“Deepfake” creators are making disturbingly realistic, computer-generated videos with photos taken from the Web, and ordinary women are suffering the damage.

How fake-porn opponents are fighting back: The best hope for fighting computer-generated fake-porn videos might come from a surprising source: the artificial intelligence software itself.

Technical experts and online trackers say they are developing tools that could automatically spot these “deepfakes” by using the software’s skills against it, deploying image-recognition algorithms that could help detect the ways their imagery bends belief.

A political organization endorsed by former U.S. Vice President Joe Biden is concerned so-called “deepfakes” could be a threat to democracy.

It developed an online quiz to see whether people found an AI-generated Trump impersonator more convincing than actors and comedians.

The next step for the foundation is building deepfake-detection software, rolling it out to journalists, and educating the public about the technology.

The rise of authoritarianism has coincided with the proliferation of “deepfakes” — realistic videos created with artificial intelligence software. This has frightening implications for journalism.

Note: discussion of techniques currently used by journalists

The work of the fact-checker is perpetually evolving. As tactics of spreading disinformation are exposed and countered, perpetrators continuously innovate new ways of distributing falsehoods and distorted narratives. Fact-checkers must contend with finding efficient ways of verifying information in the present, while actively preparing for the information environment of the future.

In this vein, “deepfakes” — the use of recent breakthroughs in artificial intelligence to create believable fakes in images, audio, and video — have raised concerns throughout the past year.

Artificial intelligence has been used to created hyper-realistic portrait photographs of men, women, and children of different races who never existed, prompting one author to declare the “end of photography as evidence.”

Award-winning British artist Gillian Wearing created a deep fake video of herself as part of her exhibition at the Cincinnati art Museum.

Experts fear that in the wrong hands, deepfakes could become the next frontier in fake news – and spark very real consequences.

Generative adversarial networks, or GANs, are fueling creativity—and controversy. Here’s how they work. By Karen Hao