Nina

“Tech’s love affair with the myth of meritocracy is ironic for an industry so in thrall to the potential of Big Data, because this is a rare case where the data actually exists. But if in Silicon Valley meritocracy is a religion, its God is a white male Harvard dropout.”
― Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men

“This was not to be the only time Apple completely forgot about at least 50% of their users. When Apple launched their AI, Siri, she (ironically) could find prostitutes and Viagra suppliers, but not abortion providers. Siri could help you if you’d had a heart attack, but if you told her you’d been raped, she replied ‘I don’t know what you mean by ‘I was raped.’ These are basic errors that surely would have been caught by a team with enough women on it – that is, by a team without a gender data gap.”
― Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men

“But the next thing she says provides something of an explanation for how male-default thinking could be so prevalent in a world that is, after all, 50% female. ‘It’s just a feature of human psychology,’ she explains, to assume that our own experiences mirror those of human beings in general. This is a concept in social psychology that is sometimes called ‘naive realism’ and sometimes called ‘projection bias’. Essentially, people tend to assume that our own way of thinking about or doing things is typical. That it’s just normal. For white men this bias is surely magnified by a culture that reflects their experience back to them, thereby making it seem even more typical. Projection bias amplified by a form of confirmation bias, if you like. Which goes some way towards explaining why it is so common to find male bias masquerading as gender neutrality. If the majority of people in power are men – and they are – the majority of people in power just don’t see it. Male bias just looks like common sense to them. But ‘common sense’ is in fact a product of the gender data gap.”
― Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men

“If I had a pound for every time a man questioned my sanity in response to my saying anything vaguely feminist on Twitter I would be able to give up work for life.”
― Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men