Other Titles

Rising Star Poster/Presentation - Rapid Presentation Round

Abstract

In today’s competitive landscape of hiring, organizations are responsible to not only maintain ethical integrity, ensure fairness, and protect job applicants' privacy, but also uphold a more data-driven and streamlined approach to save time per hire. The integration of Artificial Intelligence (AI) into the workplace presents opportunities such as enhanced productivity, efficiency, and creation of new roles. However, the widespread implementation of AI also raises ethical and privacy challenges that can deteriorate organizational health. AI-driven systems can inadvertently introduce biases and black box properties in hiring decisions which can erode trust and transparency, compromise employee privacy, and increase psychological stress through diminished autonomy and increased surveillance in the workplace, affecting overall well-being and performance.

This presentation examines how AI-enabled automation affects organizational health by critically analyzing challenges and future approaches associated with its use, especially in the context of healthcare. Drawing on evidence-based scholarly literature, multi-lateral case studies, and applicant experiences, this presentation explores strategies to mitigate risks associated with AI-enabled systems in hiring practices, emphasizing the need for human-centric implementation, development of ethical guidelines and regulatory compliance, transparent policies, and strong oversight. The presentation also outlines future directions for a collaborative human-machine partnership, ongoing research and policy implementation for AI systems that improve employee well-being and foster psychologically safe, data-driven, and productive work environments. The future of workplace productivity should not be seen as a human versus AI approach, but rather an act of ensuring that ethically used AI becomes a tool for maintaining healthy work environments rather than a source of employee harm. The recommendations from this presentation will highlight the importance of balancing technological innovation with human-focused creativity and strategic thinking, especially in the context of healthcare facilities.

Notes

References:

1. Balasundaram, S., Venkatagiri, S., & Sathiyaseelan, A. (2022). Using AI to enhance candidate experience in high volume hiring: A conceptual review and case study. ResearchGate, 1-31. https://www.researchgate.net/publication/359199987_Using_AI_to_enhance_candidate_experience_in_high_volume_hiring_A_conceptual_review_and_case_study

2. Horodyski, P. (2023). Applicant’s perception of artificial intelligence in the recruitment process. Computers in Human Behaviours Reports, 11, 1-8. https://doi.org/10.1016/j.chbr.2023.100303

3. Hunkenschroer, A. L., & Kriebitz, A. (2023). Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring. AI and Ethics, 3(1), 199–213. https://doi.org/10.1007/s43681-022-00166-4

4. Johnson, D. P. (2025). My HireVue Nightmare: A Developer's Critique of AI Interviews, Bias & Black Boxes. Daniel Philip Johnson. https://danielphilipjohnson.com/blog/my-hirevue-nightmare-a-developers-critique-of-ai-interviews-bias-black-boxes

5. Mori, M., Sassetti, S., Cavaliere, V., & Bonti, M. (2024). A systematic literature review on artificial intelligence in recruiting and selection: a matter of ethics. Personnel Review, 54(4), 1-26. https://doi.org/10.1108/PR-03-2023-025

Description

The integration of Artificial Intelligence (AI) into the workplace presents opportunities such as enhanced productivity, efficiency, and creation of new roles. However, the widespread implementation of AI also raises ethical and privacy challenges that can deteriorate organizational health. This presentation examines how AI-enabled automation affects organizational health by critically analyzing challenges and future approaches associated with its use, especially in the context of healthcare.

Author Details

Shiza Hirani is an award-winning youth education and health rights advocate and the Founder of Youth MentorNet Café. She serves as an Advisory Board Member for the Permanent Mission of Canada to the United Nations and a National Youth Action Council Member with the Canadian Centre for Addiction and Mental Health (CAMH). A 2025 AbbVie Scholar, Shiza advances global health equity through community-based participatory research, shaping UN-affiliated programs and polices that are supporting over 150,000 youths across 15+ countries.

Sigma Membership

Non-member

Type

Presentation

Format Type

Text-based Document

Study Design/Type

Other

Research Approach

Other

Keywords:

Artificial Intelligence, AI, Hiring, Person-Environment Fit, Employee Selection

Conference Name

Creating Healthy Work Environments

Conference Host

Sigma Theta Tau International

Conference Location

Washington, DC, USA

Conference Year

2026

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Event Material, Invited Presentation

Acquisition

Proxy-submission

Date of Issue

2026-04-23

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How AI-Enabled Hiring Affects Organizational Health? Challenges and Future Direction

Washington, DC, USA

In today’s competitive landscape of hiring, organizations are responsible to not only maintain ethical integrity, ensure fairness, and protect job applicants' privacy, but also uphold a more data-driven and streamlined approach to save time per hire. The integration of Artificial Intelligence (AI) into the workplace presents opportunities such as enhanced productivity, efficiency, and creation of new roles. However, the widespread implementation of AI also raises ethical and privacy challenges that can deteriorate organizational health. AI-driven systems can inadvertently introduce biases and black box properties in hiring decisions which can erode trust and transparency, compromise employee privacy, and increase psychological stress through diminished autonomy and increased surveillance in the workplace, affecting overall well-being and performance.

This presentation examines how AI-enabled automation affects organizational health by critically analyzing challenges and future approaches associated with its use, especially in the context of healthcare. Drawing on evidence-based scholarly literature, multi-lateral case studies, and applicant experiences, this presentation explores strategies to mitigate risks associated with AI-enabled systems in hiring practices, emphasizing the need for human-centric implementation, development of ethical guidelines and regulatory compliance, transparent policies, and strong oversight. The presentation also outlines future directions for a collaborative human-machine partnership, ongoing research and policy implementation for AI systems that improve employee well-being and foster psychologically safe, data-driven, and productive work environments. The future of workplace productivity should not be seen as a human versus AI approach, but rather an act of ensuring that ethically used AI becomes a tool for maintaining healthy work environments rather than a source of employee harm. The recommendations from this presentation will highlight the importance of balancing technological innovation with human-focused creativity and strategic thinking, especially in the context of healthcare facilities.