The third annual AI Now report: 10 more ways to make AI safe for human flourishing

Every year, NYU's nonprofit, critical activist group AI Now releases a report on the state of AI, with ten recommendations for making machine learning systems equitable, transparent and fail-safe (2016, 2017); this year's report just published, written by a fantastic panel, including Meredith Whittaker (previously -- one of the leaders of the successful googler uprising over the company's contract to supply AI tools to the Pentagon's drone project); Kate Crawford (previously -- one of the most incisive critics of AI); Jason Schultz (previously -- a former EFF attorney now at NYU) and many others. Read the rest

Incredibly sensible notes on software engineering, applicable to the wider world

François Chollet's "Notes to Myself on Software Engineering" is posed as reminders from Chollet to himself, but they're a really wonderful list of extremely sensible advice on how collaborative projects work, how to be a good collaborator, how to build things for other people to use, and how to collaborate with future engineers and builders who will some day want to hook things up to the thing you're making. Read the rest

An analysis of all those Internet of Things manifestos sparked by the slow-motion IoT catastrophe

The Internet of Things morphed from a ridiculous answer in search of a problem ("why do I want my fridge connected to the internet?") to a source of Black Mirror-style modern absurdities ("someone pushed a load of internet porn to my fridge") to an existential threat ("my fridge just joined a world-killing botnet"). Read the rest

Should I use an algorithm here? EFF's 5-point checklist

The Electronic Frontier Foundation's Jamie Williams and Lena Gunn have drawn up an annotated five-point list of questions to ask yourself before using a machine-learning algorithm to make predictions and guide outcomes. Read the rest