Deepfakes and the Future of Content Creation
What is it, how does it work and why, oh why, would you use it?
AI affects or effects?
How can you tell the difference? So many AI applications out there allow you to create what has come to be known as “Deep Fakes”. Either images or videos, sometimes it is hard to tell the difference.
Deep Fakes are exactly that – fake representations presented on the web through images and videos. The A.I. programs that allow the masses to create sometimes insincere and misleading visuals are becoming more difficult to distinguish between fact and fiction.
Concerns pinned by celebrities and “ordinary” people swarm the Internet. We all need to be able to determine what is real. Implications from politicians to divorce cases can, and will, challenge all of us to view with discernment. Avatars depicting social media influencers, as well as personal profile representations, can take us into the mindful confusion of what is actual real or fake.
In small communities, where everyone knows everyone and where gossip abounds, it has been said, “Don’t believe anything you hear and only half of what you see”. This teaching now applies to everyone – world wide – our new global, small community.
U.S. legislation is now being considered to require all A.I. generated content be labeled and identified as A.I. This is a good step forward, but implementation needs to be global to be effective.
How can you tell the difference?
There are several programs available on the Internet that can assist you in detecting whether an image is real or not. Microsoft, Intel and a new company called Decrypt (DeepIdentify.ai) continually works with software to detect deep fakes, whether it be voice-overs or image swaps. One expert has said it risks becoming quickly outdated because of the pace at which deepfake tech is advancing.
We will testing and analyzing these and other programs in the weeks and months to some, so but sure to sign up to keep up!