Using Event-Based Web-Scraping Methods and Bidirectional Transformers to Characterize COVID-19 Outbreaks in Food Production and Retail Settings

Miano, Joseph D.; Hilton, Charity; Gangrade, V.; Pomeroy, Mary; Siven, Jacqueline; Flynn, Michael A.; Tilashalski, Frances

doi:10.1007/978-3-030-77211-6_21

Cited by 1 publication

(1 citation statement)

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“…Conversely, AI has recently proven useful during the COVID-19 pandemic to overcome limitations of public health data collection systems with respect to workers from historically underrepresented groups. Specifically, a recent study used artificial intelligence to analyze news reports of COVID-19 workplace outbreaks to identify social factors that are often not fully captured in public health data systems (such as race, ethnicity, and nativity) that could potentially have affected disease transmission [ 122 ].…”

Section: Discussionmentioning

confidence: 99%

Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review

Fisher

Flynn

Pratap

et al. 2023

IJERPH

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Artificial intelligence (AI) has the potential to either reduce or exacerbate occupational safety and health (OSH) inequities in the workplace, and its impact will be mediated by numerous factors. This paper anticipates challenges to ensuring that the OSH benefits of technological advances are equitably distributed among social groups, industries, job arrangements, and geographical regions. A scoping review was completed to summarize the recent literature on AI’s role in promoting OSH equity. The scoping review was designed around three concepts: artificial intelligence, OSH, and health equity. Scoping results revealed 113 articles relevant for inclusion. The ways in which AI presents barriers and facilitators to OSH equity are outlined along with priority focus areas and best practices in reducing OSH disparities and knowledge gaps. The scoping review uncovered priority focus areas. In conclusion, AI’s role in OSH equity is vastly understudied. An urgent need exists for multidisciplinary research that addresses where and how AI is being adopted and evaluated and how its use is affecting OSH across industries, wage categories, and sociodemographic groups. OSH professionals can play a significant role in identifying strategies that ensure the benefits of AI in promoting workforce health and wellbeing are equitably distributed.

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Section: Discussionmentioning

confidence: 99%