How Generative AI is Impacting Personalised Learning and Development

How HR Teams are Embracing Technology to Change their Approach to Career Development and Learning Programmes 

Over the past few years, Human Resources professionals have begun to embrace several technological tools to assist in both short and long-term objectives at work. While Artificial Intelligence (AI) has yet to be integrated into many HR plans, this has been the year for HR professionals to learn more about generative AI’s capabilities and the effects it could have in the near future.

As seen already at the end of 2023, the integration of generative artificial intelligence could begin to reshape HR learning programmes by offering a dynamic and personalised approach to employee development.

In this article, we will be looking at what effects AI may have on HR, with a particular focus on how it may affect learning and development programmes.

Additionally, we will explore the potential benefits and challenges for HR professionals seeking to create a future-ready workforce.

What is Generative AI?

Generative AI is a subset of artificial intelligence that, unlike other AI systems, can autonomously create content, including texts, audio, code, images, text, simulations, and video.

In Human Resources, generative AI revolutionises processes by offering personalised solutions, streamlining tasks, and enhancing the overall employee experience. We explored some ways that AI is changing HR in a previous article that you can read now for more general context on the new relationship between AI and HR.

Personalised Learning and Development in 2024

In the annual World of Work Trends Report 2024, one of the significant trends we identified was that there would be a shift in how HR professionals understood learning and career development programmes. That change would be a move towards a more personalised approach that would give employees more of an active and empowered role in advancing their careers, often through the use of digital and personal resources so that they can develop the competencies and skills needed for the future.

To make the employee experience of attaining new skills more individualised, many organisations are developing easily accessible and on-demand micro-learning tools to allow employees the opportunity to learn ‘just in time’ when needed while it can also be integrated into their other everyday tasks. 

Generative AI could empower HR learning programs to move closer to the personalised learning approaches we noted in the World of Work Trends Report.

This tailored approach ensures that employees receive the most relevant and effective training, enhancing their skill development and overall job performance.

How Generative AI Tools Could Impact Learning and Development Programmes

  • Improving Personalised Learning Paths: AI in talent acquistion can be impressively useful,Generative AI algorithms can analyse individual employee in insights, including learning preferences, strengths, and areas for improvement, to generate personalised learning paths. That work empowers HR learning programmes to move beyond one-size-fits-all approaches and move closer to the more individual training programmes that HR leaders hope to get.

 

  • AI-Powered Virtual Mentors and Coaches: Generative AI is already giving rise to virtual mentors and coaches that could provide real-time guidance and support to employees. These AI-driven mentors can answer questions, offer insights, and provide personalised feedback, creating a virtual learning environment that complements traditional mentoring programs. This approach ensures that employees have access to guidance whenever needed, fostering a culture of continuous improvement.

 

  • Improving Adaptive Learning Modules: Traditional training modules often follow a fixed structure, regardless of an individual employee’s learning speed and style. Generative AI can introduce adaptive learning modules that evolve based on an employee’s progress. By continuously assessing a learner’s comprehension and adjusting the difficulty level accordingly, HR professionals can optimise the learning experience and improve knowledge retention.

 

  • Gamification for Enhanced Engagement: Gamification has proven an effective strategy for boosting employees’ engagement in learning programs. Generative AI can take gamification to the next level by creating personalised game scenarios based on individual employee profiles. By integrating elements of competition, rewards, and social interaction, AI-driven gamification makes learning more enjoyable and motivates employees to participate actively in their development. 

 

Challenges with Implementing Generative AI in Learning and Development Programmes

Generative AI in HR learning programs holds immense promise, but HR professionals must navigate potential challenges and ethical considerations. These include:

  • Ensuring data privacy.
  • Addressing algorithmic biases in learning recommendations.
  • Employee trust and adoption.
  • And maintaining a balance between automation and the human touch in the learning experience. 

Ensuring Data Privacy 

One of the most challenging aspects of implementing generative AI tools into an organisation’s strategy is the aspect of data privacy, especially as organisations are still relatively early in their adoption of AI tools.

As AI programmes rely heavily on collecting and analysing vast amounts of employee data to personalise learning experiences, HR professionals must establish robust data protection measures. HR leaders should ensure that they comply with data protection regulations by obtaining informed consent and adopting encryption protocols. These are essential steps to mitigate the risk of unauthorised access or misuse of sensitive employee and organisation information. 

Mitigating Algorithmic Biases 

It should be common knowledge that generative AI systems are not entirely unbiased. In fact, they are only as unbiased as the data they are trained on. HR professionals need to be vigilant about potential algorithmic biases in learning recommendations.

If the training data used to develop AI models contains biases, the algorithms may perpetuate or even exacerbate existing inequalities. Regular audits of algorithms, diverse and representative training datasets, and continuous monitoring for bias are crucial to ensure fair and equitable learning opportunities for all employees. 

Employee Trust and Adoption 

Introducing generative AI into HR learning programs may raise employee concerns about job security, privacy, or the perceived objectivity of AI-driven decisions. HR professionals must proactively address these concerns through transparent communication and educational initiatives.

Building trust in AI technologies requires demonstrating their value, emphasising their role as tools for empowerment rather than surveillance, and involving employees in the process to alleviate apprehensions and foster a positive reception. 

Balancing Automation and Human Interaction 

While the automation capabilities of generative AI can significantly enhance the efficiency of HR learning programs, it is imperative to strike a balance with human interaction. Employees still value the human touch in learning experiences, and specific aspects of development, such as mentorship and interpersonal skills, may be better served through direct human engagement.

HR teams should carefully design AI-driven learning initiatives to complement, rather than replace, the essential human element in the learning journey.

Final Thoughts: Became an employer of choice to embrace HR AI trends before your competition

Generative AI in HR represents a significant leap forward in redefining the employee experience. Organisations can harness AI’s power to streamline processes, enhance employee engagement, and contribute to their overall success.

They must do this by being aware of the ethical practices and staying attuned to the evolving landscape.

Organisations can begin to navigate this transformative journey in the hopes of creating and maintaining workplaces that thrive in the digital age. By joining Top Employers Instite you will access a library of HR AI best practise and anticipate all its trends. Get in touch for free today, become an employer of choice!

Helvetia Case Study: The Impact of Internal Best Practices Sharing



Certified Top Employer Helvetia Insurance, established in 1858, is headquartered in St. Gallen Switzerland. As an organisation they currently have over 11.500 employees and more than 7 million customers across their different operating countries.

Helvetia have prioritised improving their people practices over the past few years as they joined the Top Employers programme. In recent years they have wanted to improve their practices not only through benchmarking but also through learning from the various Helvetia branches. This desire for improvement and learning lead them to create an internal best practice sharing session.

Download the Case Study to learn how:

  • Helvetia have been able to create a unified best practice sharing session that has improved HR practices across their offices.
  • They use the Top Employers programme to guide the improvement of their HR practices.
  • Employees in Helvetia have experienced the internal best practices sharing sessions.

UniCredit Bulbank’s ESG Learning Journey



Certified Top Employer UniCredit Bulbank is the leading bank in Bulgaria and a member of UniCredit, a successful pan-European commercial bank operating in Italy, Germany, Central and Eastern Europe. It has a unique service offering and its purpose is to empower communities to progress, delivering best-in-class for all stakeholder, unlocking the potential of clients and people.

UniCredit puts integrity, ownership and caring at the heart of its decision-making in everything it does, and digitalisation and a commitment to ESG (Environmental, Social, Governance) principles are key enablers for delivering this. Their commitment to their ESG values and the ambitious energy goals that have been set in the EU for 2030 and 2050 is what started their award winning ESG Learning Journey in 2021.

For UniCredit Bulbank, ESG is not the responsibility of one department, team or individual, but everyone’s duty.

Download the Case Study to learn how:

  • UniCredit Bulbank Bulgaria used a pyramid approach to restructure their ESG principles.
  • They created an integrated group and local learning offer for ESG that had targeted initiatives for different groups of employees across the organisation that addressed specific needs and accountabilities for them.
  • UniCredit Bulbank Bulgaria created ESGpresso, an ESG education platform, for colleagues to have easy access to information about their policies.

 

Download the case study now.

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