The AI for HR training enables human resources professionals to discover how AI can support their recruitment, communication, organisational and skills development activities. It helps identify the most valuable use cases without losing sight of the human, ethical and organisational challenges inherent to the HR function.<\/p>\r\n\r\n\r\n\r\n
A practical training for truly applicable HR use cases<\/strong><\/p>\r\n\r\n\r\n\r\n During this training, participants discover how to use AI to write job postings, prepare interviews, structure summaries, improve HR communications, accelerate information processing and support talent management. The course also provides perspective on the limitations of AI in a sensitive field where the balance between efficiency, fairness and human judgement remains paramount.<\/p>\r\n","protected":false},"featured_media":0,"parent":0,"menu_order":0,"template":"","editeurs":[4257,5021],"domaine":[4247,4265,2982,2980,4240],"class_list":["post-238484","formations","type-formations","status-publish","hentry","editeurs-itta-artificial-intelligence","editeurs-openai","domaine-ai-applications-in-business","domaine-ai-by-profession","domaine-artificial-intelligence","domaine-intelligence-artificielle","domaine-les-usages-de-lia-en-entreprise"],"acf":{"reference":"AI-02-03","duree_nombre":1,"duree_unite":"jour","prix_virtuel":750,"prix_presentiel":800,"prix_blended":"","prix_elearning":"","views":80,"niveau":["Interm\u00e9diaire"],"role":[],"certifiant":"","pdus":"","lieux":["Gen\u00e8ve","Lausanne"],"formats_dapprentissage":["presentiel","virtuel"],"examen_inclus":"Non certifiant","garanti":[],"financement":["Temptraining"],"description_temptraining":"","description_caf":"","description_title":"AI for HR : Recruitment and Talent Management Training","objectifs":" The human resources sector is undergoing a profound transformation driven by artificial intelligence. From recruitment to talent management, including training and employee engagement, AI tools offer new possibilities for improving the effectiveness and relevance of HR practices.<\/p>\r\n HR professionals who master these tools gain a significant advantage. They can process more applications, personalise their communications further and dedicate more time to the human interactions that truly make a difference.<\/p>\r\n\r\n AI plays a role at every stage of recruitment. Job postings can be optimised to attract the right profiles. Candidate screening, often time-consuming, can be accelerated through automated CV and cover letter analysis. Interview preparation also benefits from AI, which can suggest targeted questions based on the role and candidate profile.<\/p>\r\n These tools do not replace the recruiter's judgement but allow them to focus on qualitative candidate evaluation rather than administrative file processing.<\/p>\r\n\r\n AI helps map existing skills within an organisation, identify gaps relative to future needs and propose personalised development pathways. Analysing annual reviews, feedback and performance data enables the detection of high-potential talent and flight risks.<\/p>\r\n Personalised training plans represent another major contribution. AI can recommend training programmes tailored to each employee's profile, goals and career path, improving the return on skills development investment.<\/p>\r\n\r\n Using AI in HR raises fundamental ethical questions. Gender, origin or age biases present in training data can surface in tool outputs. It is essential to understand these risks and implement controls to ensure process fairness.<\/p>\r\n The Swiss and European regulatory framework imposes obligations regarding transparency and non-discrimination. HR professionals must be trained in these considerations to use AI responsibly and in compliance with regulations.<\/p>\r\n\r\n AI adoption in HR follows a progressive approach. The first use cases to implement are those offering immediate gains with minimal risk, such as assisted writing or existing data analysis. More advanced applications, such as automated profile matching or predictive analytics, come at a later stage.<\/p>\r\n ITTA supports HR professionals across French-speaking Switzerland in this transformation with practical training delivered in Geneva and Lausanne, centred on the most relevant use cases in the sector.<\/p>\r\n\r\n Integrating artificial intelligence into professional practices is no longer about innovation but about competitive necessity. Professionals who master AI tools in their area of expertise gain a significant advantage in productivity, analysis quality and delivery speed. This cross-functional skill complements existing domain expertise to create a particularly valued professional profile.<\/p>\r\n In French-speaking Switzerland, companies across all sectors are accelerating AI adoption in their processes. The results from early adopters who have trained their teams are compelling, with measurable productivity gains and a notable improvement in employee satisfaction among those equipped with these tools. Training is the determining factor between successful adoption and wasted investment.<\/p>\r\n\r\n HR professionals trained in AI are equipped to modernise their processes while preserving the fairness and human dimension that characterise best practices in human resource management. They have a clear understanding of AI's possibilities and limitations within the HR context, enabling them to make informed decisions about adopting these tools. This expertise positions HR as a strategic partner in the organisation's digital transformation.<\/p>\r\n\r\n Can AI write effective job postings?<\/strong><\/p>\r\n Yes, AI can produce structured, inclusive and attractive job postings in minutes. It can adapt the tone for the target audience and optimise the text for online recruitment platforms.<\/p>\r\n\r\n Is automated CV screening reliable?<\/strong><\/p>\r\n AI can significantly accelerate CV screening, but human oversight remains necessary. The training teaches how to combine AI efficiency with recruiter discernment for an optimal process.<\/p>\r\n\r\n Can AI predict employee departures?<\/strong><\/p>\r\n Predictive analytics applied to HR data can identify disengagement signals or flight risk. These indicators are not certainties but useful alerts for proactive intervention.<\/p>\r\n\r\n How do you ensure non-discrimination when using AI in HR?<\/strong><\/p>\r\n The key lies in regularly auditing AI outputs, diversifying evaluation criteria and maintaining a final human decision. The training covers these best practices in detail.<\/p>\r\n\r\n Should employees be informed about AI use in HR?<\/strong><\/p>\r\n Yes, transparency is both an ethical and legal obligation. Informing employees about AI usage builds trust and promotes acceptance of these new tools within the organisation.<\/p>","inclus_dans_ce_cours_virtuel":"\r\n \t
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Artificial Intelligence Is Transforming Human Resources<\/h3>\r\n
AI in the Recruitment Process<\/h3>\r\n
Talent Management and Skills Development<\/h3>\r\n
Ethics and Bias in AI Applied to HR<\/h3>\r\n
Integrating AI into Daily HR Practice<\/h3>\r\n
AI as a Competitive Advantage in Professional Roles<\/h3>\r\n
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