Deepfakes - or fake content made using AI and machine learning, is soon going to become one of the biggest challenges for fact checkers and internet users.
In a digital era where artificial intelligence (AI) and machine learning are reshaping reality, deepfakes emerge as a formidable challenge for fact-checkers and internet users alike. These AI-generated fakes are so meticulously crafted that they often escape the discerning eye, blurring the lines between truth and fabrication. In this episode, we delve into the world of deepfakes, discussing potential solutions to combat this AI-generated fakery.
What Are Deepfakes?
Deepfakes are fake videos or images created using smart computer programs. They look very real, making it hard to know if what you're seeing is true or not. This is a big worry because it can lead to people believing false things.
Talking to Prasanto Roy About Deepfakes
In this episode, we speak to Prasanto Roy, a Delhi-based Tech and Media analyst, to explore the possible effects of introduction of deepfake in a society infested with fake news. He tells us about how deepfakes can make the problem of fake news even worse. He explains why we should be careful about what we see and believe online.
How Can We Spot and Stop Deepfakes?
Stopping deepfakes isn't easy, but there are ways to do it. Prasanto Roy suggests using new technology to find deepfakes, teaching people how to spot them, and having strong rules against making them. It's also important for everyone to think carefully about what they see online and question if it might be fake.
Read our other stories on Deepfake
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