Ethical Dilemma of Deepfakes

AI Needs More Than a “Referee”: Addressing the Ethical Dilemma of Deepfakes

In a recent closed-door summit with U.S. Senators, Elon Musk issued a sobering warning: Artificial Intelligence (AI) poses a “civilizational risk.” Going beyond the usual cautions, he advocated for a new federal agency to act as a sort of “referee” in the fast-moving AI game. While the idea of a regulatory body is pertinent, the crisis we’re confronting goes deeper than that. It’s not just about overseeing AI; it’s about questioning the ethical dilemma of AI when companies freely distribute tools for creating deepfakes while monetizing detection software.

Ethical Dilemma: Aiding and Abetting?

The technology behind deepfakes—synthetic videos or audios that convincingly replace a person’s likeness and voice—has evolved dramatically. But it doesn’t stop at visuals; deepfake audio refers to a type of synthetic audio generated by AI algorithms that can mimic a person’s voice, intonation, and speech patterns with astonishing accuracy. While there are benign applications, the malicious potential is alarming—fraud, impersonation, and misinformation, to name a few. For the hacker, this is just another tool to exploit, made easy by the creators of such technology.

These companies occupy an arguably immoral position by, on one side, providing such software free of charge to the world, and on the other, charging for the ability to detect their deepfakes. At worst, they open themselves up to accusations of potentially aiding and abetting the criminals at the expense of their targets.

What’s alarming is that these tools are not just in the hands of research labs; they’re freely available to the general public, including fraudsters, hackers, and organized criminal gangs. Cybercriminals are already using deepfake technology to commit everything from identity theft to corporate espionage. Meanwhile, the software needed to detect these deepfakes from the same companies that are releasing the tools in the wild often comes with a hefty price tag.

In general, these companies can identify deepfakes created by their own software by means of proprietary watermarking methods applied when the deepfake is first created. This creates an ethical quagmire; it’s akin to someone enabling the spreading of a “virus” freely and then charging a premium price for the “cure”.

AI’s Rapid Progress: A Double-Edged Sword

AI is advancing at a breakneck pace, and while this holds the promise of numerous societal benefits, it also escalates the risks. The rapid growth of AI should prompt us to be proactive, not reactive, as Musk highlighted. Given the speed at which AI is progressing, waiting for a problem to manifest before addressing it is a dangerous strategy.

A Better Approach to AI Ethics: Companies Like ValidSoft

Amidst this alarming landscape, some companies are choosing a different path, focusing on data protection from the outset. ValidSoft, for instance, has developed deepfake detection solutions geared towards securing enterprises and their clientele from synthetic deepfake audio frauds. These solutions are fundamentally designed to counteract the freely accessible deepfake audio tools that are increasingly being weaponized for nefarious purposes. In essence, ValidSoft is a company that embodies the kind of ethical orientation that the AI sector desperately needs.

ValidSoft has been a leader in generative AI deepfake audio detection and prevention since 2012, specializing in speech science and voice biometrics and collaborating on major EU research projects. Utilizing advanced machine learning and AI techniques, their Voice Verity™ Deepfake audio detection solution is versatile, with deployment options ranging from Cloud, SaaS, hosted to On-premises. It integrates easily with any audio-enabled customer interface and can operate independently of existing biometric systems in real-time and batch. Compliant with GDPR, Voice Verity™ provides immediate, hassle-free deepfake protection, even enhancing older biometric solutions that lack robust detection features.

What Future of AI do you want?

Elon Musk’s call for a regulatory body underscores the complexity and urgency of the issue. However, while we await governmental intervention, it’s essential to support companies that have already taken it upon themselves to prioritize security. By choosing services like those offered by ValidSoft, we send a message about the kind of AI future we want one focused on ethics and protection, not the creation of harmful technology.

In conclusion, as we navigate this new frontier, it’s crucial that we move beyond just the need for a “referee” in the AI arena. We need to delve deeper into the ethical implications of how AI tools are both created and deployed. After all, if AI does present a “civilizational risk,” as Musk warns, then the ethical choices we make today will shape the civilization of tomorrow.