Workshops
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) that came into force on August 1, 2024. The AI Act is aimed at all companies, 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 innovation and minimize risks at the same time. The regulation is to be applied in several stages.
Companies must categorize their AI systems into different risk classes (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 must also be ensured for low-risk systems. Users of high-risk AI systems must carefully monitor, document and control their use in order to minimize risks to security and fundamental rights.
AI competence for employees as part of the AI Act - conveniently as online training. Dates on request | 99 €
Key data
New rules for dealing with artificial intelligence under the AI Act
Skills shortages, cost pressure, growing complexity – today’s challenges demand tomorrow’s solutions. Open LS offers IT The regulations of the EU AI Act provide for a classification of AI systems according to their risk. A distinction is made between four risk classes – prohibited AI practices, high-risk AI, AI with a medium and specific risk and AI with a low risk. In principle, the higher the potential risks of a system for humans, the more strictly it is regulated. Prohibited AI systems are considered unacceptable, such as social scoring or mass surveillance technologies. Although high-risk AI systems are permitted, they are subject to strict requirements as they can have a direct impact on people’s lives and rights. These systems are used, for example, in critical infrastructures, in the education sector, in personnel administration or in credit scoring.consulting in the field of data science and AI-supported approaches to optimize processes, automate routines and exploit the full potential of data and specialists. The result: more efficiency, greater speed and innovation. More 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 labeled and remain machine-readable and reliable.
Operators, also known as users or deployers, must also provide this labeling if the content is published and concerns important public issues. Labelling is not required if the content has been reviewed or editorially checked by humans.
Compulsory training: why you need trained employees
The new legislation obliges companies to ensure that employees who work with AI systems have sufficient AI skills, knowledge and abilities. Providers and operators of AI technology must ensure that their staff are comprehensively trained by AI experts in order to be able to use AI systems safely and responsibly. This is not just about technical knowledge, but also about understanding the opportunities and risks of AI. Accordingly, the training must be adapted to the existing knowledge and the specific area of application of the employees.
Mandatory labeling: AI-generated content gets a label
The new EU AI Act Regulation provides for clear labeling requirements for AI-generated content in order to ensure transparency and protect the public from misleading information. One important regulation concerns the labeling obligation for AI-generated texts. Articles that were created using AI and deal with public affairs must be clearly labeled as such. This measure is intended to ensure that readers know when they are dealing with machine-generated content, especially if it concerns topics of public interest.
There are also strict requirements for the transparency of AI-generated images and videos. Visual content that has been generated or manipulated by AI – known as 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 AI Act’s labelling requirements aim to minimize the misuse of AI technologies and at the same time promote the ethical use of these systems.
What can I do?
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.
Prices
EU 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.
Online seminar
AI expertise for employeesas part of the AI Act
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For employees from all departments
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Duration: 1.5 hours.
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Prerequisite: None
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Online seminar
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Appointments can be made at short notice
Seminar content AI competence for employees
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Basics of artificial intelligence – terms and concepts
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Functions and capabilities of AI-based systems
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Function, opportunities and risks of generative AI (language models / LLMs)
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Scoring and classification
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Recommendation systems
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Forecasts and simulations
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Use cases from everyday operations
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Open discussion
Methodology
The basics of artificial intelligence are taught online, alternating between theory and practical examples.
Training
AI expertise for process and data managersas part of the AI Act
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Process and data managers
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Management functions
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Duration: 2.5 hours.
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Prerequisite: None
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Training your own AI models
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Online seminar or face-to-face appointment
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Dates on request
Seminar content AI competence for employees
Seminar content AI competence within the framework of the AI Act:
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Brief recap – basics of artificial intelligence
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Exemplary training and use of models for the following tasks:
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Scoring of customers, suppliers and interested parties
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Fraud detection
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Technical service / customer service
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Master data
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Customer life cycle and recommendations
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Demand forecasts
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Information research and information extraction in the context of sales and personnel
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Framework conditions for the use of artificial intelligence, opportunities and risks
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Comprehensible artificial intelligence and use cases
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Open discussion
Methodology
The basics of artificial intelligence are taught online, alternating between theory and practical examples.
Training
Individual - AI expertise for user companiesas part of the AI Act
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For employees from all departments
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For managers from all specialist areas
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Duration: 6 hours.
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Prerequisite: None
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Training your own AI models
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Attendance date
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Dates on request
Seminar content AI competence for employees
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Basics of artificial intelligence – terms and concepts
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Functions and capabilities of AI-based systems
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Function, opportunities and risks of generative AI (language models / LLMs)
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Description and evaluation of own use cases in the field of artificial intelligence
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Data basis
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Legal classification
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Technical feasibility
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Economic benefits
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Training and use of AI models, e.g. for the areas of:
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Purchasing
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Distribution
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Controlling and finance
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Master data
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Personnel
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Customer service
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Framework conditions for the use of artificial intelligence, opportunities and risks
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Comprehensible artificial intelligence and use cases
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Open discussion
Methodology
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.
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Certain AI systems are used to manage safety-critical infrastructures such as energy and transportation systems.
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AI systems are used in educational institutions to decide on access and assessment of pupils and students.
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AI systems are used in recruitment and employee monitoring to support decisions on recruitment, promotion and task allocation.
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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 us
How can we provide support?
Would you like to receive further information or are you interested in an individual consultation? Simply let us know in a short message how we can help you and we will get back to you as soon as possible.
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