There’s no definitive way to tell if an initial coin offering (ICO) is a scam, but a machine learning-based research method could make it easier to avoid the most obvious ones. And that’s good for everyone except the scammers.

A Chinese startup called Shannon.AI, working with researchers from Stanford, University of California Santa Barbara, and the University of Michigan, recently unveiled a white paper detailing an AI designed to sniff out cryptocurrency scams.

When it comes to cryptocurrency investing there’s only one sure-fire way to avoid getting scammed: don’t do it. Sure, the Bitcoin bros and millennial millionaires make it look like we can all drive our lambos to the moon if we invest, but the reality is the majority of ICOs last year were either scams or failed.

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As the researchers put it in their white paper:

Despite the fact that ICOs are able to provide fair and lawful investment opportunities, the ease of crowdfunding creates opportunities and incentives for unscrupulous businesses to use ICOs to execute “pump and dump” schemes, in which the ICO initiators drive up the value of the crowdfunded cryptocurrency and then quickly “dump” the coins for a profit.

So how do you separate the scams from the legitimate contenders when they all seem like techno-babble to anyone who isn’t well-versed in reading white papers?

There’s no easy answer. An almost complete lack of any regulation makes it impossible to ‘prove’ a scam until it’s too late. This isn’t about spreading fear, uncertainty, and doubt (FUD). It’s simple facts.

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Part of the reason for this is white papers and websites can be made to look legitimate with relative ease. Simply put, most scammers are counting on the fact that you won’t dedicate as much time to researching their coin as they can to making it appear legitimate.

The problem is made even worse by the general toxicity and shill-like nature of the vast majority of cryptocurrency communities. When you have a large group of people whose common denominator is a mutual investment, coupled by bounty programs for spreading positive messages, it becomes impossible to get a clear picture of a coin’s legitimacy by talking to the people involved with it.

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The Shannon.AI team’s white paper outlines a machine learning approach to separating the scams from legitimate projects:

By analyzing 2,251 ICO projects, we correlate the life span and the price change of a digital currency with various levels of its ICO information, including its white papers, founding team, GitHub repository, website, etc. For the best setting, the proposed system is able to identify scam ICO projects with a precision of 0.83 and an F1 score of 0.80.

Credit: Shannon.AI