How can workshops help increase AI competence?
Posted: Sun Feb 02, 2025 3:19 am
What are the training obligations and prohibitions under the AI Regulation?
The AI Regulation (AI-VO, also known as AI VO) stipulates training obligations and clear prohibitions. Companies must ensure that their team members are regularly trained to meet the AI competency requirements. This training is particularly crucial with regard to the legal and ethical requirements of AI use.
The AI Regulation also prohibits the use of certain AI systems in areas such as biometric surveillance or law enforcement, unless special authorisations are in place.
Workshops play an important role when it comes indonesia number dataset to improving employees' AI skills. An example of a successful workshop is conducting a practical training course on risk assessment of AI systems, which allows participants to apply the theoretical content directly and thus develop a deeper understanding. They offer the opportunity to deepen knowledge and ensure that team members are familiar with the new requirements. Workshops can be used specifically to prepare employees for specific AI use cases, to ensure the safe use of AI systems and to gain practical experience in dealing with AI. Practical training also makes it easier to transfer the knowledge acquired into everyday work, which in the long term leads to more effective use of AI technologies. I am convinced that imparting practical skills significantly improves the handling of generative AI. In addition, knowledge is imparted on how this technology can be used sensibly and responsibly.
Regular training and seminars ensure that employees are up to date and the risks associated with AI technologies are minimized.
The importance of practice-oriented learning for dealing with generative AI
snipKI.de aims to enable people to use these technologies sensibly and responsibly in their everyday professional lives through practical learning opportunities in the field of artificial intelligence. Our platform offers understandable, easily accessible content that not only conveys technical knowledge, but also shows practical application possibilities. You can find out more at snipKI.de .
Dealing with generative AI offers enormous opportunities for the world of work. In industry, for example, generative AI can be used to support automated design processes and accelerate product development. In healthcare, generative AI helps analyze medical data and create personalized treatment suggestions. In marketing, the technology enables the creation of creative content and personalized advertising campaigns. These diverse uses show how valuable generative AI can be for different industries. This technology is often viewed with uncertainty, but with the right approach, it can be a valuable tool that makes our work processes more efficient and creative. Hands-on learning is key: it's not just about learning "something new," but about understanding how to use these new technologies in practice to achieve positive results.
The application of generative AI can optimize work processes, support creative processes and create new opportunities for innovation. Education and training are essential to stay up to date and to fully exploit the advantages of these technologies. Employees who are trained with practical training not only understand how AI works, but also its potential to improve everyday work. Instead of being afraid of change, we should take advantage of the opportunities that generative AI offers us and ensure that we are optimally prepared through continuous learning.
The AI Regulation (AI-VO, also known as AI VO) stipulates training obligations and clear prohibitions. Companies must ensure that their team members are regularly trained to meet the AI competency requirements. This training is particularly crucial with regard to the legal and ethical requirements of AI use.
The AI Regulation also prohibits the use of certain AI systems in areas such as biometric surveillance or law enforcement, unless special authorisations are in place.
Workshops play an important role when it comes indonesia number dataset to improving employees' AI skills. An example of a successful workshop is conducting a practical training course on risk assessment of AI systems, which allows participants to apply the theoretical content directly and thus develop a deeper understanding. They offer the opportunity to deepen knowledge and ensure that team members are familiar with the new requirements. Workshops can be used specifically to prepare employees for specific AI use cases, to ensure the safe use of AI systems and to gain practical experience in dealing with AI. Practical training also makes it easier to transfer the knowledge acquired into everyday work, which in the long term leads to more effective use of AI technologies. I am convinced that imparting practical skills significantly improves the handling of generative AI. In addition, knowledge is imparted on how this technology can be used sensibly and responsibly.
Regular training and seminars ensure that employees are up to date and the risks associated with AI technologies are minimized.
The importance of practice-oriented learning for dealing with generative AI
snipKI.de aims to enable people to use these technologies sensibly and responsibly in their everyday professional lives through practical learning opportunities in the field of artificial intelligence. Our platform offers understandable, easily accessible content that not only conveys technical knowledge, but also shows practical application possibilities. You can find out more at snipKI.de .
Dealing with generative AI offers enormous opportunities for the world of work. In industry, for example, generative AI can be used to support automated design processes and accelerate product development. In healthcare, generative AI helps analyze medical data and create personalized treatment suggestions. In marketing, the technology enables the creation of creative content and personalized advertising campaigns. These diverse uses show how valuable generative AI can be for different industries. This technology is often viewed with uncertainty, but with the right approach, it can be a valuable tool that makes our work processes more efficient and creative. Hands-on learning is key: it's not just about learning "something new," but about understanding how to use these new technologies in practice to achieve positive results.
The application of generative AI can optimize work processes, support creative processes and create new opportunities for innovation. Education and training are essential to stay up to date and to fully exploit the advantages of these technologies. Employees who are trained with practical training not only understand how AI works, but also its potential to improve everyday work. Instead of being afraid of change, we should take advantage of the opportunities that generative AI offers us and ensure that we are optimally prepared through continuous learning.