A computer tool led to the creation of thousands of fake nude photos of women -- some of them underage -- without their consent that were then uploaded to the messaging app Telegram, The Washington Post reported. Sensity, a visual threat intelligence company headquartered in Amsterdam, discovered the Telegram network. There are 101,080 members in the network, and 70% of the group resides in Russia or Europe. About 104,852 images derived from pictures of more than 680,000 women were posted publicly to the app, with 70% of the photos coming from social media or private sources. A small number of victims appeared to be underage.

Besides "fake news", there's been another term which has caused many debates around it: deepfake. These seemingly realistic videos that are, in fact, manipulated have become more problematic lately, casting a shadow on the trust people have in media. Can blockchain and artificial intelligence (AI) be used to combat deepfake, to restore the public confidence back into the system? What is "deepfake", a term which combines'deep learning' and'fake'? According to Wikipedia, it's a technique for human image synthesis based on AI.

While AI can be used to make deepfakes, it can also be used to detect them, Brookings' Villasenor wrote in February. With the technology becoming accessible to any computer user, more and more researchers are focusing on deepfake detection and looking for a way of regulating it. Large corporations such as Facebook and Microsoft have taken initiatives to detect and remove deepfake videos. The two companies announced earlier this year that they will be collaborating with top universities across the U.S. to create a large database of fake videos for research, according to Reuters. "Presently, there are slight visual aspects that are off if you look closer, anything from the ears or eyes not matching to fuzzy borders of the face or too smooth skin to lighting and shadows," said Singer from New America.

We are crossing over into an era where we have to be skeptical of what we see on video,

Drivers over the next decade will increasingly realize that vehicles won't need them as much as they once did. Sensors and software are taking control, and they'll eventually make all driving decisions. Allowing technology to take the wheel will make ground transportation safer, proponents of autonomous vehicles say. But when roads contain both software-led and driver-controlled vehicles, some are bound to collide. The scenario raises an important question: How will we know who's responsible?