Midway through a podcast, a high-energy commercial chirps out all the advantages of using a particular learning system for languages. They are familiar: Babbel can get you conversing in just three weeks, it teaches you phrases you’ll actually use in the real world, lessons are designed to help you remember.
Predictive, data-driven software is becoming ubiquitous, and as such our reliance upon it is steadily intensifying. The locus of knowledge is becoming external to us again for the first time since the onset of humanism in the 18th century, and we increasingly prefer the forecasts of artificially intelligent systems to our own experience or intuition.
Of all the arenas in which these predictions fascinate and compel our decision-making, perhaps the most prevalent are those that see algorithms foretell the behaviors of our fellow human beings. What they prefer, what they react to, where they go, who they’ll flirt with, whether they’re likely pay back a loan, or even commit a crime.
Quite simply, we are coming to believe that machines know us better than we can know ourselves. Continue reading →
YouTheData.com is delighted to feature a guest post by John Gray, the co-founder of MentionMapp Analytics.
Love them or can’t stand them, cats and memes have clawed their way into our cultures. Undoubtedly there’s a hieroglyphic cat meme etched on a wall somewhere in the historical ruins of Egypt. Believing otherwise, is to suggest that ancient peoples were humorless. Amusement, cats and memes aren’t new cultural considerations, just like today’s misinformation problem – popularized as “fake news” – isn’t either.
As William Faulkner said: “The past is never dead. It’s not even past.” We can’t escape the history of information and communication technologies, but we can choose to blithely ignore it’s evolution and the subsequent cultural, social, and political impact. Continue reading →
We’re delighted to feature a guest post from Grainne Faller and Louise Holden of the Magna Carta For Data initiative.
The project was established in 2014 by the Insight Centre for Data Analytics – one of the largest data research centres in Europe – as a statement of its commitment to ethical data research within its labs, and the broader global movement to embed ethics in data science research and development.
A self-driving car is hurtling towards a group of people in the middle of a narrow bridge. Should it drive on, and hit the group? Or should it drive off the bridge, avoiding the group of people but almost certainly killing its passenger? Now, what about if there are three people on the bridge but five people in the car? Can you – should you – design algorithms that will change the way the car reacts depending on these situations?
This is just one of millions of ethical issues faced by researchers of artificial intelligence and big data every hour of every day around the world. Continue reading →
There’s a phrase – from where I don’t know – which says: “If you aren’t paying, you’re the product.” Never has this felt truer than in the context of social media. Particularly Facebook, with its fan-pages and features, games and gizmos, plus never-ending updates and improvements. Who is paying for this, if not you…and what are they getting in return? The answer is actually quite straightforward.
Not for the first time, Apple CEO Tim Cook has spoken out this week about how important it is for children to learn computer code. He’s not alone in believing that this “language of the future” will be critical for kids growing up right now. In a sea of unknowns one thing appears to be certain: technical understanding is a very valuable asset indeed.
It’s interesting then, that in spite of remarkable efforts to equip the adults of tomorrow with such skills, very little is being done to familiarize young adults, middle-aged parents, or retirees (with impressively long-life expectancies!) with the signature terms of the “AI Age”. This seems a like an oversight. Continue reading →
Artificial Intelligence is becoming ever more sophisticated in its deductions. This has caused many to consider its role in the governance of countries, states, cities, and towns. I believe there’s a strong case to make when it comes to its integration into politics and power. Here’s why: Continue reading →
These days we are often told what we shouldn’t be afraid of when it comes to technological innovation. Efforts to calm us come from all corners, and we can find a healthy dose of reassurance about any given advancement with a quick google.
Just this week, an excellent article by Oxford professor Luciano Floridi was recirculated on the internet. In it, Floridi argues vociferously against those “Singularitarians” who worry about robot rule, and humans being overthrown by AI in the near-ish future. At the same time, the Independent wrote in some detail to comfort us with regards to the non-threatening nature of iPhone X’s new facial recognition feature. This came after a wave of speculation about Apple’s plans to build a mass database of facial information. What’s more, we have also seen an increase in cuddly or moving descriptions of new tech, like this inspiring article which examines how VR can be used to help both deaf and hearing individuals understand the other’s experience of music.
I am not suggesting for a second that we shouldn’t be reassured. I think these articles do very important things, whether it be shooting down unsettling, dystopian predictions, or championing some of the wonderful work that is being done to improve our lived experiences with technology. But it is perhaps because of this recent proliferation of positive tech news (if we set aside the politics of tech firms and focus on the tech itself…) that I was shocked to read this article late yesterday. Not least because it reveals a bogey man that I wasn’t even vaguely aware of… Continue reading →