Challenges and Benefits of AI Integration in Helsinki –Based Recruitment Firms
Waghela, Rikshita (2024)
Waghela, Rikshita
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024122037859
https://urn.fi/URN:NBN:fi:amk-2024122037859
Tiivistelmä
The adoption of Artificial Intelligence (AI) in recruitment consultancy firms in Helsinki, Finland highlights its benefits, challenges and ethical implications. AI has enhanced recruitment processes by automating candidate evaluation, increasing efficiency, and improving decision making. However, ethical concerns such as algorithmic bias, lack of transparency, data privacy and resistance to change present significant challenges for effective implementation.
The study utilizes structured surveys to collect insights from recruitment professionals and applies the Diffusion of Innovations (DOI) and Technology Acceptance Model (TAM)
frameworks to analyses AI adoption. Findings indicate that while AI tools reduce operational workload and improve candidate matching, they often perpetuate biases embedded in historical data and lack interpretability, leading to distrust among stakeholders. Additionally, resistance from HR professionals to adopt AI highlights the importance of organizational readiness.
The thesis concludes by recommending strategies such as deploying explainable AI systems implementing robust ethical governance, and conducting targeted training to foster acceptance and responsible AI use in recruitment. These findings contribute to the broader discourse on AI ethics and provide practical guidelines for organizations seeking to leverage AI effectively.
The study utilizes structured surveys to collect insights from recruitment professionals and applies the Diffusion of Innovations (DOI) and Technology Acceptance Model (TAM)
frameworks to analyses AI adoption. Findings indicate that while AI tools reduce operational workload and improve candidate matching, they often perpetuate biases embedded in historical data and lack interpretability, leading to distrust among stakeholders. Additionally, resistance from HR professionals to adopt AI highlights the importance of organizational readiness.
The thesis concludes by recommending strategies such as deploying explainable AI systems implementing robust ethical governance, and conducting targeted training to foster acceptance and responsible AI use in recruitment. These findings contribute to the broader discourse on AI ethics and provide practical guidelines for organizations seeking to leverage AI effectively.