Researchers are improving detection algorithms to make them fairer and more accurate by incorporating greater demographic diversity, according to The Conversation. Deepfakes, synthetic media in which a person’s likeness is replaced with someone else’s without consent, are rapidly advancing. From realistic representations of celebrities in compromising situations to false statements by political leaders, technology poses a significant threat to trust and truth in digital media. As these manipulations become harder to detect, the want to develop tools to disprove them grows. Bias in Detection Algorithms Typically, deepfake detection systems rely
Did you get duped by the ‘Balenciaga Pope’? Unless you’ve been living under a rock, you’ll have seen the viral image of Pope Francis wearing a stylish white puffer coat. It has been viewed a whopping 27.5 million times on this tweet alone. For many, this won’t have been their first encounter with misinformation, but it might have been their first with AI-generated imagery. Although it looks realistic, the ‘Balenciaga Pope’ was created using a tool called Midjourney. It is one of the most popular generative AI tools available, alongside
