VentureBeat: Pymetrics open-sources Audit AI, an algorithm bias detection tool. “AI startup Pymetrics today announced it has open-sourced its tool for detecting bias in algorithms. Available for download on GitHub, Audit AI is designed to determine whether a specific statistic or trait fed into an algorithm is being favored or disadvantaged at a statistically significant, systematic rate, leading to adverse impact on people underrepresented in the data set.”
BBC News: YouTube stars’ fury over algorithm tests. “Some of YouTube’s most popular stars have criticised the website for ‘experimenting’ with how their videos are delivered to their fans. Unannounced, YouTube started testing an algorithm that changed the order videos appeared in users’ subscription feeds. The experiment came to light when some users complained on social media.” DO NOT WANT.
Economic Times: Microsoft building tool to spot bias in artificial intelligence algorithms. “After Facebook announced its own tool to detect bias in an algorithm earlier this month, a new report suggests that Microsoft is also building a tool to automate the identification of bias in a range of different Artificial Intelligence (AI) algorithms.”
TechCrunch: Are algorithms hacking our thoughts? . “As Facebook shapes our access to information, Twitter dictates public opinion, and Tinder influences our dating decisions, the algorithms we’ve developed to help us navigate choice are now actively driving every aspect of our lives. But as we increasingly rely on them for everything from how we seek out news to how we relate to the people around us, have we automated the way we behave? Is human thinking beginning to mimic algorithmic processes? And is the Cambridge Analytica debacle a warning sign of what’s to come–and of happens when algorithms hack into our collective thoughts?”
MIT Technology Review: A new company audits algorithms to see how biased they are. “Mathematician Cathy O’Neil is offering businesses a chance to test their algorithms for fairness.”
World Wide Web Foundation: How Facebook manages your information diet: Argentina case study. “As more people get online, we are seeing the construction and consolidation of the digital public square. Increasingly, as people spend more time online, this digital public square is becoming where people define and redefine their identities, civic discussions take place, and political organisation leads to tangible shifts in power. As with physical public squares, the architecture and rules that govern the space will determine the power dynamics that will shape our society. With the power to decide what we see and what we don’t, private companies and their algorithms have a tremendous influence over public discourse and the shape of the digital public square. Focusing on Facebook, our new research seeks to better understand the algorithms that manage our daily news diets and what we can do to make sure they work in our best interests.”
Santa Fe Institute: New online class offers tools for tackling fundamental questions. “For more than a century, scientists have been using probability and statistics to measure the natural world. They want to make sense of data and find meaningful signals in the noise. But in the last few years, classical statistics have started to seem a little threadbare. Researchers now have access to large datasets, which are driving new insights in disciplines ranging from biology to ecology to economics…. The data have changed. Maybe it’s time our data analysis tools did, too. That’s one of the core ideas behind ‘Algorithmic Information Dynamics,’ a new online course offered through SFI’s online education portal, Complexity Explorer.” The course is not free, but it only costs $50 and that includes a textbook.