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Fairness, Accountability & Transparency (F.Acc.T) under GDPR

November 9, 2020

  Why the need for Regulation? Algorithmic decisions are already crucially affecting our lives. The last few year, news like the ones listed below are becoming more and more common: – “There’s software used across the country to predict future criminals. And it’s biased against blacks”, 2016 [source: ProPublica]. – “Amazon reportedly scraps internal AI […]

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Using explanations for finding bias in black-box models

October 3, 2019

The need to shed light on black box models There is no doubt, that machine learning (ML) models are being used for solving several business and even social problems. Every year, ML algorithms are getting more accurate, more innovative and consequently, more applicable to a wider range of applications. From detecting cancer   to banking and […]

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On Algorithm Accountability: Can we control what we can’t exactly measure?

May 11, 2018

During the last months, I spent (quality) time with people of diverse backgrounds and roles; from executives in the banking sector, founders of health or tech startups and translators to name a few, discussing the impact of technology and algorithmic decision making on their daily work. Not surprisingly the gravity of the deducted decisions as […]

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