EU AI Act: Seminar to strengthen your AI expertise
The EU AI Act has been in force since August 1, 2024 – Visit our training courses to build the necessary AI expertise.
- AI expertise for employees
- AI expertise for process and data managers
- Individual – AI expertise for user companies
EU AI Act: the new AI regulation comes into force
The EU AI Act is a European Union law regulating the use of artificial intelligence (AI), which was passed on 1. August, 2024 The EU AI Act entered into force on. It applies to all companies, public authorities, and organizations that develop or use AI in the EU. The EU AI Act is intended to Promote the ethical and safe use of AI technologies, strengthen trust in innovations while minimizing risks. The regulation is to be applied in several stages.
Risk classification of AI systems in accordance with the AI Act
Companies need to divide their AI systems into different categories. Risk classes are defined (from minimal to high risk). Depending on the classification, specific requirements apply, especially when using AI in areas such as health, education, and security.
Transparency and documentation obligations
Transparency must also be ensured for low-risk systems. Users of high-risk AI systems must carefully monitor, document, and control their use to minimize risks to security and fundamental rights.
Security and compliance checks
It will Regular audits and reviews are required to ensure compliance with the AI Regulation. This includes, among other things, security measures, risk analyses, and adherence to ethical standards.
AI skills training for employees under the AI Act – conveniently available as online training. Dates on request | €99
Book an appointmentNew rules for dealing with artificial intelligence under the AI Act
Skills shortages, cost pressures, increasing complexity – today’s challenges demand tomorrow’s solutions. Open LS offers IT solutions. The regulations of the EU AI Act provide for Classification of AI systems according to their risk. This involves four risk classes distinguished – prohibited AI practices, High-risk AI, AI with medium and specific risk as well as Low-risk AI. As a general rule, the higher the potential risks a system poses to humans, the more strictly it is regulated. Prohibited AI systems are considered unacceptable; these include, for example, social scoring or mass surveillance technologies. High-risk AI systems are permitted but subject to stringent requirements because they can directly impact human life and rights. These systems are used, for instance, in critical infrastructure, education, human resources management, and creditworthiness assessment. Consulting in the field of data science and AI-supported approaches to optimize processes, automate routines, and fully leverage the potential of data and expertise. The result: greater efficiency, increased speed, and innovation. Higher quality – in data, decisions, and processes.
Our expertise goes far beyond mere implementation. With a deep understanding of AI, data science and automation, we make your processes smarter, decisions more precise and resources optimally usable. Numerous successful projects prove this: We understand your requirements and develop solutions that help you make sustainable progress.
What you can expect
Your new obligations as an AI provider and/or operator
Under the EU AI Act, providers and operators of large language models (LLMs) have clear obligations. Providers must ensure that AI-generated texts are clearly marked and remain machine-readable and reliable.
Operators, also called users or deployers, must also provide this labeling if the content is published and concerns important public issues. Labeling is not required if the content has been reviewed or editorially controlled by humans.
Compulsory training: why you need trained employees
The new legislation requires companies to ensure that employees working with AI systems are informed about possess sufficient AI expertise, knowledge, and skills. Providers and operators of AI technology must ensure that Their staff receives comprehensive training from AI experts to ensure they can use AI systems safely and responsibly. This involves not only technical knowledge but also understanding the opportunities and risks of AI. Accordingly, the training must be tailored to the existing knowledge and specific area of responsibility of the employees.
Mandatory labeling: AI-generated content gets a label
The new EU AI Act regulation stipulates clear labelling requirements for AI-generated content to ensure transparency and protect the public from misleading information. One important provision concerns the Mandatory labeling of AI-generated texts. Articles created using AI that address public affairs must be clearly labeled as such. This measure aims to ensure that readers know when they are dealing with machine-generated content, especially when it concerns topics of public interest.
Furthermore, there are strict requirements for transparency regarding AI-generated images and videos. Visual content created or manipulated by AI—so-called deepfakes—must be clearly labeled. This is intended to prevent false or manipulated content from being perceived as genuine and thus maintain public trust in digital media. The labeling requirements of the AI Act aim to minimize the misuse of AI technologies while simultaneously promoting the ethical use of these systems.
Obtain sufficient AI expertise from experts
We provide AI operators and/or users with expert advice to ensure full AI compliance. In doing so, we support you in implementing the requirements of the EU AI Act and designing your AI systems responsibly and in compliance with the law. We ensure that your company is equipped with sufficient AI expertise.
Arrange an appointmentEU AI Act: Seminar to strengthen your AI expertise
Know-how as a success factor: The better you understand the opportunities and risks of artificial intelligence, the more effectively you can exploit its potential. A well-trained team thus becomes a real competitive advantage for your company. You also ensure that your employees have sufficient AI skills. Contact us – we will be happy to find the right solution for you.
Favorite
€
129
unique
- 6 months of access
- Prerequisite: None
- Online seminar
For employees from all departments
Info: Available in German and English
Seminar content AI competence for employees as part of the AI Act:
- Basics of artificial intelligence – terms and concepts
- Functions and capabilities of AI-based systems
- Function, opportunities and risks of generative AI (language models / LLMs)
- Scoring and classification
- Recommendation systems
- Forecasts and simulations
- Use cases from everyday operations
- Open discussion
All topics are explained using practical examples.
The basics of artificial intelligence are taught online, alternating between theory and practical examples.
within the framework of the AI Act
€
199
unique
- Duration: 2.5 hours.
- Prerequisite: None
- Training your own AI models
- Online seminar or face-to-face appointment
Process and data managers
Management functions
Info : Appointments available upon request
Seminar content AI competence within the framework of the AI Act:
- Brief recap – basics of artificial intelligence
- Exemplary training and use of models for the following tasks:
- Scoring of customers, suppliers and interested parties
- Fraud detection
- Technical service / customer service
- Master data
- Customer life cycle and recommendations
- Demand forecasts
- Information research and information extraction in the context of sales and personnel
- Framework conditions for the use of artificial intelligence, opportunities and risks
- Comprehensible artificial intelligence and use cases
- Open discussion
Participants will have the opportunity to train and use their own AI models live. Skills in the field of artificial intelligence or IT are not necessary for participation.
The basics of artificial intelligence are taught online, alternating between theory and practical examples.
within the framework of the AI Act
€
1499
unique
- Duration: 6 hours.
- Prerequisite: None
- Training your own AI models
- Attendance date
For employees from all departments
For managers from all specialist areas
Info : Appointments available upon request
Individual seminar on AI competence within the framework of the AI Act – exemplary content:
- Basics of artificial intelligence – terms and concepts
- Functions and capabilities of AI-based systems
- Function, opportunities and risks of generative AI (language models / LLMs)
- Description and evaluation of own use cases in the field of artificial intelligence
- Data basis
- Legal classification
- Technical feasibility
- Economic benefits
- Training and use of AI models, e.g. for the areas:
- Purchasing
- Sales
- Controlling and finance
- Master data
- Personnel
- Customer service
- Framework conditions for the use of artificial intelligence, opportunities and risks
- Comprehensible artificial intelligence and use cases
- Open discussion
Alternating between theory and practical examples, the basics of artificial intelligence are taught in a classroom session or online if desired.
We design the content of the seminar AI competenceas part of the AI Act with you according to your ideas. Competencies in the field of artificial intelligence or IT are not necessary for participation.
Note
At Open Logic Systems, we provide AI operators and/or users with expert advice on building AI expertise to ensure full AI compliance. However, we do not provide legal advice.
Frequently asked questions about the AI Act
Here you will find an overview of frequently asked questions:
- Evaluation according to social status: AI systems that evaluate people based on their social rank or characteristics.
- Surveillance of public spaces: Biometric systems for comprehensive surveillance, except in the case of serious security threats.
- Child endangerment: Systems that exploit vulnerable groups or encourage risky behavior in children.
- Creation of fake content: Deepfake technologies that create deceptively real but fake media content.
- Monitoring emotional states: AI systems for recording employees’ emotions in the workplace.
- Certain AI systems are used to manage safety-critical infrastructures such as energy and transport systems.
- AI systems are used in educational institutions to decide on access and assessment of pupils and students.
- AI systems are used in recruitment and employee monitoring to support decisions on recruitment, promotion and task allocation.
- The creditworthiness of natural persons is also checked by special AI systems, with the exception of systems for detecting financial fraud.
By definition, an “AI system provider” is a natural or legal person, public authority, agency or other body that develops or has developed an AI system or an AI model with a general purpose and places it on the market under its own name or trademark or puts the AI system into operation under its own name or trademark, whether in return for payment or free of charge.
“Operator” of an AI system is a natural or legal person, authority, institution or other body that uses an AI system under its own responsibility, unless the AI system is used in the context of a personal and non-professional activity.
The EU AI Act provides for a gradual implementation of the law by 2030. A regularly updated timeline of the most important dates can be found here.
No. Like the GDPR, the AI Regulation applies to operators of AI systems if they are established or “physically present” in the EU. The AI Act is also aimed at providers and operators of AI that are established or located outside the EU but whose systems generate results that are used in the Union.
Contact
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