HR

Could AI make recruitment more time consuming?

The promise that artificial intelligence (AI) can streamline the candidate selection process by analysing CVs, resumes, skills, and matching qualifications to make it easier to identify suitable candidates is being advertised by many technology companies.  When candidates become more proficient at using AI to create tailored CVs and cover letters aligned to a specific job …

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Centralising Resources in a Global Payroll Operating Model

Outsourcing global payrolls to a global payroll provider can enable an organisation to centralise its internal resources to one country. This approach is often considered as part of a broader strategy to streamline operations, reduce costs, and improve efficiency. By entrusting payroll processing and related tasks to an outsourced provider, a company can focus its …

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A Comprehensive Guide to Collating Skills in Your Organisation

A Comprehensive Guide to Collating Skills in Your Organisation

Collating skills in your organisation is a crucial process that can provide valuable insights into the capabilities of your workforce. By identifying and organising skills data, you can make informed decisions about resource allocation, recruitment, training programs, and talent management. In this blog post, we’ll walk you through a step-by-step guide on how to effectively …

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Complying with GDPR when using AI to support HR decision making

Under the GDPR, transparency and accountability are essential principles. If you are using AI to support decision-making processes in HR and it involves processing personal data of your employees, you generally have an obligation to provide them with clear and transparent information about how their data is being used, including the involvement of AI. The …

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Using AI to automate hiring and firing decisions

Using AI to make automated decisions for hiring, promoting, and firing people is a topic of debate and carries both potential benefits and ethical considerations. While AI can provide objective analysis and efficiency in certain aspects of the decision-making process, there are several factors to consider before implementing such systems. Bias and fairness: AI systems …

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