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Challenges of the EU AI Act

EU AI Act: Regulation as an Opportunity for your AI Strategy

The EU AI Act marks a turning point in the regulation of artificial intelligence and creates a new framework for all companies that develop or use AI systems. As an experienced partner, we support you in mastering this challenge and turning it into a strategic advantage. Download our free PDF to find out more!

The EU AI Regulation: Background and Critical Deadlines

The EU AI Act is the world‘s first comprehensive regulation for artificial intelligence and sets new standards for safe, transparent, and ethically acceptable AI systems. In force since August 1, 2024, the law follows a risk-based approach with clear deadlines that every company must keep in mind.

Key Milestones for your Compliance Planning

Prohibited AI practices must be discontinued

Classification of all AI systems into risk categories must be completed

Full implementation of all governance measures and detailed fulfillment of all requirements

The regulation categorizes AI systems according to risk levels, from prohibited practices to high-risk applications to systems with minimal risk. Special attention is given to general-purpose AI models such as GPT-4, which are subject to specific requirements.

Our Benefits

Leveraging AI Act and GDPR Synergies

The GDPR regulates personal data, while the AI Act regulates the use of AI. Overlaps require the GDPR to be included in the risk assessment to ensure data protection compliance.

Diverse Stakeholder Landscape

Successful implementation requires close cooperation between data protection, IT, and legal departments. This is a demanding management task.

Uncontrolled Use of Generative AI

Decentralized use of AI tools makes regulation difficult. Clear guidelines are needed to effectively control their use.

Risk Minimization and Confidence Building

Structured risk assessments minimize problems and strengthen confidence in the company‘s AI solutions.

AI Act and Data Act -
Data as the Basis for AI

The Data Act, which will come into force in 2025, regulates data access. Together with the AI Act, it promotes the responsible use of data and AI technologies.

Historically developed System Landscapes

Many companies have complex systems without a complete register, which makes recording and evaluation difficult and requires thorough analysis.

Recognizing and exploiting Opportunities: Added Value through Compliance

The implementation of the AI Act offers strategic opportunities and strengthens the market position of companies that act early.

Innovation on the right track

Clear guidelines promote responsible innovation and create compliant processes for AI investments.

Exploit Synergies

The integration of these regulations requires comprehensive compliance management, which is guaranteed by our expertise. This enables companies to implement all requirements efficiently.

Moving Target in SaaS Applications

AI features in cloud services are always changing. This means you need to keep an eye on things and adjust your compliance strategies.

Competitive Advantages through early Adoption

Early compliance builds trust and positions companies as pioneers in the responsible use of AI.

Mastering complex Challenges

The implementation of the AI Act presents companies with complex challenges that require careful planning and strategy.

Challenges in General Purpose AI

General Purpose AI systems pose particular challenges for risk assessment and governance. Individual controls are necessary.

Optimization of Processes and Competencies

The requirements offer opportunities for process optimization and the expansion of AI competencies within the company.

Our proven Approach: Achieving Success with AdEx Partners

We support you with a structured, three-step approach to the successful implementation of the EU AI Act:

1. Identify & Validate

  • Analyze the applicability of the AI Act to your systems using structured questionnaires
  • Preparation of detailed management reports to support decision-making
  • Development of a customized implementation plan

2. Mitigation Initiation & Guidelines

  • Development of action plans for the decommissioning or adaptation of prohibited systems
  • Preparation and implementation of targeted AI skills training for all employees and specifically for application managers
  • Preparation of decision templates for „make or buy“ decisions

3. Implementation of Requirements & Establishment of Governance

  • Creation of a comprehensive AI register as the basis for your compliance
  • Implementation of specific requirements depending on risk category using templates and models
  • Establishing robust governance processes for sustainable compliance
  • Operationalize your AI compliance strategy using the framework, controls, and audits in existing structures
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