The use of Artificial Intelligence (AI) is becoming increasingly important for companies. But how can AI be used in compliance with data protection regulations, without violating legal requirements? In this article, we show how companies can ensure the safe use of AI – and how the consultants of KVINNE GmbH can provide support.
There are many possible applications for Artificial Intelligence (AI) in today’s business world. They range from automating routine tasks to predicting market trends. Companies use AI, for example, to analyze large volumes of data, process customer inquiries in real time, or even develop personalized marketing campaigns that are precisely tailored to the needs of their target audience. In production as well, AI systems optimize processes and enable more efficient use of resources. But despite all these advantages, the question remains: how can AI be used safely and in compliance with data protection regulations, without breaking the law? Data protection violations remain a major concern for many companies, especially when it comes to integrating AI services into the cloud, where personal data may be processed.
Examples of AI functions:
- Automated Data Analysis: Evaluation of large data sets to gain insights.
- Speech and Image Recognition: Understanding and processing of language as well as recognition and classification of images.
- Predictive Analytics: Forecasting future developments based on historical data.
- Chatbots and Virtual Assistants: Automated customer service and support around the clock.
- Personalization: Customization of content and offers to individual customer preferences.
Industries That Benefit from AI:
Logistics: Route planning, demand forecasting, and inventory management.
Healthcare: Diagnostic support, patient data analysis, and personalized medicine.
Financial Services: Credit assessments, fraud detection, and algorithmic trading.
Retail: Inventory management, price optimization, and tailored promotions.
Manufacturing: Process optimization, quality control, and predictive maintenance.
Why Data Protection Is So Important When Using AI
Many companies hesitate to integrate AI into their processes because they fear data protection violations. A survey by the digital association Bitkom shows that 70 percent of companies see data protection breaches as the greatest risk when using AI. The use of AI services in the cloud is considered particularly critical.
Challenges in the Use of AI Services
- Data Protection Risks: Concerns about data privacy are a central obstacle to the use of AI in companies.
- Cloud Services: The integration of AI services in the cloud is seen by many companies as difficult to reconcile with data protection requirements.
Here, the consultants of KVINNE GmbH can help companies by developing tailored solutions that enable the use of AI while meeting strict data protection requirements.
The AI Act: A New Framework for the Data Protection-Compliant Use of AI
On May 21, 2024, the European Union adopted the world’s first comprehensive legal framework for artificial intelligence, the so-called AI Act. This law provides companies with clear guidelines on how to use AI in compliance with data protection regulations.
What the AI Act Regulates
- Risk-Based Approach: The AI Act sets strict requirements for high-risk AI systems and prohibits applications that pose an unacceptable risk.
- Transparency Obligation: Artificially generated content must be clearly labeled as such.
The experts at KVINNE GmbH can support you in implementing the requirements of the AI Act in your company and ensuring that your AI applications comply with legal regulations.
Practical Guide: How to Use AI in Compliance with Data Protection
To support companies in implementing data protection requirements, the digital association Bitkom has published the practical guide “Artificial Intelligence and Data Protection.” This guide is a valuable resource for anyone who wants to use AI in compliance with data protection regulations.
Contents of the Practical Guide
- Definition of AI: Distinction from traditional software and overview of relevant legal frameworks.
- GDPR and AI Act: Detailed explanations of transparency and information obligations as well as the requirements for a data protection impact assessment.
- Practical Example: An example from the automotive industry shows how AI can be implemented in compliance with data protection regulations.
The consultants at KVINNE GmbH are at your side to help you apply the guide effectively in your company and ensure the data protection-compliant use of AI.
Checklists for the Safe Use of AI
The guide contains two detailed checklists that help companies design the use of AI step by step in compliance with data protection – whether when training their own AI models or when using external AI systems.
For individual advice on implementing these checklists and on the data protection-compliant use of AI, please contact the experts at KVINNE GmbH. If you would like to receive preliminary information about the approach we practice, we provide it here. DOWNLOAD Approach
Download of the Practical Guide
The practical guide “Artificial Intelligence and Data Protection” is available for free download. Learn more at: www.bitkom.org/Bitkom/Publikationen/KI-Datenschutz-Praxisleitfaden.
We hope this article has given you a clear overview of data protection when using your AI systems. If you have any questions or need further information, we will be happy to advise you in a free initial consultation.
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