The AI era has arrived, and ChatGPT has undoubtedly captured our imagination. In recent weeks, our co-founder Ola Potrykus dove deep into the potential of this fascinating technology, exploring a variety of compelling resources. Join us as we uncover the potential applications of ChatGPT in L&D while addressing the limitations and challenges that come with implementation.
Let’s start exploring ChatGPTs’ impact on Learning and Development together!
A new persona entering the workplace, let’s look at two of them.
1. ChatGPT As A Learning Partner & Community Builder
A collaboration between ChatGPT and Khan Academy demonstrates an effective application of the former in learning. Through this project, ChatGPT has been incorporated into the learning platform to offer students real-time assistance. You can witness its functionality in this video.
Khanmigo showcases how ChatGPT can create interactive learning experiences by addressing student queries, delivering customized feedback, and aiding in problem-solving.
The prospect of enhancing traditional learning methods with ChatGPT, leading to a more engaging, personalized, and efficient learning experience for students, is truly exciting.
2. ChatGPT as a super efficient L&D Assistant
ChatGPT’s scalability and swift deployment are among its primary benefits. Consider the possibility of training thousands of employees simultaneously and in real-time. ChatGPT can enable organizations to deliver uniform learning experiences across departments and regions, without incurring extra expenses associated with hiring trainers or creating bespoke content. The combination of scalability and customized learning paths presents a compelling business rationale.
Here are 3 quick ideas for gaining efficiencies with ChatGPT (generated with the help of ChatGPT 🙂) :
- Quick and Accurate Information Retrieval:
ChatGPT possesses the ability to promptly retrieve pertinent information from various sources, such as databases, articles, and research papers. Features can save time and effort for L&D professionals who spend several hours searching for the information they require.
- Efficient Data Analysis:
ChatGPT can analyze vast amounts of data and furnish insights and recommendations in a fraction of the time it would take a human to perform the same task. This can be advantageous in analyzing training feedback, employee performance data, and other critical metrics to pinpoint areas for enhancement.
- Rapid Response to Queries:
ChatGPT can provide instantaneous responses to employee queries and furnish pertinent information, including training schedules, course materials, and other resources.
One of the preferred ideas for implementing ChatGPT is to leverage its potential for integrating learning materials into the workflow seamlessly. This approach can be more convenient for users to access information and replace traditional systems like FAQs and knowledge centres. Microsoft, a significant shareholder in OpenAI, is actively exploring this idea and intends to make several announcements regarding it shortly (Source: HBR).
Ok, so this is exciting, but let’s look into the barriers to implementing ChatGPT in Learning and Development
- ChatGPT’s dependence on internet data rises potential biases and a dearth of control results in lack of diversity in the generated output. This may pose challenges for organizations to ensure that the generated content is aligned with their particular learning objectives.
- The use of AI-generated content gives rise to ethical considerations such as the perpetuation of misinformation, the necessity for distinguishing it from human-generated content, and the possibility of biases and stereotypes.
- Incorporating ChatGPT into existing L&D systems can be challenging for organizations due to its intricacy, demanding considerable technical know-how, as well as upfront and ongoing expenses.
- There are limitations and resistance to the adoption of AI-powered tools like ChatGPT by employees and L&D professionals who might view them as substitutes for human interaction or conventional learning techniques. Moreover, ChatGPT may not be able to grasp the subtleties of certain topics, resulting in inaccuracies or misunderstandings.
- Organizations have to ensure, the utilization of ChatGPT adheres to pertinent laws and regulations concerning data protection, accessibility, and workplace policies. Moreover, digital divide might present obstacles for employees who do not possess the essential technology or digital skills to utilize ChatGPT.
But these shouldn’t stop us, we jus need to learn to innovate within constraints.
So how might we still bring innovation to L&D within many constraints?
A recent HBR article by Marc Zao-Sanders and Marc Steven Ramos titled “A Framework for Selecting the Right Generative AI Project” (March 2023) can be used here. The authors offer a framework for identifying suitable generative AI projects. Using their recommendations, we applied this framework to L&D.
The board is also available as a Miro Open Space where people are welcome to add their ideas.
If you are in L&D – what can you do now?
As the AI era dawns upon us, there’s an opportunity to explore the benefits and challenges of integrating ChatGPT into L&D. In the future, ChatGPT could serve as a learning companion, community builder, and highly efficient assistant for L&D professionals. While there are certain obstacles to implementation such as biases, ethical considerations, and implementation challenges. It’s fascinating to consider the impact of ChatGPT on L&D.
Indeed, it has the potential to revolutionize corporate learning. Therefore, it is crucial to learn how AI operates, comprehend the capabilities of humans and machines and how they can work together, and acquire proficiency in working with AI, as suggested by Dr. Li Jiang here, the Stanford AIRE director.
If you are in L&D, it is imperative not to dismiss ChatGPT.
Here is a mix of some of the content on ChatGPT, some of it used in the article:
- Adam Grant, Rethinking Podcast, “ChatGPT did NOT title this podcast (w/ Allie Miller & Ethan Mollick)”
- “10 minute Podcast on AI news”
- Curious about AI but not sure where to start? by Simon Brown, CLO Novartis
- Khan Academy announces GPT-4 powered learning guide
- “Survival Strategies in the Era of AI Taught by Stanford”, Stanford AIRE Director Dr. Li Jiang
- A Framework for Picking the Right Generative AI Project, HBR, Marc Steven Ramos