Deep fakes surrounding the Israel-Palestine conflict intensify

The use of AI to create convincing deep fakes has become a problem in the Israel-Gaza conflict. Fake images, including those involving children, are being shared online and are difficult to detect. This is not limited to the Gaza conflict and has also occurred in other conflicts. Tech firms are working on developing filters to detect deep fakes, but it is challenging. Fact-checking services are available but can be unreliable and slow. With crucial elections approaching, the impact of deep fakes is a growing concern.

 Deep fakes surrounding the Israel-Palestine conflict intensify

Deep fakes surrounding the Israel-Palestine conflict intensify

The Israel-Gaza conflict has become a backdrop for the increasing use of AI in creating convincing deep fakes. This has become a problem for Israel, Gaza, and external observers.

Among the various images from Gaza, some are particularly shocking. These images, such as “bloodied, abandoned infants,” gained notoriety online.

One image of an incinerated baby was shared by influencers like Ben Shapiro, reaching millions of people before it was revealed to be AI-generated.

Many of these fake images show subtle signs of digital manipulation, but detecting them in the heat of the moment is challenging.

Why is this a concern?

Imran Ahmed, CEO of the Center for Countering Digital Hate, explains that the disinformation is designed to make people engage with it. This can spread false narratives and intensify emotions.

Jean-Claude Goldenstein, CEO of CREOpoint, warns that the problem will likely get worse before it gets better. His company has compiled a database of viral deep fakes from the conflict, showing AI’s growing role in fabricating realities.

Deep fakes are not limited to the Israel-Gaza conflict. Similar AI-generated content surfaced during Russia’s invasion of Ukraine in 2022 and in fake images of politicians, like Trump hugging Fauci.

How are tech firms responding?

Tech firms are developing AI filters to detect deep fakes, authenticate images, and analyze text for misinformation. However, achieving this technically is challenging.

Fact-checking services have also emerged to highlight dubious content, but their applications are not foolproof and can be slow.

With crucial elections on the horizon, deep fakes are causing intense paranoia, and their impacts have not yet reached their peak.

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