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Verifiable credentials: The antidote to AI-driven scams | Opinion

Opinion
Verifiable credentials: The antidote to AI-driven scams | Opinion

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.

In February of 2022, Netflix’s documentary, The Tinder Swindler, sparked widespread discussion that coincided with the first market correction of the year. The documentary rocked the web3 community, briefly shifting the focus away from blockchain and onto the real reality of online scams, with crypto being a focus.

The plotline was strikingly familiar—a scam story heard countless times now with a modern twist. Highlighting the intense difficulty many victims face when trying to find methods to verify the scammer’s identity, the online discussion was quick to criticize or dismiss the victim’s actions. The question, however, remained: how could these individuals verify the claims of someone so deliberately deceptive?

Debates and online discussions around the documentary ensued until swiftly fading into obscurity as the next trending topic moved the spotlight. This vital problem has not been faced: a recent report on scamming has highlighted this, underscoring the critical need for a system of decentralized trust that anyone, old or young, is able to utilize.

Hong Kong police recently uncovered a HK$34 million, which is roughly US$4.37 million, scam operation targeting victims through the use of impersonation by AI and Deepfakes. According to a report by the South China Morning Post, the investigation shed light on some of the novel strategies employed by local romance scam operators. Using AI to generate credible images of attractive women to lure victims into romance and investment scams.

Recruits were trained to create fake online personas using AI-powered deepfake images of attractive individuals. They then lured victims into online romantic relationships. Once trust was established, the scammers persuaded victims to invest in fraudulent crypto platforms.

The dark side of AI and deepfakes

Scammers seem to become more creative as technology thrusts forward. What began with phone scams—designed to exploit moments of fear or confusion—soon progressed to the manipulation of social media. Scammers began leveraging curated profiles and staged interactions, using photos and likes to build a veneer of credibility and trust.

Now, we are witnessing the industrial revolution of the internet with our very own eyes: AI efficiency, and with that comes the integration of AI into scams. Powered by these increasingly advanced generative AI models, these bots have the potential to create entirely convincing identities using deepfakes and simulate human behavior to deceive with unparalleled precision.

The emergence of this technology has sparked widespread debate, raising critical questions: How can individuals and organizations distinguish between real people and artificial representations of real people that mimic human behaviour in a realistic way?

This is where cutting-edge companies like cheqd are game changers—seeking to provide relief from online fraud through the use of decentralized, verifiable credentials. These credentials empower individuals and organizations to assert authenticity without compromising privacy. cheqd stands as a vanguard in the fight against the rising tide of AI-driven scams.

Proof-of-personhood

As the breakneck pace of AI development continues, so will the demand for solutions that ensure authenticity against ever increasing AI integrated fraud. The need for proof-of-personhood—a system to verify unique human identity while preserving privacy—will become paramount in safeguarding the web3 ecosystem and beyond.

To verify real individuals in an increasingly AI-driven social landscape, we build up a reputation using diffuse social signals and proof points. For example, I can prove I am endorsed by cheqd for owning my Telegram handle and that I’m the CEO of the company. These credentials are issued by the organization, not just self-claimed. Additionally, you can click on the credentials to verify that I’ve contacted you from the verified Telegram handle associated with them.

For instance, ‘proofs’ (in the form of a cryptographically secure verification stored on the blockchain) from multiple in-person events collected over months or years, as well as proof of government-issued identities, would give you an extremely high assurance you are chatting with an individual. AI would not be able to collect those proofs as you, as an individual, choose who can access them, especially over an extended period and from multiple independent sources.

The rise of AI bots amplifies the need for verifiability

The quest for authenticity shapes our culture, desires, and identities as an individual, Influencing everything from the food we eat to the fashion we wear. This pursuit has only been amplified in the digital realm not only by AI bots but by individuals who use inauthentic methods such as AI to portray themselves online in the best light, creating the ever-present consideration among users of the credibility and authenticity of online entities.

A notable example of this is via the beloved Truth Terminal—an AI bot created by developer Andy Ayrey to interact with the web3 X (formally Twitter) community. The bot made a spelling mistake in one of its posts, which even sparked a debate on the other side of the spectrum surrounding the extent of human involvement in its operations.

Such incidents underscore the need for robust digital verification mechanisms and the increasing difficulty in distinguishing between human and machine-generated while the AI learns from us.

Decentralized Identifiers (DIDs), such as those supported by cheqd, offer a scalable solution. They are globally recognized unique identifiers that enable entities or individuals to be identified without relying on centralized authorities. The technology enables individuals and organizations to manage their digital identities independently, so they won’t need to rely on third parties to issue or verify them. 

While the lines between human and AI-generated content are increasingly blurred, DIDs offer the only viable solution to maintain trust and authenticity online. 

Looking forwards

As AI blurs the line between reality and fabrication, the need for verifiable trust becomes ever more urgent. Scams are mushrooming and becoming more advanced, decentralized technologies like those built by cheqd aren’t just optional, they’re essential.

cheqd is building the infrastructure for a more secure digital world through verifiable credentials, DIDs, trust registries, and zero-knowledge proof. By providing practical tools to establish authenticity, cheqd protects organizations and individuals, ensuring that the digital spaces we navigate remain secure and reliable.

Fraser Edwards
Fraser Edwards

Fraser Edwards is pioneering the development of the cheqd network that empowers businesses to create and leverage digital credentials while addressing the commercial challenges of self-sovereign identity (SSI). Under his leadership, cheqd is at the forefront of transforming digital identity solutions, making them more accessible and viable for organizations globally. Fraser is a regular speaker at blockchain and identity conferences, including Messari Mainnet, Web Summit, Zebu Live, Nebular Summit, Money 20/20, RWOT, European Blockchain Convention, and many others. His leadership has propelled cheqd into prestigious startup programs at events like Paris Blockchain Week, ETHCC, and more.