Here’s how deepfake technology can actually be a good thing.
The number of deepfake videos in the public domain has increased dramatically over the past year due to recent advancements in the technology. With face-swapping applications like Zao, individuals can quickly create deepfake videos by exchanging their faces with celebrities.
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These developments are the outcome of deep generative modeling, a novel approach that enables us to produce facsimiles of genuine faces and produce fresh, remarkably lifelike representations of fictional individuals.
It is understandable that worries about identification and privacy have been aroused by this new technology. Would it be feasible to duplicate even more aspects of our unique digital identities, such as our voice, or perhaps construct a real bodily double if our faces could be produced by an algorithm?
It is true that technology has quickly progressed from face-only replication to full body replication. Technology businesses are acting because they are concerned: Google made 3,000 deepfake movies available in an effort to help academics create strategies for thwarting harmful material and making it easier to spot it.
We must remember that artificial intelligence (AI) has both positive and negative applications, even while concerns about the effects of deepfake technology are legitimately raised. Global leaders are focused on creating and utilizing technologies that really help people and the environment, as well as involving everyone in their advancement. When algorithms are created in a vacuum, wider societal issues cannot be taken into account for their practical applications.
For instance, the creation of deep generative models opens up new opportunities in the field of healthcare, where patient privacy throughout treatment and continuing research is a legitimate issue. It would be unnecessary to share the data of actual patients if a single hospital with sufficient processing capacity could generate a completely fictional community of virtual patients using vast volumes of real, digital patient data.
We also hope that new and improved approaches to the diagnosis and treatment of disease in both people and groups will result from advancements in AI. With the use of technology, researchers may be able to produce real-world data to test and develop novel approaches to illness diagnosis and monitoring without running the danger of violating actual patient privacy.
These healthcare-related instances demonstrate how AI is an enabling technology that is neither inherently good nor bad. Such technology is contingent upon the environment in which it is developed and employed.
Here, universities are vitally important. With an emphasis on solving problems in the real world, UK universities are at the forefront of innovation and research worldwide. We just established the UCL Centre for Artificial Intelligence, which will lead the way in AI research worldwide. In order to develop new algorithms that will promote research, innovation, and society, our academics are collaborating with a wide spectrum of specialists and institutions.
AI should not replace human endeavor, but rather enhance it. To guarantee that we build technology that benefits society, we need to create the proper infrastructure and links between various specialists, as well as integrate checks and balances that hinder or prohibit inappropriate use of technology.
Safety Advice for the Face Swap Era
People should take precautions to protect themselves and be aware of the possible hazards associated with face swapping technology as it becomes more widely used. In the era of face swapping, remember these safety precautions:
When posting private images and videos online, use caution. Think about how your photos could be used improperly.
Review your social media privacy settings frequently to manage who may see and share your information.
Make use of trustworthy face swapping apps with integrated privacy and security safeguards.
Be wary of unfamiliar or dubious content, particularly if it makes use of deepfake or face-swapping technologies.
Learn about deepfakes and how to identify phony material. Keep an eye out for any indications of film alteration or contradictions.
Inform social media companies or the relevant authorities about any instances of mishandled or fraudulent content.
Keep up with the most recent advancements in face swapping technology, and be ready to adjust to any changes in security protocols.
To safeguard your personal information, think about implementing additional security measures like two-factor authentication.
People can minimize the hazards connected with face swap technology usage while still reaping the advantages by adhering to these suggestions.
