Responsible AI

AI readiness scan: are you ready for the future of AI? 

The Highberg© AI Readiness Model

The Highberg AI Readiness Model 4

AI offers outstanding opportunities to make accurate predictions, enhance service delivery efficiency, and develop smarter solutions for challenges. But how do you ensure that your organization consistently derives value from AI? Complete our AI Readiness Scan and discover the next steps for your organization.

The Highberg© AI Readiness Scan

Organizational

Digital

Footer Navigation

Header Navigation

The Highberg© AI Readiness Model is a comprehensive interdisciplinary framework for evaluating and enhancing AI capabilities across six pillars: strategic alignment, data management, technological infrastructure, workforce capabilities, ecosystems and change management. We offer a readiness scan to gain insights across your organization to assess the current level of AI readiness of your organization, to identify which categories your organization can improve on and identify opportunities for more effective and responsible use of AI.

Fill in our AI readiness quick scan  and request your personal AI-readiness report now!

Do you want to know more about our AI readiness quick scan or do you have any questions regarding the report? Please feel free to contact our AI-experts Sabine Steenwinkel-den Daas (<a href="mailto:sabine.dendaas@highberg.com" title="mailto:sabine.dendaas@highberg.com">sabine.dendaas@highberg.com</a>) or Pieter Schoonraad (<a href="mailto:pieter.schoonraad@highberg.com" title="mailto:pieter.schoonraad@highberg.com">pieter.schoonraad@highberg.com</a>).

Highberg case study: Municipality of Rotterdam responsible use algorithms and AI systems

Responsible use of algorithms and AI systems

Highberg ondersteunt de gemeente Rotterdam bij verantwoord gebruik van algoritmen en AI systemen

Highberg digital transformation has assisted the municipality of Rotterdam in the responsible use of algorithms and transparency about these algorithms. In this project our experts managed the algorithm registry and executed the processes in the algorithm governance. During the project our experts provided concrete improvement suggestions and implemented these improvements in practice.

Sabine Steenwinkel-den Daas

Highberg supports the municipality of Rotterdam in the responsible use of algorithms and AI systems

Responsible AI: how to achieve AI fairness with understanding and mitigation bias by AI

Bias in AI Explained

This text is translated from Dutch with the help of AI - "Tell me honestly, what's your biggest fear when it comes to algorithms and AI?" When I ask people this question, the response often is, "AI-systems discriminate!" And of course, discriminating is far from desirable. But how do we ensure that algorithms don't discriminate?
First and foremost, it's important to understand that algorithms themselves do not discriminate. However, algorithms can be developed in ways that lead to unwanted or undesired distinctions in representation of groups in the result. This is commonly referred to as "bias" in technical terms. 
Essentially, if you have control over the bias within the algorithm, you also minimalize discrimination. In this insight, I will explain how to achieve this. Let's start by answering the question: What is bias?

Most important obligations in the AI Act: how to comply now?

Break through in regulation of AI: The AI Act

This text is translated from Dutch with the help of AI - On December 8, 2023, the European Union reached a preliminary political agreement on the Artificial Intelligence Regulation (hereafter referred to as the AI Act). The final text is formal approved by the European Parliament. 20 days after official publication the AI Act will enter into force. This landmark legislation marks the EU's first step towards regulating artificial intelligence, targeting developers, distributors, and users of AI systems, including those systems used for predictions, classifications, and analyses.
The potential impact on governments and businesses deploying AI systems is significant. In this insight, we'll walk you through the key obligations, how they affect your organization, and proactive steps you can take to ensure compliance.

Control AI risks and make impact: top criteria for responsible deployment of AI systems

In control of your AI systems

This text is translated from Dutch with the help of AI - Have you ever heard or said within your organization, "We're working with data/algorithms/AI" or "We have plenty of data initiatives, but scaling within the organization is challenging"? These questions all boil down to one main question: How do you ensure that you apply the right algorithms in the right way?

The Highberg© AI Readiness Scan

AI readiness scan: are you ready for the future of AI?

Ready to successfully start implementing AI?

Want to know more?

Related insights