Home // PANDEMICS ANALYTICS 2025, International Conference on Pandemics Analytics // View article
Authors:
Otabek Khamidov
Les Sztandera
Keywords: Artificial Intelligence; People Analytics; Pandemic Analytics; COVID-19 data.
Abstract:
Abstract— This paper updates the Socially Responsible Artificial Intelligence (SRAI) framework in response to the COVID-19 pandemic. The original SRAI framework was proposed to inform the ethical adoption of artificial intelligence in People Analytics and Human Resource Development (HRD). However, the pandemic created the necessity to extend the principles to other high-risk fields like public health, crisis management, and healthcare delivery. Based on a qualitative synthesis of peer-reviewed articles between 2020 and 2025, this research develops the SRAI framework by proposing a new dimension known as Resilience Responsibility. The new addition reflects the importance of designing AI systems to be trustworthy, flexible, and capable of delivering even in high-pressure situations. The research demonstrates how AI contributed to business responses as well as public health responses during the pandemic but also the research findings highlighted concerns about data bias, privacy, and accountability. The enhanced framework provides actionable recommendations for HR practitioners, healthcare leaders, AI engineers, and policymakers to ensure the adoption of AI is ethical, lawful, sustainable, and resilient to disruptions.
Pages: 1 to 7
Copyright: Copyright (c) IARIA, 2025
Publication date: October 26, 2025
Published in: conference
ISBN: 978-1-68558-313-2
Location: Barcelona, Spain
Dates: from October 26, 2025 to October 30, 2025