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Opinion: L&D work may soon start to look different
Natural language processing algorithms and related technologies will radically change the approach to learning and development (L&D). In his article, "Three Trends Unlocking AI's Potential for L&D in 2023," Juan Naranjo, Senior Manager of Corporate Learning at Rogers Communication, emphasizes that the introduction of artificial intelligence into this field opens up new opportunities. These changes will not only optimize learning processes but also make them more personalized and effective. AI is expected to create more adaptive learning materials and improve interactions between learners and instructors, ultimately enhancing the quality of corporate learning.
Artificial intelligence is already demonstrating the ability to generate original content, including text and visual materials. As technology advances, learning professionals will be able to reduce the time spent on content creation and focus on curation and optimization. Experts say this will improve the quality of educational materials and enhance their absorption.
How can modern technologies be used to create educational content? For example, you can use a bot to generate ideas and create a course draft. Afterwards, using tools like DALL-E 2, you can quickly add visual elements and illustrations to make the material more engaging. Video content is also important: programs like Lumen5 make it easy to adapt existing recordings or create new ones simply by uploading text. Artificial intelligence can also assist in selecting educational resources and developing training plans for employees, significantly simplifying the training process.
The expert asserts that integrating all these functions into an internal system with content libraries will automate the process of developing training materials. This will lead to increased efficiency and a reduction in the time spent on creating high-quality educational content. Automating this process will open up new opportunities for optimizing training programs and improving the user experience.
Naranjo asserts that when the tools are fully integrated with internal information repositories and company libraries, the process of developing training materials will significantly accelerate. As a result, the time required to create training materials will be reduced several times compared to current levels. This will be possible thanks to the effective use of technologies that will allow for the automation and optimization of processes.
Another opinion: don't expect any quick changes
The changes mentioned above are indeed attractive and have the potential to be realized in the future, however, according to Markus Bernhardt, Chief Evangelist of Obrizum, and Clark Quinn, Ph.D., CEO of Quinnovation, this will not happen in the near future. In their article, "How ChatGPT3 Impacts the Future of L&D in the World of AI," they share their opinion that the implementation of such technologies will require time and careful development.
AI-powered chatbots like ChatGPT function as information mirrors, experts say. They don't create new content or knowledge, but merely display and process already-loaded data. Therefore, their ability to generate responses, even in a variety of styles, is limited by the volume and quality of the information entered.
The problem is that mirrors can only reflect what we show them. This includes not only facts, but also all the opinions and biases we present to them. Therefore, it is important to recognize that the reflection may not always be objective and is often influenced by our perceptions and biases.
Experts note that if a neural network were trained solely on The Hitchhiker's Guide to the Galaxy, it would perceive the world described in this work as the only possible reality. As a result, chatbots would respond to users based solely on this knowledge base. This emphasizes that chatbots cannot currently be completely relied upon, as their responses are limited by the data they use.
The implications of using artificial intelligence technologies in education are significant. To avoid negative scenarios similar to those described in The Hitchhiker's Guide to the Galaxy, it is important to carefully monitor and validate the input into any AI used in educational processes. Bernhardt and Quinn emphasize that for the successful and safe implementation of AI in education, attention must be paid to the quality and reliability of the systems being created. This will help ensure an effective and safe educational space, free from potential threats that may arise from the improper use of technology.
Even without the aforementioned problems, the bot has another limitation: it relies only on basic content. This may be sufficient for school essays or mid-level theses, but it is clearly insufficient for professional training in highly specialized fields. This requires deep and unique knowledge, as well as an understanding of the specifics of specific products, services, or customer needs. Therefore, neural networks in the field of learning and development (L&D) currently do not bring significant changes: high-quality educational content still needs to be created manually and carefully curated.
Despite the presence of content, ChatGPT is not capable of providing a complete learning process. Effective learning requires a combination of text and visual information, practical tasks, repetition of learned material, and reflection for its further application. These elements are essential for deep knowledge acquisition and skill development.
How ChatGPT will impact the future of L&D and what can be done now
ChatGPT has many features that can be used today. It effectively answers simple questions and can compile short summaries from large volumes of text. Its interface is also user-friendly and intuitive. This makes it a useful tool for learning and development (L&D). ChatGPT can process and review existing materials on simple topics, as well as identify and fill gaps. With these features, using ChatGPT in training can significantly improve the efficiency of working with training materials.
Chatbots and similar technologies shouldn't be expected to revolutionize learning in the near future, say experts Markus Bernhardt and Clark Quinn. Artificial intelligence can simplify routine tasks, but qualified specialists are still needed to create and curate content, as well as to check the results and create a complete learning experience. Most likely, this situation will remain for a long time, which, according to experts, is a positive aspect. The best solutions will be achieved through the collaboration of humans and technology, including artificial intelligence.
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