Dealing With Deep Fakes
Context:
A deep fake is a piece of work created by a machine using deep learning that contains misleading information. Because deep fakes seek to deceive us into believing something is true by distorting reality, it is beneficial to maintain the definition of deep fakes in front of us.
Points to Ponder:
- When deep learning algorithms are used to create media (such as photographs or videos), deep fakes are produced that contain inaccurate or deceptive information.
- Deepfakes can provide more convincing and realistic outcomes than conventional photo editing methods like Photoshop.
- Deepfakes have been used for bad things including making fake movies of famous people, breaking into facial recognition software, and producing “revenge porn.”
- By passing off the modified video as genuine, deep fakes can corrupt reality and convince people to believe something they shouldn’t.
- Deepfakes pose questions regarding our capacity to distinguish between authentic and false information, particularly given the development of chatbots that closely resemble human intelligence.
- Deep learning technology does, however, have some advantageous uses, such as improving creativity across multiple professions and restoring voices for those with speech impairments.
- Replicating the sounds or pictures of historical individuals like Andy Warhol, Anthony Bourdain, and Tupac Shakur are examples of beneficial uses of deep learning.
- Similar to previous technology like kitchen knives or nuclear reactors, the redeemability of deep learning depends on how it is used.
- To control the usage of deep fakes, punish those who do so in bad faith, and include democratic processes in shaping the technology’s future, regulations and legislation are required.
- People should be given the basic moral right to be shielded from deepfakes’ manipulation of their voice and image.
- For people to be able to tell real content from fake, they must have scientific, digital, and public literacy.
- With the use of its already-existing surveillance network, China has imposed restrictions on deep fakes, demanding authors’ consent and the use of watermarks.
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Take a step to regulate deepfakes
