AI Archives

The core requirements of the EU AI Act

The EU AI Act requires companies to ensure that employees have technical, ethical, legal and safety-related knowledge in dealing with AI – tailored to the risk class of the AI systems used. Without this proof, there is a risk of penalties of up to 35 million euros or 7% of annual global turnover.

How chunkx supports your company

chunkx enables companies to meet the requirements of the EU AI Act efficiently and flexibly. Our platform starts where traditional learning methods often fail: We combine AI-powered, hyper-personalized learning content with the specific needs of your employees and your company knowledge.

1. competence analysis for maximum relevance

chunkx analyzes the skills of each individual employee and creates tailored learning content – individually and precisely. Whether you are a beginner, data analyst or manager – everyone learns specifically what they need to use AI safely and effectively.

Advantage: Hyper-personalized microlearning units save time and maximize knowledge growth.

2. automated creation of high-quality content

Our AI uses existing resources – such as the EU AI Act or other publicly available information – and creates ready-to-use content based on them. This enables companies to provide relevant training quickly and cost-effectively.

Benefit: Time and cost savings through automated content provision with consistent quality.

3. integrating learning into everyday working life

chunkx makes learning part of everyday working life: our short learning units can be integrated directly into existing communication channels such as Microsoft Teams, emails or Slack. Instead of a detached platform, we focus on context-based learning “on the job”.

Advantage: Employees apply what they have learned directly, which increases the learning effect and promotes confident handling of AI.

4. sustainable competence building

chunkx is more than just a one-off tool: Our platform supports the long-term development of a learning culture. Continuously updated content ensures that your employees are not only trained in accordance with the law, but are also able to meet the challenges of the future.

Advantage: Sustainability and future-proofing through continuous learning.

The EU AI Act: risks and opportunities

The EU AI Act sets clear framework conditions for dealing with AI and at the same time offers opportunities: trained employees can optimize processes, promote innovation and create trust in AI technologies. chunkx ensures that your company not only complies with the requirements, but also benefits from them.

Conclusion: Compliance made easy with chunkx

chunkx is the perfect solution for successfully implementing the EU AI Act. Our hyper-personalized learning platform teaches AI skills efficiently and in a practical way – and at the same time increases your company’s productivity and innovative strength.

Contact us now and find out how chunkx can make your company future-proof.

What are Recommender Systems?

A recommendation system, also called a recommender system, is a software solution that makes personalized suggestions or recommendations to users for products, services, or content. It is based on the user’s preferences, behavior and interactions. Such systems are often used in online stores, streaming platforms, social networks, but also on modern learning platforms like chunkx. On learning platforms, they are only usually limited to recommending new courses to learners from the respective platform or from a limited number of partners. We think this can be done better!

Recommender Systems in chunkx

In chunkx, we not only process which courses a learner is taking, but we can directly analyze the content of the many individual learning units. This allows us to make comparisons in terms of content. For example, if you learn a lot about diverse leadership, we can use the content of your learning units and your learning data to match them with skills and generate appropriate recommendations:

1) Matching courses in chunkx
Okay, that’s not a surprise yet, but it’s a very important feature for our customers who use our micro-learning platform.

2) Suitable courses outside of chunkx
Now we are getting closer to innovation. Using AI and well-placed data extraction, we can find suitable courses for you to continue learning. Skills, development goals and other parameters can also be taken into account.

3) Articles, studies and updates
chunkx already supports you intensively in the transfer of learning. But with our recommender system, we also make it easy for you to benefit from new articles, studies, and general updates on your topics. Let’s stay with the example of Diverse Leadership: If you have a great course with a subsequent learning subscription in chunkx, you don’t want to stop at this level of content, but rather continue to develop. As long as you keep the subscription to the channel, we will automatically compare your learning data and skills with newly found items and let you know as soon as we find something suitable for you! In this way, we support you not only in the transfer of learning, but also in continuous learning.

Recommendation sources

Quality is a core requirement for our automatically generated recommendations. The first step towards this is to control the sources from which new recommendations may be generated in principle. There are different levels here:

Selected sources
Together with our customers, we determine which sources they want us to crawl on a regular basis. This ensures that only sources requested by the customer are considered for new recommendations. Crawling means that a robot looks at the website again and again and analyzes what new has been published. This content is vectorized to make it easier to compare with learning data.
In-house sources
Of course, customers have even more control over their internal data. And these can also be used for recommendations: Similar to the approach above, we vector internal data, e.g., that of a product database or knowledge platform, and respond to identified knowledge gaps in learners with the perfect recommendations on internal articles.
The free internet
Especially for topics that are highly topical, such as Generative AI, and where things can change on a daily basis, we recommend that customers refrain from restricting sources. Without this restriction, we can find even more suitable recommendations for courses, articles and updates.

Validation of recommendations

Especially with innovative automation, it is important to set up the validation of the results properly. Depending on the use case, an initial validation is already ensured via the restriction and selection of sources. Since our recommender system is primarily based on content proximity between learning units and new courses or articles, there is basically a very good chance of a good fit. All results that are good enough from this point of view end up on a shortlist.

We then have the shortlist analyzed with GPT-4 and compared again with the baseline situation, i.e. the learner data. We only use services via Microsoft Azure here, so we can ensure that none of OpenAI’s data may be used outside of our specific purpose and that all data is processed in Europe (specifically, in France). After processing, a few top results remain.

The top results are humanly checked again before publication, so that really nothing can go wrong. This is true for our asynchronous recommendations, but not for adhoc recommendations, for example, when a learner wants a new course recommendation right now.

Linking with next learning unit

In the image above you can see an example of a recommendation sent by email. What you see below the recommendation: every communication event is used by chunkx to send learners the next learning unit. In this way, we support continuous learning and enable learning directly in the flow-of-work in the channels that people already use anyway (currently we support email and MS Teams).

When do you start with chunkx?

With chunkx, we’ve created the solution to turn your one-off learning activities into continuous learning experiences, including through our recommender systems. Talk to us about your learning culture and the changes in your organization and how chunkx can best support you.

Category: AI

How chunkx supports companies in successfully implementing the EU AI Act