Football seems like a simple game: two teams try to put the ball in the opponent’s goal. The ball cannot be controlled with the arms and should stay within the limits of the pitch.
This text emphasizes the importance of transparent and accessible explanations in algorithmic decision-making processes. This approach promotes ethical AI and compliance with current and future regulatory requirements. By using language models like OpenAi’s ChatGPT to
In the buildup to the Oscars, all fans and critics have their hunches about who’ll come out on top. But can we move beyond guesswork? Is it possible to predict the winners more reliably
In the third of four articles about fairness and explainable AI, Sinem Unal describes some methods companies can use to reduce the bias in the ML models.
In the second of four articles about fairness in AI, Paolo Fantinel says understanding ML-driven choices can help companies and their customers. More and
Machine learning (ML) is playing an ever-bigger role in everyday life by helping us make decisions – from choosing which movies to watch on Netflix or which news to read on Facebook to potentially
Today AI is being used to predict all kinds of events of public interest, such as the outcome of elections, college basketball games and even things like who would die in Game of Thrones.
Twitter bots and fake social media accounts made the headlines back in 2016 when they were proven to have shifted the US election results. This year, a new group of presidential candidates are fighting
As a response to COVID-19 pandemic, Udacity, the popular tech learning platform is offering one month free on their for various data-centric nanodegrees, and this includes their popular data engineering one as well. Heeren