The EcoTech Journal

31/03/2019

Gartner identifies digital ethics and privacy as a growing concern for individuals, organizations and governments for 2019. But it wasn't the case a few years ago. Why this sudden interest in data ethics?

Feelgood, high-level data ethics principles are not fit for the purpose of regulating big tech. Applied ethics might be useful ... but stronger regulation is the preferred end goal.

26/03/2019

This article is 2-month old but offers a relevant insight on what AI can represent for a country !

A battle for AI supremacy is being fought one algorithm at a time

25/03/2019

What do our algorithms say about our society? In this talk, social scientist Safiya Umoja Noble investigates the bias revealed in search engine results and a...

25/03/2019

hey guys algorithms are good but if its biased what will happen check out this video to know more...

MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face -- because the peop...

22/03/2019

"When an expert makes a mistake, the human expert is responsible for it. The chance of both the AI-based algorithm and the expert individuals making the same mistake on the same decision is likely significantly lower than if they operated alone."

What does the future of regulation look like for AI, and how can we prepare for it?

06/03/2019

Cyberattacks, rumors, fake news: War of information

A longstanding conflict between India and Pakistan escalated Wednesday, with implications for cyberattacks between both countries.

05/03/2019

https://youtu.be/BHGYukKFnIQ

Giuseppe Ragusa is Professor of Economics of the Economics and Finance Department at LUISS Guido Carli University. He does research on econometrics, labor ec...

04/03/2019

« Everything about Automation is more complicated than you think ! »

Automation often seems like a scary new problem, but it’s neither entirely scary nor entirely new. Connect with Last Week Tonight online... Subscribe to the ...

03/03/2019

"We can’t hope to design fair algorithms without the ability to precisely demonstrate fairness mathematically."

Math isn’t prejudiced, goes the argument. But these arithmetic programs can learn bias from the data fed into them by human beings, leading to unfair treatment and discrimination.

01/03/2019

https://youtu.be/pzN4WGPC4k
Dark nets mysterious guys check this video to know more 😊

There’s a parallel Internet you may not have run across yet — accessed by a special browser and home to a freewheeling collection of sites for everything fro...