussion and Research Findingsmentioning

confidence: 99%

Systematic review of co-design in digital health for COVID-19 research

Nusir

Rekik

2022

Univ Access Inf Soc

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Improving the quality of digital health care through information and communication technology can mainly contribute to the clinical, social, financial, and economic systems’ success, especially during the COVID-19 pandemic period. The co-design approach, which unleashes the end-user power, can contribute actively in improving the healthcare systems. It deals with understanding the user behaviors, requirements, and motivations through observation, inspection, task analysis, and feedback techniques. Consequently, both the co-design and digital technologies might empower the management of patients’ health and that of their families. The research strategy is based on a systematic literature review and meta-analysis to summarize how the co-design methodologies handled the existing technology-based health systems for their improvement. Based on the findings, we establish the following hypotheses: (i) A user-centered methodology for service implementation might offer a promising tool to enhance the healthcare services quality before they be launched; (ii) Several limitations can affect the co-design approach in digital health, such as a bias for a patients’ group. Efforts have been made to reduce this risk by identifying bias at an early stage, or different groups should be included in the test phase for example; (iii) Use decision-making devices that handle technologies for patient and clinical healthcare solution

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Section: Discussion and Research Findingsmentioning

confidence: 99%

Systematic review of co-design in digital health for COVID-19 research

Nusir

Rekik

2022

Univ Access Inf Soc

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“…While AI and DL models have the potential to improve predictive accuracy, productivity, performance, and cost-effectiveness in medicine, they also raise concerns related to patient-physician relationships, data security, and privacy [104]. The large-scale adoption of AI technologies poses potential threats that should be considered in the development of AI so that the security, traceability, transparency, explainability, validity, and verifiability of AI applications are ensured in our everyday lives [105]. In low-and middle-income countries, there is an increased need for research on user-centered AI and ML models, with implementation and adherence to statistical, ethical, and regulatory global standards and guidelines being essential [103].…”

Section: Sdg 3: Good Health and Wellbeingmentioning

confidence: 99%

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

et al. 2022

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The United Nations’ Sustainable Development Goals (SDGs) set out to improve the quality of life of people in developed, emerging, and developing countries by covering social and economic aspects, with a focus on environmental sustainability. At the same time, data-driven technologies influence our lives in all areas and have caused fundamental economical and societal changes. This study presents a comprehensive literature review on how data-driven approaches have enabled or inhibited the successful achievement of the 17 SDGs to date. Our findings show that data-driven analytics and tools contribute to achieving the 17 SDGs, e.g., by making information more reliable, supporting better-informed decision-making, implementing data-based policies, prioritizing actions, and optimizing the allocation of resources. Based on a qualitative content analysis, results were aggregated into a conceptual framework, including the following categories: (1) uses of data-driven methods (e.g., monitoring, measurement, mapping or modeling, forecasting, risk assessment, and planning purposes), (2) resulting positive effects, (3) arising challenges, and (4) recommendations for action to overcome these challenges. Despite positive effects and versatile applications, problems such as data gaps, data biases, high energy consumption of computational resources, ethical concerns, privacy, ownership, and security issues stand in the way of achieving the 17 SDGs.

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“…Many studies have been conducted to examine the development of forests and the role of AI. Holzinger et al (2021) stressed the potential of AI in providing enormous advantages to the environment and humanity. AI can provide significant assistance in finding solutions for the most critical challenges concerning forest ecosystem and agriculture.…”

Section: Forest Ecosystem Developmentmentioning

confidence: 99%

Property Management Enabled by Artificial Intelligence Post Covid-19: An Exploratory Review and Future Propositions

Naz

Upadhyay

Chokshi

et al. 2022

International Journal of Strategic Property Management

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The Covid-19 pandemic outbreak across the globe has disrupted human life and industry. The pandemic has affected every sector, with the real estate sector facing particular challenges. During the pandemic, property management became a crucial task and property managers were challenged to control risks and disruptions faced by their organizations. Recent innovative technologies, including artificial intelligence (AI), have supported many sectors through sudden disruptions; this study was performed to examine the role of AI in the real estate and property management (PM) sectors. For this purpose, a systematic literature review was conducted using structural topic modeling and bibliometric analysis. Using appropriate keywords, the researchers found 175 articles on AI and PM research from 1980 to 2021 in the SCOPUS database. A bibliometric analysis was performed to identify research trends. Structural topic modelling (STM) identified ten emerging thematic topics in AI and PM. A comprehensive framework is proposed, and future research directions discussed.

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Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI

Cited by 53 publications

References 62 publications

Systematic review of co-design in digital health for COVID-19 research

Systematic review of co-design in digital health for COVID-19 research

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

Property Management Enabled by Artificial Intelligence Post Covid-19: An Exploratory Review and Future Propositions

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