Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications
Abstract
Advancements in artificial intelligence (AI) are transforming employment and working conditions in ways that shape the safety, health, and well-being of workers. We describe a protocol for a living systematic review (LSR) that will examine the interrelationship between AI systems, employment and working conditions, and worker safety, health, and well-being. Research questions are: What types of AI systems are being used within workplaces and how do their design and adoption impact worker safety, health, and well-being? How do a worker’s employment and working conditions affect the relationship between the adoption of AI systems and worker safety, health, and well-being? How does a worker’s social position (e.g., age, gender, race, disability) shape the interrelationship between AI systems at work, employment and working conditions, and their safety, health, and well-being? What types of AI systems are being used within workplaces and how do their design and adoption impact worker safety, health, and well-being? How do a worker’s employment and working conditions affect the relationship between the adoption of AI systems and worker safety, health, and well-being? How does a worker’s social position (e.g., age, gender, race, disability) shape the interrelationship between AI systems at work, employment and working conditions, and their safety, health, and well-being? A comprehensive search of primary qualitative and quantitative research will be conducted. MEDLINE, Embase…
How strong is the evidence?
Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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