AI in Learning and Development: Revolution or Coup?
The world of Learning and Development has been crying out for a revolution for longer than I care to remember and it looks like Artificial Intelligence (AI) could lead the way by offering unprecedented opportunities to deliver all forms of learning in the future.
Some of us have begun to embrace the AI tools that are available, like Chat GPT and Co-Pilot, but we all know that human beings are suspicious animals – fearful of change and slow to adopt new ways of doing.
I’m all for innovation and experimentation, but I like to think that I’m also committed to critical thinking as well.
Rather than use Hollywood and Science Fiction novels (admittedly difficult as a self-confessed nerd – if we’ve had a virtual meeting, you’ve seen my bookcase) as our basis, let’s try and look at both the opportunity provided, as well as the threat posed.
Ultimately, is this a revolution that will empower us, or a coup that risks overthrowing the human-centred principles we hold dear?
Here are some of the dilemmas that should be considered:
The Human Element
Everything we do as L&D professionals is fundamentally about people – understanding them, connecting with them, and helping them thrive.
AI is, at its core, nothing more than the rapid processing of millions of pieces of data.
While it excels at efficiency, it doesn’t understand the nuance of human emotions, workplace dynamics, or the deeper motivations behind why people want to learn.
In a world where eLearning and it’s long-term effectiveness is still widely debated, we risk handing over too much control to algorithms.
Learning could become sterile, transactional, and devoid of the personal touch that drives real engagement and transformation.
AI should support personalisation at scale – imagine a platform that understands your employees’ individual strengths, preferences, and gaps, and delivers exactly what they need, when they need it.
Although AI can assist us, human insight and empathy must always remain at the heart of everything that we do in Learning and Development.
Bias Hidden in the Code
When describing the current iterations of AI tools, I prefer the term ‘Machine Learning’, and we all know that learning outcomes are only as good as the data that’s used for training.
The data that we have accumulated across the internet is rarely neutral. If the datasets contain biases—whether related to gender, ethnicity, or career paths—AI will perpetuate and even amplify those inequities.
If development programmes are based on patterns in historical data, that data will reflect past biases. This could mean that certain groups may be excluded from learning opportunities and therefore career progression.
As with anything, it’s essential to scrutinise the algorithms we use, encourage and demand transparency, and actively work to eliminate bias in all aspects of life, not just Learning and Development.
Automation Overload
I love the automation of repetitive tasks as much as anyone, but there’s a fine line between efficiency and over-reliance.
Automating too much—whether it’s content creation, learner assessments, or feedback—could lead to rolling out ‘one size fits all’ solutions and ultimately undermining the value that we bring to organisations and workplaces on the whole.
Creating and delivering engaging learning interventions requires creativity, storytelling, and a human perspective.
AI can take care of the repetitive tasks, freeing up time for us to focus on what truly matters: designing meaningful, impactful learning experiences!
Data Privacy Considerations
Organisations across the globe gather more information than ever before in human history and Machine Learning relies on, and thrives on, data.
Learning and Development systems collect a lot of information — from learner performance to behavioural insights.
The mishandling of this sensitive information can erode trust: in the tools, in us as professionals and in the wider organisation.
Learner privacy is a non-negotiable and we must ensure the implementation of strict safeguards to protect learner data and prioritise ethical practices.
The Displacement of Learning and Development Professionals
As the use of AI becomes more and more widespread, it may leave some of its champions feeling displaced.
The automation of tasks like content creation and learner analytics, poses a risk that our roles may feel diminished and undermined.
The best of us will adapt, using AI tools to work smarter while demonstrating more than ever the uniquely human skills that can’t be replicated by a machine.
AI is a tool just like any other and we should approach it with the mindset that it isn’t here to replace us, but empower us!
So, that brings us to the question – Is It a Revolution or a Coup?
As with the introduction of any new way of doing things, I believe that the answer to this question lies in how we choose to use AI.
If we adopt it carelessly, it will undermine and ultimately replace the human-centric values that define effective and impactful learning.
But if we approach it thoughtfully—using it as a tool to enhance, not replace—then it can indeed be the revolution that we’ve been clamouring after for so long.
I’m excited to continue to explore it’s potential to improve efficiency, uncover insights, and scale learning solutions.
But, I also know that no algorithm can replace the power of my creativity, empathy, and connection to those around me.
What do you think – Are you embracing AI or questioning its role?
Written by Dan Symonds
#AI #LearningAndDevelopment #FutureOfWork #HumanConnection