Facia.ai
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About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
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ABOUT US
Facia is the world's most accurate liveness & deepfake detection solution.
Facial Recognition
Face Recognition Face biometric analysis enabling face matching and face identification.
Photo ID Matching Match photos with ID documents to verify face similarity.
(1:N) Face Search Find a probe image in a large database of images to get matches.
DeepFake
Deepfake Detection New Find if you're dealing with a real or AI-generated image/video.
Detect E-Meeting Deepfakes Instantly detect deepfakes during online video conferencing meetings.
Liveness
Liveness Detection Prevent identity fraud with our fastest active and passive liveness detection.
Single Image Liveness New Detect if an image was captured from a live person or is fabricated.
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Age Verification Estimate age fast and secure through facial features analysis.
Iris Recognition All-round hardware & software solutions for iris recognition applications.
Customer Onboarding New Seamlessly and comprehensively onboard your customers.
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Industries
Retail Access loyalty benefits instantly with facial recognition, no physical cards.
Governments Ensure countrywide security with centralised face recognition services
Dating Apps Secure dating platforms by allowing real & authentic profiles only.
Event Management Secure premises and manage entry with innovative event management solutions.
iGaming Estimate age and confirm your customers are legitimate.
KYC Onboarding Prevent identity spoofing with a frictionless authentication process.
Banking & Financial Prevent financial fraud and onboard new customers with ease.
Contact Liveness Experts To evaluate your integration options.
Use Cases
Account De-Duplication (1:N) Find & eliminate duplicate accounts with our face search.
Access Control Implement identity & access management using face authorization.
Attendance System Implement an automated attendance process with face-based check-ins.
Surveillance Solutions Monitor & identify vulnerable entities via 1:N face search.
Immigration Automation Say goodbye to long queues with facial recognition immigration technology.
Detect E-Meeting Deepfakes New Instantly detect deepfakes during online video conferencing meetings.
Pay with Face Authorize payments using face instead of leak-able pins and passwords.
Facial Recognition Ticketing Enter designated venues simply using your face as the authorized ticket.
Passwordless Authentication Authenticate yourself securely without ever having to remember a password again.
Meeting Deepfake Detection
Know if the person you’re talking to is real or not.
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Blogs Our thought dumps on all things happening in facial biometrics.
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Whitepapers Detailed reports on the latest problems in facial biometrics, and solutions.
Knowledge Base Get to know the basic terms of facial biometrics industry.
Deepfake Laws Directory New Discover the legislative work being done to moderate deepfakes across the world.
Case Studies Read how we've enhanced security for businesses using face biometrics.
Press Release Most important updates about our activities, our people, and our solution.
FAQs Everything there is to know about Facia’s offerings, answered.
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The digital revolution has emerged as a phenomenal innovation, but with it comes new challenges. Perhaps the most fundamental is the development of sophisticated AI technologies, including deepfakes, hyper-realistic but entirely synthetic videos or audio. This is an important bill aimed at establishing limits and protecting citizens from invasion of privacy, the insidious spread of disinformation, and the ethics of synthetic media. Chile is adamant that technological progress will not come at the cost of human rights and public trust. Recognizing vulnerability to abuse, Chile is leading the way forward with its draft AI Bill , first presented in 2023.
The proposed AI Bill in Chile broads its scope, specifically targeting the creation, distribution, and hosting of deepfakes created with ill intent. This includes digital fabrication of material for defamation, disinformation manipulation of political debate, fraud commission, production, and dissemination of non-consensual sexually explicit content. The bill also sensibly acknowledges the value of creative work and proper inquiry. Provided that it is labeled as AI-generated and isn’t used for any fraudulent intent, content created for art, journalism, or legal research purposes will not come under these prohibitions. This judicious policy endeavors to forestall destructive applications while fostering innovation.
The bill has several critical articles designed to address the core issues brought about by deepfakes.
To render the proposed law a reality, it provides tangible penalties for breach. Individuals determined to be violating its stipulations can be penalized with imprisonment for six months to three years. Additionally, hefty financial fines, up to 1,000 UTM (Unidad Tributaria Mensual), which is a variable Chilean monthly unit of taxation, can be applied. The responsibility to oversee the implementation of such important legislation will fall on the renowned Courts of Justice of Chile as well as the Ministry of Science, indicating the seriousness of the government in tackling these issues.
As the AI Bill awaits review, no specific legal precedents are set in it directly. Nevertheless, the legal landscape in Chile is not entirely uncharted. Chilean courts have previously demonstrated eagerness to prosecute harassment cases involving deepfakes by relying on the nation’s existing cybercrime laws. This existing legal framework provides a foundation on which the new, more specific AI Bill can effectively be enacted and enforced.
In international relocation, Chile’s proposed AI Bill is a notable midpoint. It might not possess the sweeping and detailed risk categorization of the European Union’s sweeping AI Act, which places deepfakes in a high-risk category that needs rigorous controls, but it is more progressive and forward-thinking in protecting against such risks than some state-level bills within the United States. For instance, it appears to institute more overarching prohibitions than the narrowly focused ones against deepfakes being enacted in certain states, such as Texas. This suggests that Chile is trying to craft a firm legal framework in its own specific context and interests.
The discussed AI Bill has significant practical implications for various actors in the digital sphere. Such producers shall make explicit and clear consent their first priority whenever their material involves the likeness of real individuals. Also, labeling all AI-generated material as obviously and visibly labeled shall be the central point of compliance. To victims of offensive deepfakes, Chile’s Digital Rights Agency will more than likely be the point of access for reporting and securing redress for such violations. Online platforms, the focal points for digital content, will be required to actively implement and impose efficient internal mechanisms for the swift detection and eradication of harmful or mislabeled deepfakes to counter eventual legal repercussions.
In the future, Chile’s AI Bill is not so much the final page in this evolving story. As the technology of artificial intelligence keeps surging ahead at its fast rate of development, the law could well be further refined and expanded. Future revisions may even include levying even tighter punishments, particularly on the production and distribution of deepfakes intended to be used for faking elections. Other issues may be the addressing of the fresh issues arising from synthetic voice and other forms of AI-created media. The ongoing process of public and official consultation reaffirms a commitment to creating an informed and responsive body of law that sufficiently protects human rights as well as the sanctity of virtual spaces in this rapidly changing technology era.
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