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Is Twitter biased against BIPOC? Maybe it’s not what you think it is.

October 2, 2020

The controversy Twitter was in the headlines recently for apparent racial bias in the photo preview of some tweets. More specifically, Twitter’s machine learning algorithm that selects which part of an image to show in a photo preview favors showing the faces of white people over black people. For example the following tweet, contains an […]

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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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