A study finds racial disparities in police officers’ use of language

A systematic analysis of police body camera footage shows they tend to speak less respectfully to black residents than to white residents.

 

https://engineering.stanford.edu/news/study-finds-racial-disparities-police-officers-use-language?utm_source=facebook&utm_medium=social&utm_content=racialdisparities&utm_campaign=stripes

When machine learning save lives

 

Walsh and his colleagues have created machine-learning algorithms that predict, with unnerving accuracy, the likelihood that a patient will attempt suicide. In trials, results have been 80-90% accurate when predicting whether someone will attempt suicide within the next two years, and 92% accurate in predicting whether someone will attempt suicide within the next week.

The prediction is based on data that’s widely available from all hospital admissions, including age, gender, zip codes, medications, and prior diagnoses.

 

 

https://qz.com/1001968/artificial-intelligence-can-now-predict-suicide-with-remarkable-accuracy/

A quick description of the algorithms that hides behind probabilistic programming

A nicely compiled list of algorithms that hides behind probabilistic programming for those who are curious to look behind the curtain: Bayesian Inference and Hamiltonian Monte Carlo and the No U-Turn Sampler and others.

http://blog.fastforwardlabs.com/2017/01/30/the-algorithms-behind-probabilistic-programming.html

Inspecting Algorithms for Bias – MIT Technology Review

 

https://www.technologyreview.com/s/607955/inspecting-algorithms-for-bias/

Real AI, fake AI

 

Box 1: “Look, this is our new robot full of AI” “You won’t believe how smart it is”

Box 2: “Really? There is AI inside? Like neuronal approach something?” “Trust me it has  lots of complex algorithms under its belt”

Box 3: “Ok, let’s see what it has inside its belly” “Heee”

Box 4: “I knew it, only IFs, hundreds of IFs…” “That’s not AI”.

http://www.commitstrip.com/fr/2017/06/07/ai-inside/?