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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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Ethos 1.0, or the need to build software with intrinsic human values

November 7, 2018

The Black Box Society book was a source of inspiration for this article (among others). For the last 14 years I have been conducting research and then practicising consultancy on software quality matters. I was merely trying to find answers to questions like: What defines good software? How can we measure it? How can we make […]

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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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The most valuable tip towards writing highly legible code

As programmers/coders we all have to revisit/review/debug our own code as well as others’. Some times the code can be as large as thousands of LoC (=Lines of Code)! Large projects have a large overhead on understanding, before someone is able to add new functionality or fix a bug! Even my own projects seem somewhat […]

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