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Positive Impact of Deepfake Technology in Science

Deepfakes aren’t always dangerous: there are numerous siuations, in which they can provide critical help.

Can Deepfakes Have Positive Applications?

Comparison between authentic and synthesized of prostate tissue

There is a cornucopia of ways to use deepfake technology positively. It is estimated that at least 5 major areas can benefit from the help of generative algorithms:

  • Medicine.
  • Social media.
  • Brand marketing.
  • Arts and entertainment.
  • History and perosnal/family archives.

Generative systems are a part of the AI-assitence paradigm that sees artificial intelligence as a helpful tool rather than a threat.

Use of Deepfakes in Medicine

Generative Adversarial Images can be used to create highly realistic medical data, such as X-ray images or MRI scans, to train on them other AI models designed to diagnose abnormalities: tumors, swellings, aneurysms, and so on.

In prosthetics, GenAI can be helpful in modelling artificial limbs — a task that it can achieve faster than a trained specialist, although the final result may require finishing touches by a human expert. And people suffering from aphoenia — terminal loss of voice — can replicate their initial timbre with the voice-cloning technology added to the electrolarynx device.

Deepfakes and VR in Neuroscience

Virtual reality (VR) can be used in neuroscience for exploring/treating a variety of disorders thanks to its feature called embodied simulations. They mirror a brain function, which serves to make predictions of how a patient’s body and brain will react to certain stimuli. VR can model such situations, while GenAI reduces the cost of the technology.

Psychology and Therapeutic Implementation of Deepfakes

It is assumed that GenAI can be a tool of psychological assistance/consolation for people in stressful situations. For instance, it can help medical students adapt to the future work environment by introducing simulated case studies.

Patients with Alzheimer can be treated with the deepfake-powered “youthification”. In other words, they will be introduced to the younger faces of their close ones — through AI-processed videos and photos — and this can, in turn, help their memory recover.

Grief management is another area where GenAI can relieve people who have a hard time accepting loss of family members and friends. Face recreation and voice cloning can “revive”a deceased person, however this practice can trigger unhealthy behavior when an individual gets trapped inside a delusion, refusing to return to the real world. 

The Use of Synthetic Data in Medicine

Images of normal and Covid-19 damaged lungs produced by AI

Synthetic data in medical diagnostics allows to cut financial and time costs, as they can replace similar expert-annotated data. Besides, this type of datasets can be hard to procure due to privacy rules or novelty of an emerging disease that can be hardly studied.

A 2021 research showed that artificial chest scans help detection models recognize scathing damage caused by Covid-19 more effcetively. Another case shows that histologic images can be created at a minimal cost with the help of the markup of semantic labels.

Deepfakes in Economics and Business

GenAI is widely used in e-commerce. It allows creating promotional media — videos, footage, posters, narrative audios — at a reduced cost and in less time. Customers are enticed to make more purchases as AI allows them to try makeup, hair dye, clothes, or footwear digitally before ordering a product (viartual mannequin approach). A variety of products can be personalied with the GenAI: for example, a navigation system can provide voices of game characters on subscription, and so on.

Positive Impact of Deepfakes in Politics and Government

GenAI technology can break the language barrier due to its ability to almost synchronically translate speech into various languages. In the long run, this may help unify diverse multilingual communitives both inside a single country or internationally.

Another beneficial applitaion would be actually using AI to help combat nefarious deepfakes: people can be taught to distinguish fake and real media, which can decrease the negative impact of deepfakes deliberately created to spread disinformation.

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