Less than two months before the US Presidential Election, Microsoft announced the launch of two different deepfake detection systems. As the restriction of physical contact in the pandemic and impersonation with deepfake content increased the risk of cyber fraud, global financial institutions accelerated their investments in new digital authentication technology.
Are deepfake technologies a start in the digital transformation process that makes us accustomed to human-looking artificial intelligence online? If the Neuralink project succeeds in integrating ai with the human brain, would human-looking robots become able to take place and play a role in the emotional economy dimension of business life? Can human beings adapt to the digital evolution theory to protect and improve their economic level?
Projects such as Neuralink, which aim to strengthen the interaction between the human brain and AI, will enable “Online human resource with a digital body equipped with AI of which lack of emotional intelligence is eliminated” when deepfake technologies are integrated. Online companies will look for a way out of the economic crisis caused by the pandemic in this “non-human” human resource.
Scientists train models with the help of special algorithms through artificial neural networks and obtain hyper-realistic molecule designs in order to rapidly develop effective molecules for the treatment of New Type Coronavirus. Molecular development studies carried out with deepfake designs will not only contribute to the scientific struggle with Covid-19, but will also play a role in the decoding of human microbiological codes, diagnosis and treatment of many other diseases.
In the period of the Covid-19 Pandemic, it is emphasized that social isolation harms the immunity system. Online interaction is effective to strengthen immunity, but social media is not enough for normal perception of life. Now is the time for the cinema, TV series, advertising and entertainment industry to use the deepfakes wildcard to improve social immunity.
It should never be forgotten that in the eternal reality of the heavenly religions, creator of all creatures is one. Here, AI-oriented algorithms and robotic technologies transform this single and unchangeable reality into a more flexible perception with digital illusion. It reveals a person who has passed away fictionally in digital life, at first with his/her voice and gestures. Perhaps as deep learning algorithms improve, fiction will no longer be needed after a while.
We will try to question the newest and ironic legitimacy trial of deepfakes: Do deepfakes, which are produced with the help of artificial intelligence (AI) in digital audio, text, and video formats and is the common name for all lies, fraud, forgery, manipulation, and disinformation in the online world, reveal the hidden truths?
Facebook’s CTO, Mike Schroepfer, explains that Facebook will keep detection technology secret to avoid reverse engineering. However, Facebook does not show the same sensitivity for the most successful deepfake detection algorithms listed in DFDC. Schroepfer stressed that they will keep their algorithms confidential and admitted that they will offer reverse engineering opportunities by publishing them with open source code for algorithms developed in DFDC.
Those who develop deepfake detection models are expected to be faster than those who developed deepfake tools to gain an edge over the algorithm war before it is too late. For this, don’t they deserve some time and positive discrimination? Isn’t it necessary to tidy up the open-source platforms that provide unconditional and unregulated ammunition and speed up those who develop deepfake tools and produce deepfakes with the help of these that are not known by whom?