A machine learning system trained on scholarly journals could correct Wikipedia's gendered under-representation problem

Quicksilver is a machine-learning tool from AI startup Primer: it used 30,000 Wikipedia entries to create a model that allowed it to identify the characteristics that make a scientist noteworthy enough for encyclopedic inclusion; then it mined the academic search-engine Semantic Scholar to identify the 200,000 scholars in a variety of fields; now it is systematically composing draft Wikipedia entries for scholars on its list who are missing from the encyclopedia. Read the rest

Fired by an algorithm, and no one can figure out why

Ibrahim Diallo was eight months into a three year contract with a big company when its systems abruptly decided that he was fired: first it told his recruiter that he'd been let go, then it stopped accepting his pass for the parking and the turnstyles, then his logins stopped working, and at each turn, his supervisor, and that person's boss, and the HR people, were at a loss to explain or reverse the steady, automated disappearance of Ibrahim from the company. Read the rest