AI models are interchangeable, but their effects are not. Whether a system poses a low or high risk does not depend on the technology, but on the intended use. Modern AI governance must therefore focus on the use case and not on the specific tool. This article shows how companies can make risks manageable.
With reference to its previous case law, the ECJ has clarified the meaning of the term "personal data" in connection with the Transmission pseudonymized data to Third specified.
As part of the „Digital Omnibus,“ the European Commission is planning a far-reaching reform of the General Data Protection Regulation, which will focus in particular on the rules for online—Tracking and cookie banners. Here are the most important changes.
In Ailance, you can use the Share button to share a context-accurate link from any data record or view. This is ideal if colleagues need to check, approve or adopt something quickly. The recipient is taken directly to the right place without having to click through deep menus.
The AI Regulation obliges companies to provide a complete technical documentation for each AI system. Documentation to create. However, the documentation obligation also provides the decisive lever for traceability and quality. Those who document their AI understand it and can also take responsibility for it. How this works in practice.
Anyone who regularly works with Ailance RoPA will be familiar with this: you are constantly switching back and forth between processing activities, parties involved and data protection impact assessments (DPIAs). Focus and time can quickly get lost in the process. There is a simple trick to remedy this: the multi-tab workflow.
What is the relationship between the Digital Markets Act (DMA) and the General Data Protection Regulation (GDPR)? The European Data Protection Board (EDPB) and the European Commission have published joint Guidelines have been drawn up. These show how the two legal acts interact with each other and how potential conflicts can be avoided.
From chatbots to scoring: every AI in a company needs measurable responsibility, clear evidence and a robust process. Taking a structured approach now will protect data, brand value and the ability to innovate. Starting point: a central AI inventory, binding workflows and model maps, controlled in Ailance AI Governance.
You can also follow us on our social media channels:
Contact us
Phone: +1 (954) 852-1633
E-Mail:info@2b-advice.com
German German 
English
Italian
French