Integrating Robotics and AI into Workplace Biorisk Management

Tanusha Singh

doi:10.4018/979-8-3693-9301-7.ch009

Integrating Robotics and AI into Workplace Biorisk Management

Tanusha Singh

Environmental Health

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Work-related illnesses and injuries affect over 2.3 million people annually. Biological hazards are often underreported and poorly managed. Biorisk Management (BRM) aims to assess and reduce these risks. Emerging technologies like AI and robotics offer new tools for predictive analytics, real-time monitoring, and hazard detection. This chapter explores how AI can enhance BRM, particularly in under-resourced settings, to improve workplace health and safety. This chapter explores how AI can support effective, adaptive, and ethical BRM systems, especially in under-resourced settings.

Original language	English
Title of host publication	Cases on AI Innovations in Occupational Health and Safety
Publisher	IGI Global
Pages	181-226
Number of pages	46
ISBN (Electronic)	9798369393031
ISBN (Print)	9798369393017
DOIs	https://doi.org/10.4018/979-8-3693-9301-7.ch009
Publication status	Published - 1 Jan 2025

ASJC Scopus subject areas

General Economics,Econometrics and Finance
General Business,Management and Accounting
General Computer Science
General Medicine

Access to Document

10.4018/979-8-3693-9301-7.ch009

Cite this

@inbook{74e7d402d0694727b94521fdf86f16f5,

title = "Integrating Robotics and AI into Workplace Biorisk Management",

abstract = "Work-related illnesses and injuries affect over 2.3 million people annually. Biological hazards are often underreported and poorly managed. Biorisk Management (BRM) aims to assess and reduce these risks. Emerging technologies like AI and robotics offer new tools for predictive analytics, real-time monitoring, and hazard detection. This chapter explores how AI can enhance BRM, particularly in under-resourced settings, to improve workplace health and safety. This chapter explores how AI can support effective, adaptive, and ethical BRM systems, especially in under-resourced settings.",

author = "Tanusha Singh",

year = "2025",

month = jan,

day = "1",

doi = "10.4018/979-8-3693-9301-7.ch009",

language = "English",

isbn = "9798369393017",

pages = "181--226",

booktitle = "Cases on AI Innovations in Occupational Health and Safety",

publisher = "IGI Global",

}

TY - CHAP

T1 - Integrating Robotics and AI into Workplace Biorisk Management

AU - Singh, Tanusha

PY - 2025/1/1

Y1 - 2025/1/1

N2 - Work-related illnesses and injuries affect over 2.3 million people annually. Biological hazards are often underreported and poorly managed. Biorisk Management (BRM) aims to assess and reduce these risks. Emerging technologies like AI and robotics offer new tools for predictive analytics, real-time monitoring, and hazard detection. This chapter explores how AI can enhance BRM, particularly in under-resourced settings, to improve workplace health and safety. This chapter explores how AI can support effective, adaptive, and ethical BRM systems, especially in under-resourced settings.

AB - Work-related illnesses and injuries affect over 2.3 million people annually. Biological hazards are often underreported and poorly managed. Biorisk Management (BRM) aims to assess and reduce these risks. Emerging technologies like AI and robotics offer new tools for predictive analytics, real-time monitoring, and hazard detection. This chapter explores how AI can enhance BRM, particularly in under-resourced settings, to improve workplace health and safety. This chapter explores how AI can support effective, adaptive, and ethical BRM systems, especially in under-resourced settings.

UR - https://www.scopus.com/pages/publications/105014454953

U2 - 10.4018/979-8-3693-9301-7.ch009

DO - 10.4018/979-8-3693-9301-7.ch009

M3 - Chapter

AN - SCOPUS:105014454953

SN - 9798369393017

SP - 181

EP - 226

BT - Cases on AI Innovations in Occupational Health and Safety

PB - IGI Global

ER -

Integrating Robotics and AI into Workplace Biorisk Management

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this