Considerations for development and use of AI in response to COVID-19

International Journal of Information Management, Год журнала: 2020, Номер 55, С. 102170 - 102170

Опубликована: Июнь 8, 2020

Язык: Английский

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Is COVID-19 pushing us to the Fifth Industrial Revolution (Society 5.0)?

Pakistan Journal of Medical Sciences, Год журнала: 2021, Номер 37(2)

Опубликована: Янв. 4, 2021

The coronavirus disease 2019 (COVID-19) pandemic may further promote the development of Industry 4.0 leading to fifth industrial revolution (Society 5.0). technology such as Big Data (BD) and Artificial Intelligence (AI) lead a personalized system healthcare in Pakistan. final bridge between humans machines is Society 5.0, also known super-smart society that employs AI manufacturing logistics. In this communication, we review various 5.0 technologies including robotics being inspected control rate transmission COVID-19 globally. We demonstrate applicability advanced information AI, BD, Information Technology (IoT) healthcare. Lastly, discuss evolution given impact accordance with technological strategies considered employed. doi: https://doi.org/10.12669/pjms.37.2.3387 How cite this:Sarfraz Z, Sarfraz A, Iftikar HM, Akhund R. Is pushing us Fifth Industrial Revolution 5.0)? Pak J Med Sci. 2021;37(2):591-594. This an Open Access article distributed under terms Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, reproduction any medium, provided original work properly cited.

Язык: Английский

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CovidSens: a vision on reliable social sensing for COVID-19

Artificial Intelligence Review, Год журнала: 2020, Номер 54(1), С. 1 - 25

Опубликована: Июнь 12, 2020

With the spiraling pandemic of Coronavirus Disease 2019 (COVID-19), it has becoming inherently important to disseminate accurate and timely information about disease. Due ubiquity Internet connectivity smart devices, social sensing is emerging as a dynamic AI-driven paradigm extract real-time observations from online users. In this paper, we propose CovidSens, vision sensing-based risk alert systems spontaneously obtain analyze data infer state COVID-19 propagation. CovidSens can actively help keep general public informed spread identify risk-prone areas by inferring future propagation patterns. The concept motivated three observations: (1) people have been sharing their health experience via media, (2) official warning channels news agencies are relatively slower than reporting experiences on (3) users frequently equipped with substantially capable mobile devices that able perform non-trivial on-device computation for processing analytics. We envision an unprecedented opportunity leverage posts generated ordinary build analytic system gathering circulating vital Specifically, attempts answer questions: How distill reliable coexistence prevailing rumors misinformation in media? inform latest effectively, them remain prepared? computational power edge (e.g., smartphones, IoT UAVs) construct fully integrated edge-based platforms rapid detection spread? discuss roles potential challenges developing systems. approaches originating multiple disciplines AI, estimation theory, machine learning, constrained optimization) be effective addressing challenges. Finally, outline few research directions work CovidSens.

Язык: Английский

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A sociotechnical view of algorithmic fairness

Information Systems Journal, Год журнала: 2021, Номер 32(4), С. 754 - 818

Опубликована: Окт. 7, 2021

Abstract Algorithmic fairness (AF) has been framed as a newly emerging technology that mitigates systemic discrimination in automated decision‐making, providing opportunities to improve information systems (IS). However, based on state‐of‐the‐art literature review, we argue is an inherently social concept and technologies for AF should therefore be approached through sociotechnical lens. We advance the discourse phenomenon. Our research objective embed view of IS . Specifically, elaborate why outcomes system uses algorithmic means assure depend mutual influences between technical structures. This perspective can generate new insights integrate knowledge from both fields studies. Further, it spurs directions debates. contribute follows: First, problematize fundamental assumptions current systematic analysis 310 articles. Second, respond these by theorizing construct. Third, propose researchers enhance their impacts pursuing unique understanding AF. call undertake holistic approach A yield solutions biases discrimination.

Язык: Английский

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An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application

Sensors, Год журнала: 2020, Номер 20(23), С. 6764 - 6764

Опубликована: Ноя. 26, 2020

Timely detection and diagnosis are essentially needed to guide outbreak measures infection control. It is vital improve healthcare quality in public places, markets, schools airports provide useful insights into the technological environment help researchers acknowledge choices gaps available this field. In narrative review, of coronavirus disease 2019 (COVID-19) technologies summarized discussed with a comparison between them from several aspects arrive at an accurate decision on feasibility applying best these techniques biosensors that operate using laser technology. The collection data analysis was done by six reliable academic databases, namely, Science Direct, IEEE Xplore, Scopus, Web Science, Google Scholar PubMed. This review includes three highlights: evaluating hazard pandemic COVID-19 transmission styles comparing Severe Acute Respiratory Syndrome (SARS) Middle East (MERS) identify main causes virus spreading, critical diagnose based artificial intelligence CT scans CXR images types biosensors. Finally, we select methods can potentially stop propagation pandemic.

Язык: Английский

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