Azure Machine Learning – The Responsible Road
April 1st, 2021AI transforms sectors from medical diagnostics to autonomous vehicles. But with that power comes responsibility. Data can tell the truth, but it is not always the full truth — and algorithmic decisions increasingly affect people's lives, from loan approvals to parole determinations.
Interpretability and fairness
Microsoft developed tools enabling interpretability of AI models. Interpret-Text provides explainable text-based models, FairLearn helps mitigate algorithmic bias, and DiCE offers counterfactual explanations — helping answer the question of what would need to change for a different outcome.
Privacy-preserving analysis
Security-focused tools address data privacy at the infrastructure level. Differential Privacy WhiteNoise enables privacy-preserving analysis, SEAL SDK supports homomorphic encryption, and Open Enclave provides a framework for processing encrypted data in secure environments.
Tracking and auditing model iterations
Azure Machine Learning Audit Trail tracks model iterations and dataset changes automatically. This is essential for compliance and accountability — knowing exactly which data and parameters produced a specific model version. Originally published on datafish.eu, this article summarises insights from a livestream discussion between four Microsoft AI MVPs.
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Ethics and the power of AI – having a chat with Minister Bart Somers
The mayor of Mechelen and Vice-Minister-President of the Flemish Government met with Arinti and Microsoft to discuss the possibilities of AI in government and its ethical consequences.
Four years Arinti – Four lessons from four years of AI projects
After four years of AI projects, here are the four most important lessons we've learned: be open to change, empower everyone, account for hidden costs, and define your goals before you start.
Smart Monitoring: Predictive Maintenance and Anomaly Detection Explained
We built a smart monitoring dashboard for Fednot using Azure Databricks, Anomaly Detector API, and Power BI — turning unstructured log files into predictive maintenance insights.
