Figuring out the reasons why your ML model might be consistently less accurate in certain classes than others, might help you increase not only its total accuracy but also its adversarial robustness. Machine Learning (ML) models and especially the Deep Learning (DL) ones can achieve impressive results, especially on unstructured…

More than 75% of reported security incidents are caused by software mistakes, such as information leakage, execution of unauthorised transactions or service unavailability. These can lead to significant business damage both in reputational as well as in financial terms (by an order of magnitude of millions of dollars). Organisations and…

AI Algorithms Artificial Intelligence is impacting our lives for good, so we need to take a closer look In his book “21 lessons for the 21st Century”, historian Yuval Harari notes that “Already today, ‘truth’ is defined by the top results of the Google search.”. In a different vein, an academic, Professor Nicholas Diakopoulos suggests in his research work that authority is becoming increasingly algorithmic. Last…

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 recruiting tool that…

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. …

Human rights defenders across the world are fighting facial recognition surveillance Researchers Find Racial Bias in Hospital Algorithm Viral Tweet About Apple Card Leads to Goldman Sachs Probe Google using dubious tactics to target people with ‘darker skin’ in facial recognition project: sources It’s time we faced up to AI’s…

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. …

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…

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. …