Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many applications seen routinely in health care, industry, and education, and increasingly in workplaces. Although there is growing evidence of applications of AI in workplaces across all industries to simplify and/or automate tasks there is a limited understanding of the role that AI contributes in addressing occupational safety and health (OSH) concerns. Methods: This paper introduces a new framework called Risk Evolution, Detection, Evaluation, and Control of Accidents (REDECA) that highlights the role that AI plays in the anticipation and control of exposure risks in a worker’s immediate environment. Two hundred and sixty AI papers across five sectors (oil and gas, mining, transportation, construction, and agriculture) were reviewed using the REDECA framework to highlight current applications and gaps in OSH and AI fields. Results: The REDECA framework highlighted the unique attributes and research focus of each of the five industrial sectors. The majority of evidence of AI in OSH research within the oil/gas and transportation sectors focused on the development of sensors to detect hazardous situations. In construction the focus was on the use of sensors to detect incidents. The research in the agriculture sector focused on sensors and actuators that removed workers from hazardous conditions. Application of the REDECA framework highlighted AI/OSH strengths and opportunities in various industries and potential areas for collaboration. Conclusions: As AI applications across industries continue to increase, further exploration of the benefits and challenges of AI applications in OSH is needed to optimally protect worker health, safety and well-being.

Background: Unemployment, underemployment, and the quality of work are national occupational health risk factors that drive critical national problems; however, to date, there have been no systematic efforts to document the public health impact of this situation. Methods: An environmental scan was conducted to explore the root causes and health impacts of underemployment and unemployment and highlight multilevel perspectives and factors in the landscape of underemployment and unemployment. Methods: included a review of gray literature and research literature, followed by key informant interviews with nine organizational representatives in employment research and policy, workforce development, and industry to assess perceived needs and gaps in practice. Results: Evidence highlights the complex nature of underemployment and unemployment, with multiple macro-level underlying drivers, including the changing nature of work, a dynamic labor market, inadequate enforcement of labor protection standards, declining unions, wage depression, and weak political will interacting with multiple social determinants of health. Empirical literature on unemployment and physical, mental, and psychological well-being, substance abuse, depression in young adults, and suicides is quite extensive; however, there are limited data on the impacts of underemployment on worker health and well-being. Additionally, organizations do not routinely consider health outcomes as they relate to their work in workforce or policy development. Discussion and Conclusions: Several gaps in data and research will need to be addressed in order to assess the full magnitude of the public health burden of underemployment and unemployment. Public health needs to champion a research and practice agenda in partnership with multisector stakeholders to illuminate the role of employment quality and status in closing the gap on health inequities, and to integrate workforce health and well-being into labor and economic development agendas across government agencies and industry.

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.

Objectives: Water quality communication practices vary widely and stakeholder input has not played a role in defining acceptable levels of risk. Although the 2012 Recreational Water Quality Criteria (RWQC) emphasize the importance of promptly notifying the public about hazardous conditions, little is known about the public's understanding of notifications, or about levels of risk deemed acceptable. We sought to address these gaps. Methods: A mixed methods approach was used. Focus groups (FGs) provided qualitative data regarding the understanding of surface water quality, awareness, and use, of currently available water quality information, and acceptability of risk. Intercept interviews (INTs) at recreation sites provided quantitative data. Results: INTs of 374 people and 15 FG sessions were conducted. Participants had limited awareness about water quality information posted at beaches, even during swim bans and advisories. Participants indicated that communication content should be current, from a trusted source, and describe health consequences. Communicating via mobile electronics should be useful for segments of the population. Risk acceptability is lower with greater outcome severity, or if children are impacted. Conclusions: Current water quality communications approaches must be enhanced to make notification programs more effective. Further work should build on this initial effort to evaluate risk acceptability among US beachgoers.

Background: Community health workers (CHW) have grown in prominence within the healthcare sector, yet there is no clear consensus regarding a CHW’s role, purpose, and value within health systems. This lack of consensus has the potential to affect how CHWs are perceived, utilized, and ultimately integrated within the healthcare sector. This research examines clinical care teams that currently employ CHWs to (1) understand how members of the care team perceive CHWs’ purpose and value, and (2) consider how perceptions of CHWs are related to CHW integration within health care teams. Methods: Researchers conducted a qualitative descriptive multiple embedded case study at the University of Illinois at Chicago’s Hospital and Health Science System (UI Health). The embedded subunits of analysis were teams within UI Health that are currently employing CHWs to assist with the provision of clinical care or services to patients. Data were collected via semi-structured interviews and document review. Results: In total, 6 sub-units were enrolled to participate, and 17 interviews were conducted with CHWs (n = 9), and administrators or health care providers (n = 8). Reported perceptions of CHWs were inconsistent across respondents. CHWs roles were not always understood, and the CHW’s purpose and value was perceived differently by different members of the care team. Moreover, evaluation metrics did not always capture CHWs’ value to the health care system. In some cases, care teams were more aligned around a shared understanding of the CHW’s roles and purpose within the care team. When perceptions regarding CHWs were both positive and aligned, respondents reported higher levels of integration within the healthcare system. Conclusions: Alignment in a care team’s perception of a CHW’s role, purpose, and value within the health system could play an important role in the integration of CHWs within healthcare teams.

Work is a key social determinant of health. Community health and well-being may be impacted in neighborhoods with high proportions of people engaged in precarious work situations compounded by health inequities produced by other social determinants associated with their residential geography. However, little is known about how community residents experience work at the neighborhood level nor how work impacts health at the community-level, particularly in communities with a high proportion of residents engaged in precarious work. We sought to understand, through participatory research strategies, how work is experienced at the community level and to identify community interventions to establish a culture of healthy work. As part of a mixed-methods community health assessment, community researchers conducted focus groups with residents in two high social and economic hardship neighborhoods on Chicago’s southwest side. Community and academic researchers engaged in participatory data analysis and developed and implemented member-checking modules to engage residents in the data interpretation process. Twelve focus group discussions (77 community resident participants) were completed. Three major themes emerged: systematic marginalization from the pathways to healthy work situations; contextual and structural hostility to sustain healthy work; and violations in the rights, agency, and autonomy of resident workers. Findings were triangulated with findings from the concept-mapping research component of the project to inform the development of a community health survey focused on work characteristics and experiences. Listening to residents in communities with a high proportion of residents engaging in precarious work allows for the identification of nuanced community-informed intervention points to begin to build a culture of healthy work.