AI Governance with

Artificial Intelligence Regulation, Ethical AI, Innovation, Compliance, AI Systems

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News and Updates

Read about AI news and our updates

EU Parliament Approves Landmark Artificial Intelligence Act
EU Parliament Approves Landmark Artificial Intelligence Act

EU Parliament approves landmark Artificial Intelligence Act, setting regulatory framework for AI development in Europe.

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EU Needs 'Oppenheimers' to Run AI Policy
EU Needs ‘Oppenheimers’ to Run AI Policy

Dragoș Tudorache, an architect of the EU’s AI rulebook, stresses the necessity of recruiting top talent, akin to ‘Oppenheimers,’ to effectively implement the Artificial Intelligence Act.

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MIE’24 – Diptish Dey Helps Companies Comply with the EU AI Act
MIE’24 – Diptish Dey Helps Companies Comply with the EU AI Act

Diptish Dey, researcher and lecturer at the Amsterdam University of Applied Sciences,introduces the strategic model ‘APPRAISE’ for companies to comply with the law’s requirements.

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Key Insights into AI Governance

Delve into the our paper on AI governance through our research in the Netherlands. Discover how the proposed APPRAISE framework addresses challenges and provides valuable insights for organizations.

  • Learnings from GDPR and their impact on AI governance
  • Size matters: Analyzing compliance based on organization size
  • The role of audit in ensuring AIA compliance
Link to our full paper

Our Work

Check out our latest research summaries

AI Governance and Compliance Challenges
AI Governance and Compliance Challenges

Exploring the challenges and solutions in AI governance and compliance, with a focus on the APPRAISE framework.

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An Audit Framework for Technical Assessment of Binary Classifiers
An Audit Framework for Technical Assessment of Binary Classifiers

This paper introduces an audit framework for assessing binary classifiers, ensuring compliance with the AIA by evaluating model transparency and fairness.

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Quantifying Popularity Bias in Recommender Systems
Quantifying Popularity Bias in Recommender Systems

Quantifying biases in Recommender Systems, proposing metrics to address fairness, demonstrated effectiveness on diverse datasets.

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research summaries