【Technology English-15】Deepfakes: Real or Fake? (換臉:真還是假)

Deepfakes: Is This Video Even Real? Hello, today I'm going to be talking to you about a new technology that's affecting famous people. - Remember when Obama called Trump a dipshit? -"Complete dipshit." Or the time Kim Kardashian rapped, "Because I'm always half-naked"? Or when Arnold Schwarzenegger impersonated himself? "Get out of there! There's a bomb in there! Get out!" Deepfake. Deepfake. Deepfake. You gotta be kidding! This is a deepfake too.
I'm not Adele. But I am an expert in online manipulation. So deepfakes is a term that is used to describe video or audio files that have been created using artificial intelligence. My favorite is probably Lisa Vanderpump. It started as a very basic face-swapping technology. And now it's turned into film-level CGI. There's been this huge explosion of, "Oh my goodness, we can't trust anything." Yes, deepfakes are eerily dystopian. And they're only going to get more realistic and cheaper to make. But the panic around them is overblown. In fact, the alarmist hype is possibly more dangerous than the technology itself. Let me break this down.
First, what everyone is freaking out about is actually not new. It's a much older phenomenon that I like to call the weaponization of context or shallow fakes with Photoshop and video editing software. "There are so many needs . . ." How about the time Nancy Pelosi appeared to be drunk while giving a speech? "But you never know." "with this president of the United States." Turns out that video was just slowed down to 75%. "It was very, very strange." You can have a really simplistic piece of misleading content that can do huge damage.
For example, in the lead-up to the midterms, we saw lots of imagery around this caravan of people who were moving toward the U.S. This photo was shared with captions demonizing the so-called migrant caravan at the U.S.-Mexico border in 2018. But a reverse image search showed it was actually Pakistani refugees in Greece. You don't need deepfakes' A.I. technology to manipulate emotions or to spread misinformation. This brings me to my second point. What we should be really worried about is the liar's dividend. The lies and actions people will get away with by exploiting widespread skepticism to their own advantage.
So, remember the "Access Hollywood" tape that emerged a few weeks before the 2016 election? "When you're a star, they let you do it." "You can do anything." Around that time, Trump apologized, but then more recently he's actually said, I'm not sure if I actually said that. When anything can be fake, it becomes much easier for the guilty to dismiss the truth as fake. What really keeps me awake at night is less the technology. It's how we as a society respond to the idea that we can't trust what we see or what we hear. So if we are fearmongering, if we are hyperbolic, if we are waving our hands in the air, that itself can be part of the problem.
You can see where this road leads. As public trust in institutions like the media, education, and elections dwindles, then democracy itself becomes unsustainable. The way that we respond to this serious issue is critical. Partly this is the platforms thinking very seriously about what they do with this type of content, and how they label this kind of content. Partly is the public recognizing their own responsibility? And if you don't know 100%, hand on heart, "This is true," please don't share, because it's not worth the risk. References (optional) What filters are on phones today? What do you think of scams, especially identity theft? Fake news has been around for many years, but with the explosion of the internet and social media, it is getting harder and harder to know what can and can’t be believed.
What are the different types of fake news? Satire – made-up stories that aren’t meant to be taken seriously, written to joke about the news or famous people Clickbait – eye-catching but misleading headlines, designed to get people to click on links to make money or views for a website Propaganda – false facts that are written to promote a political agenda or a set of ideas Mistakes – sometimes accidents can happen, but a trusted source will always correct errors in their stories and say when they’ve got things wrong.
Different types of false facts you find online can also be described as… Disinformation – fake or misleading stories created and shared deliberately, often by a writer who might have a financial or political motive, e.g. propaganda Misinformation – this also means fake or misleading stories, but in this case, the stories may not have been deliberately created or shared with the intention to mislead. Deepfakes generated by AI tools. 13 Best Deepfake AI Image Generator Free Tools in 2024 Reface Miniapps Vidnoz Artguru Wondershare VirtuLook Plugger Face Swapper DeepFaceLive Pixble AnimeGenius Deepfaker Deepfakes Web Deepswap
The AI deepfake apocalypse is here. These are the ideas for fighting it. Discussion Questions (Deepfakes) I. Understanding Deepfakes 1. What are deepfakes? 2. How are deepfakes created? 3. Can you name some tools or software used to make deepfakes? 4. Why do people create deepfakes? 5. What was your first reaction when you saw a deepfake video? II. The Impact of Deepfakes 6. How can deepfakes be harmful? 7. Can deepfakes be used for good purposes? If so, how? 8. Do you think deepfakes can affect how we trust what we see online? 9. How do deepfakes impact celebrities and public figures? 10. What role do social media platforms play in the spread of deepfakes? III. Ethics and Legal Issues 11. Is it ethical to create and share deepfakes? 12. Should there be laws against creating harmful deepfakes? 13. How can victims of deepfakes protect themselves? 14. Can deepfakes violate someone’s privacy? How? 15. What ethical guidelines should be followed when creating deepfakes? IV. Detecting and Preventing Deepfakes 16. How can you tell if a video is a deepfake? 17. Are there tools available to detect deepfakes? 18. What measures are being taken to prevent the spread of deepfakes? 19. How can technology companies help in the fight against deepfakes? 20. What role do individuals play in preventing the spread of deepfakes? V. Deepfakes in Entertainment and Media 21. How are deepfakes used in movies and television? 22. Can deepfakes change the way we make and watch films? 23. What are the potential benefits of using deepfakes in entertainment? 24. Are there any risks in using deepfakes for creating content? 25. How do audiences feel about deepfakes in entertainment? VI. Deepfakes in Politics and Society 26. How can deepfakes influence political campaigns? 27. What are the dangers of deepfakes in politics? 28. Can deepfakes be used to manipulate public opinion? 29. How should governments respond to the threat of deepfakes? 30. What can citizens do to protect themselves from misinformation caused by deepfakes? VII. The Future of Deepfakes 31. How might deepfakes evolve in the future? 32. Can we ever completely stop the creation of deepfakes? 33. What new technologies could emerge from deepfake technology? 34. How can we prepare for the future impact of deepfakes? 35. Do you think deepfakes will become more realistic over time? VIII. Education and Awareness 36. How important is it to educate people about deepfakes? 37. What resources are available for learning about deepfakes? 38. How can schools and universities help in spreading awareness? 39. What role do parents play in educating their children about deepfakes? 40. How can awareness campaigns help prevent the negative impacts of deepfakes? IX. Personal Opinions on Deepfakes 41. Do you think deepfakes are more harmful or beneficial to society? 42. Would you ever create a deepfake? Why or why not? 43. How do you feel about the future of digital content creation with deepfakes? 44. What is the most surprising thing you have learned about deepfakes? 45. How would you react if you were the subject of a deepfake? X. Deepfakes and Digital Identity 46. How do deepfakes challenge the concept of digital identity? 47. What measures can individuals take to protect their digital identity? 48. How can deepfakes affect one’s reputation online? 49. What is the role of digital literacy in combating deepfake-related issues? 50. How can we ensure the authenticity of digital content? XI. Global Perspectives on Deepfakes 51. How do different countries view and regulate deepfakes? 52. Can international cooperation help combat the spread of deepfakes? 53. How do cultural differences affect perceptions of deepfakes? 54. What global challenges do deepfakes pose? 55. How can global communities work together to address deepfake issues? XII. Deepfakes and Artificial Intelligence 56. How does artificial intelligence contribute to the creation of deepfakes? 57. What are the ethical considerations of using AI for deepfakes? 58. How can AI be used to combat deepfakes? 59. What is the relationship between deepfakes and machine learning? 60. How will advancements in AI affect the future of deepfakes ?