jm + discrimination   3

Artificial intelligence is ripe for abuse, tech researcher warns: 'a fascist's dream' | Technology | The Guardian
“We should always be suspicious when machine learning systems are described as free from bias if it’s been trained on human-generated data,” Crawford said. “Our biases are built into that training data.”

In the Chinese research it turned out that the faces of criminals were more unusual than those of law-abiding citizens. “People who had dissimilar faces were more likely to be seen as untrustworthy by police and judges. That’s encoding bias,” Crawford said. “This would be a terrifying system for an autocrat to get his hand on.” [...]

With AI this type of discrimination can be masked in a black box of algorithms, as appears to be the case with a company called Faceception, for instance, a firm that promises to profile people’s personalities based on their faces. In its own marketing material, the company suggests that Middle Eastern-looking people with beards are “terrorists”, while white looking women with trendy haircuts are “brand promoters”.
bias  ai  racism  politics  big-data  technology  fascism  crime  algorithms  faceception  discrimination  computer-says-no 
11 days ago by jm
Banks biased against black fraud victims
We raised the issue of discrimination in 2011 with one of the banks and with the Commission for Racial Equality, but as no-one was keeping records, nothing could be proved, until today. How can this discrimination happen? Well, UK rules give banks a lot of discretion to decide whether to refund a victim, and the first responders often don’t know the full story. If your HSBC card was compromised by a skimmer on a Tesco ATM, there’s no guarantee that Tesco will have told anyone (unlike in America, where the law forces Tesco to tell you). And the fraud pattern might be something entirely new. So bank staff end up making judgement calls like “Is this customer telling the truth?” and “How much is their business worth to us?” This in turn sets the stage for biases and prejudices to kick in, however subconsciously. Add management pressure to cut costs, sometimes even bonuses for cutting them, and here we are.
discrimination  racism  fraud  uk  banking  skimming  security  fca 
10 weeks ago by jm
When It Comes to Age Bias, Tech Companies Don’t Even Bother to Lie
HubSpot’s CEO and co-founder, Brian Halligan, explained to the New York Times that this age imbalance was not something he wanted to remedy, but in fact something he had actively cultivated. HubSpot was “trying to build a culture specifically to attract and retain Gen Y’ers,” because, “in the tech world, gray hair and experience are really overrated,” Halligan said. 

I gasped when I read that. Could anyone really believe this? Even if you did believe this, what CEO would be foolish enough to say it out loud? It was akin to claiming that you prefer to hire Christians, or heterosexuals, or white people. I assumed an uproar would follow. As it turned out, nobody at HubSpot saw this as a problem. Halligan didn’t apologize for his comments or try to walk them back. The lesson I learned is that when it comes to race and gender bias, the people running Silicon Valley at least pay lip service to wanting to do better — but with age discrimination they don’t even bother to lie. 
hiring  startups  tech  ageism  age  hubspot  gen-y  discrimination 
april 2016 by jm

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