{Radio} Deepfakes – set to become bigger than Fake News
Deep learning and Fake collide together to form the newest technology issue on the block Deepfakes
The ability to digitally wipe someone’s face off and replace it with someone else’s and for that new face and or voice to look 100% real is causing a lot of potential angst.
The technology’s been talked about, written about and used as movie plots for decades, but now is coming to a computer near you and over the next few years it will be increasingly difficult to tell if that’s the real you making those comments, or the fake you.
As usual these new age tech possibilities come to our attention in negative ways including celebrities face and voices being superimposed over porn actors face’s and body’s, or in financial scams where a high profile reputable person is seen spruiking the merits of something not so scrupulous.
Last week we saw Sir Richard Attenborough lending his voice, unknowingly to read articles from Reddit and a college kid spending a few hours only to program GPT-3 to write a tonne of posts, that quickly gained eyeballs, subscriptions and comments.
In these weeks segments on MMM Breakfast with Anthong Tilli and Hong Kong Radio 3’s Phil Whelan, we explored deepafeks, what they are, how thewy’re cretaed, good and bad usage examples and why its so important we know this technology exists.
Listen now to MMM Breakfast (5 minutes 42 seonds)
and to Hong Kong Radio 3 (19 minutes 38 seconds)
It’s getting harder to tell reality from fiction, fake from real and with Deepfakes it’s almost impossible.
When signals like Deepfakes set to become bigger than Fake News emerge, organisations that engage early have the advantage of choosing their response rather than reacting to events. That gap between those who prepared and those who did not is where competitive positioning is actually made or lost.
The most important question is not whether Deepfakes set to become bigger than Fake News will matter, but how quickly it will matter in your specific context. Leaders benefit most from mapping the ripple effects early — not just the direct impact but the second and third-order consequences that arrive later and hit harder. That is the practical work of foresight.
