Global Investigative Journalism Network (https://archive.gijn.org/tag/algorithm-bias/)
In a panel discussion at the IRE23 Conference, experts shared tips on how reporters can identify and investigate algorithmic harm and AI bias, and hold the human masters of these systems accountable.
GIJN associate editor Laura Dixon and GIJN Francophone Africa editor Maxime Domegni round up seven key takeaways from the 2023 Centre for Investigative Journalism’s 2023 summer conference in London.
In this week’s Top 10 in Data Journalism, GIJN features a look at racial and gender bias in generative AI, how targeted advertising labels consumers, remote work trends post-pandemic, and the nascent Korean space industry.
At a recent GIJN online workshop, open source research expert Henk van Ess offered key tips and techniques for optimizing the use of Google search in your investigations.
Gearing up for Halloween? You’ll want to refer to our NodeXL #ddj mapping from October 19 to 25. We found FiveThirtyEight’s ultimate Halloween candy ranking from the archives to please the palates of finicky trick-or-treaters. This edition also includes The Economist’s mathematical model to determine whether Formula 1 racing success depends on its driver or the car engineer; The Globe and Mail examines bias in Canada’s prison system; and El Pais looks into how to reduce the probability of COVID-19 transmissions indoors.