Abstract:

Lifelong learning is a necessary, inclusive, and continuous learning process that supports the acquisition of knowledge and the development of skills throughout one's entire life. There are many advantages of lifelong learning, i.e., it serves as an effective tool for personal and professional development, is beneficial for individuals to adapt to job changes and achieve career goals and can help preserve cognitive health. There are also challenges associated with lifelong learning, like substantial time and financial costs, information overload, especially by using the internet, which could lead to stress or even burnout.

Generative AI (GenAI) within training and learning, also within lifelong learning, enables personalized learning paths that correspond to individual learning interests, making lifelong learning more engaging and effective, and aligning it with personal career goals. GenAI can improve the quality of outdated or low-quality learning materials, such as historical documents, photographs, and films, and can also process and generate text in multiple languages.

There are also weaknesses in using GenAI in lifelong learning, i.e., the data that GenAI models use for training has inaccuracies and biases in it. AI systems often require vast amounts of data to function effectively, which can lead to significant privacy concerns and expose sensitive information without individuals' consent. The use of GenAI is a substantial risk to employment, particularly in industries reliant on routine and repetitive tasks. Gen AI can also easily create fake news and misinformation.

Additionally, there is a risk of data breaches and leaks, which can compromise personal and financial information, leading to identity theft and other forms of exploitation.

Competence frameworks, which help companies to systematically use GenAI in their skilling processes, to communicate to lifelong learners what competencies and behaviors are required, valued, and recognized, and that lifelong learning and career growth are inseparable in today's workplace, have to be developed:
- In the first part of this presentation, both the strengths and challenges within a lifelong learning process are discussed. This helps in making informed decisions and creating more effective and balanced learning paths to fulfil companies' and personal requirements within a rapidly evolving world.
- In the second part of the paper, the benefits of using Artificial Intelligence (AI), particularly Generative AI (GenAI), in education/training, and especially within lifelong learning, as well as problems in this context, are discussed.
- In the third part, some ideas are given about the development of competence frameworks.

Some conclusions are presented, i.e., that future GenAI must be free from static limitations, supporting research that learn and grows continuously to respond intelligently and support innovative lifelong learning approaches.

Literature review, discussions with education experts, the author's work experience, including international projects, and the role as coordinator of a lifelong learning study group, form the basis for this presentation.

Keywords:

Lifelong Learning, GenAI, Competency Frameworks.