ISBN: 9781997218043 - ai in recruitment: rise of the hiring machine (12 risultati)

Hardcover. Condizione: new. Hardcover. AI IN RECRUITMENT: Rise of the Hiring MachineHuman Resources is undergoing an irreversible transformation from an administrative support function to a strategic, data-driven organizational capability orchestrated by Agentic AI. The integration of algorithms and Agentic HR shifts recruitment from a reliance on human observation toward structured behavioral evidence and continuous computational analysis. In "AI IN RECRUITMENT: Rise of the Hiring Machine," Dr. Ganesh Shermon establishes that the future of talent acquisition is beyond basic automation. Now it is about deploying autonomous AI agents capable of perceiving organizational data, reasoning across multiple sources of evidence, initiating actions, and escalating complex decisions to human leaders. This structural shift promises speed, scalability, and analytical precision, effectively replacing traditional, reactive hiring practices with dynamic, goal-directed talent discovery systems.This technological leap introduces a strategic paradox that organizations must urgently navigate. At one level frictionless selection that can rapidly devolve into a nightmare of opaque, unchallengeable algorithmic rejection. While intelligent systems can autonomously parse resumes, coordinate complex global interview schedules, and score behavioral competencies at scale, they also possess the dangerous capacity to institutionalize flawed models and reproduce historical biases at unprecedented speeds. The text meticulously documents the emotional fallout candidates experience when subjected to invisible decision rules, warning that unchecked algorithmic autonomy erodes candidate trust, damages employer branding, and exposes firms to severe regulatory and ethical risks. The central leadership challenge of the agentic era is whether AI can make not only an HR decision, but also defining the exact boundaries of algorithmic authority while preserving human dignity throughout the assessment pipeline.To harness the power of AI without surrendering organizational accountability, leaders must adopt an algorithmic mindset anchored in rigorous governance. The book provides a comprehensive blueprint for this discipline, introducing the Algorithmic Principles a robust governance layer encompassing policy, boundary, audit, escalation, and reporting protocols. This framework insists that all agentic systems operate upon a foundation of validated, competency-based job analysis rather than open-ended machine learning assumptions. By demanding continuous adverse impact monitoring, transparent candidate communication, and mandatory human-in-the-loop oversight for consequential decisions, the methodology ensures that machine intelligence serves as a powerful analytical co-pilot rather than an unchecked gatekeeper."AI IN RECRUITMENT" serves as an indispensable strategic playbook for corporate executives, talent acquisition leaders, and HR professionals who must guide their organizations through this profound technological disruption. It equips decision-makers with the practical diagnostic tools, policy templates, and ethical guardrails required to build a modern, algorithmic competency-based recruitment engine. By mastering the frameworks detailed in this volume, organizations will not only capture the massive efficiency gains of agentic capability but also forge a resilient, fair, and highly competitive talent pipeline. Leaders who embrace this disciplined integration of human judgment and machine intelligence will successfully banish the candidate's nightmare and define the future of sustainable, high-performance enterprise growth. AI in Recruitment is a "FUTURISTIC NOW" concept and is actively orchestrating the way organizations source, assess, schedule, and hire talent at unprecedented speeds. This item is printed on Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

hardcover. Condizione: New.

Hardcover. Condizione: new. Hardcover. AI IN RECRUITMENT: Rise of the Hiring MachineHuman Resources is undergoing an irreversible transformation from an administrative support function to a strategic, data-driven organizational capability orchestrated by Agentic AI. The integration of algorithms and Agentic HR shifts recruitment from a reliance on human observation toward structured behavioral evidence and continuous computational analysis. In "AI IN RECRUITMENT: Rise of the Hiring Machine," Dr. Ganesh Shermon establishes that the future of talent acquisition is beyond basic automation. Now it is about deploying autonomous AI agents capable of perceiving organizational data, reasoning across multiple sources of evidence, initiating actions, and escalating complex decisions to human leaders. This structural shift promises speed, scalability, and analytical precision, effectively replacing traditional, reactive hiring practices with dynamic, goal-directed talent discovery systems.This technological leap introduces a strategic paradox that organizations must urgently navigate. At one level frictionless selection that can rapidly devolve into a nightmare of opaque, unchallengeable algorithmic rejection. While intelligent systems can autonomously parse resumes, coordinate complex global interview schedules, and score behavioral competencies at scale, they also possess the dangerous capacity to institutionalize flawed models and reproduce historical biases at unprecedented speeds. The text meticulously documents the emotional fallout candidates experience when subjected to invisible decision rules, warning that unchecked algorithmic autonomy erodes candidate trust, damages employer branding, and exposes firms to severe regulatory and ethical risks. The central leadership challenge of the agentic era is whether AI can make not only an HR decision, but also defining the exact boundaries of algorithmic authority while preserving human dignity throughout the assessment pipeline.To harness the power of AI without surrendering organizational accountability, leaders must adopt an algorithmic mindset anchored in rigorous governance. The book provides a comprehensive blueprint for this discipline, introducing the Algorithmic Principles a robust governance layer encompassing policy, boundary, audit, escalation, and reporting protocols. This framework insists that all agentic systems operate upon a foundation of validated, competency-based job analysis rather than open-ended machine learning assumptions. By demanding continuous adverse impact monitoring, transparent candidate communication, and mandatory human-in-the-loop oversight for consequential decisions, the methodology ensures that machine intelligence serves as a powerful analytical co-pilot rather than an unchecked gatekeeper."AI IN RECRUITMENT" serves as an indispensable strategic playbook for corporate executives, talent acquisition leaders, and HR professionals who must guide their organizations through this profound technological disruption. It equips decision-makers with the practical diagnostic tools, policy templates, and ethical guardrails required to build a modern, algorithmic competency-based recruitment engine. By mastering the frameworks detailed in this volume, organizations will not only capture the massive efficiency gains of agentic capability but also forge a resilient, fair, and highly competitive talent pipeline. Leaders who embrace this disciplined integration of human judgment and machine intelligence will successfully banish the candidate's nightmare and define the future of sustainable, high-performance enterprise growth. AI in Recruitment is a "FUTURISTIC NOW" concept and is actively orchestrating the way organizations source, assess, schedule, and hire talent at unprecedented speeds. This item i Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Gebundene Ausgabe. Condizione: Neu. Neuware, Lieferung aus Deutschland. Sprache: Englisch Gewicht in Gramm: 1043.

Hardcover. Condizione: new. Hardcover. AI IN RECRUITMENT: Rise of the Hiring MachineHuman Resources is undergoing an irreversible transformation from an administrative support function to a strategic, data-driven organizational capability orchestrated by Agentic AI. The integration of algorithms and Agentic HR shifts recruitment from a reliance on human observation toward structured behavioral evidence and continuous computational analysis. In "AI IN RECRUITMENT: Rise of the Hiring Machine," Dr. Ganesh Shermon establishes that the future of talent acquisition is beyond basic automation. Now it is about deploying autonomous AI agents capable of perceiving organizational data, reasoning across multiple sources of evidence, initiating actions, and escalating complex decisions to human leaders. This structural shift promises speed, scalability, and analytical precision, effectively replacing traditional, reactive hiring practices with dynamic, goal-directed talent discovery systems.This technological leap introduces a strategic paradox that organizations must urgently navigate. At one level frictionless selection that can rapidly devolve into a nightmare of opaque, unchallengeable algorithmic rejection. While intelligent systems can autonomously parse resumes, coordinate complex global interview schedules, and score behavioral competencies at scale, they also possess the dangerous capacity to institutionalize flawed models and reproduce historical biases at unprecedented speeds. The text meticulously documents the emotional fallout candidates experience when subjected to invisible decision rules, warning that unchecked algorithmic autonomy erodes candidate trust, damages employer branding, and exposes firms to severe regulatory and ethical risks. The central leadership challenge of the agentic era is whether AI can make not only an HR decision, but also defining the exact boundaries of algorithmic authority while preserving human dignity throughout the assessment pipeline.To harness the power of AI without surrendering organizational accountability, leaders must adopt an algorithmic mindset anchored in rigorous governance. The book provides a comprehensive blueprint for this discipline, introducing the Algorithmic Principles a robust governance layer encompassing policy, boundary, audit, escalation, and reporting protocols. This framework insists that all agentic systems operate upon a foundation of validated, competency-based job analysis rather than open-ended machine learning assumptions. By demanding continuous adverse impact monitoring, transparent candidate communication, and mandatory human-in-the-loop oversight for consequential decisions, the methodology ensures that machine intelligence serves as a powerful analytical co-pilot rather than an unchecked gatekeeper."AI IN RECRUITMENT" serves as an indispensable strategic playbook for corporate executives, talent acquisition leaders, and HR professionals who must guide their organizations through this profound technological disruption. It equips decision-makers with the practical diagnostic tools, policy templates, and ethical guardrails required to build a modern, algorithmic competency-based recruitment engine. By mastering the frameworks detailed in this volume, organizations will not only capture the massive efficiency gains of agentic capability but also forge a resilient, fair, and highly competitive talent pipeline. Leaders who embrace this disciplined integration of human judgment and machine intelligence will successfully banish the candidate's nightmare and define the future of sustainable, high-performance enterprise growth. AI in Recruitment is a "FUTURISTIC NOW" concept and is actively orchestrating the way organizations source, assess, schedule, and hire talent at unprecedented speeds. This item i Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Buch. Condizione: Neu. AI in Recruitment | Rise of the Hiring Machine | Ganesh Shermon | Buch | Englisch | 2026 | Ontario Publishing House, Toronto, ON | EAN 9781997218043 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 344 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware 344 pp. Englisch.