"ai now institute"

AI Now's annual report: stop doing "emotion detection"; stop "socially sensitive" facial recognition; make AI research diverse and representative -- and more

Every year, the AI Now Institute (previously) publishes a deep, thoughtful, important overview of where AI research is and the ethical gaps in AI's use, and makes a list of a dozen urgent recommendations for the industry, the research community, and regulators and governments. Read the rest

Google walkout organizers say they're being retaliated against for demanding ethical standards

Meredith Whittaker (previously) and Claire Stapleton were two of the principal organizers of the mass googler walkouts over the company's coverup and rewarding of sexual assault and harassment, as well as other Google employee actions over the company's involvement in drone warfare and Chinese censorship; now, in a widely circulated letter to colleagues, they say that they have been targeted for retaliation by Google management. Read the rest

Beyond GIGO: how "predictive policing" launders racism, corruption and bias to make them seem empirical

"Predictive policing" is the idea that you can feed crime stats to a machine-learning system and it will produce a model that can predict crime. It is garbage. Read the rest

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

Ten recommendations to make AI safe for humanity

A year ago, the AI Now Institute released its inaugural report on the near-future social and economic consequences of AI, drawing on input from a diverse expert panel representing a spectrum of disciplines; now they've released a followup, with ten clear recommendations for AI implementations in the public and private sector. Read the rest

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