AI and Crypto Become Regulatory Enemies

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In 1865 Britain passed its infamous Red Flag Act copied in many other places to regulate motor vehicles. A crew of three was required for each vehicle, one member of which had to march 60 yards ahead with a red flag to warn horses and riders of approaching vehicles. It also imposed a speed limit of four miles per hour, or two miles per hour in populated areas.

Why is this relevant now? Because the attempts some 158 years later to regulate cryptocurrencies and artificial intelligence will seem equally foolish to future generations. Technology transforms society based on its functionality and what people want to do with it, not conservative regulations passed by ignorant officials.

The collapse of crypto exchange FTX in November 2022, capping a horribilis annus for major regulated digital currencies, combined with the demo release of ChatGPT the same month, sent venture capital money fleeing crypto to AI. A harder-to-measure long-term trend among academics and top developers seems to be favoring steady, quiet progress in AI work over crypto scandals, booms, and busts. These trends are more important for the future than anything happening in Washington, or Bitcoin’s ups and downs, or how non-risk capital is allocated. The automobile and the radio, the Internet and genetic engineering transformed society in fundamental ways, unrelated to the wishes of regulators, stock prices or anything the media covered at the time.

The competition between crypto and AI for the hearts and minds of tech innovators and the wallets of venture capitalists reflects a more general dichotomy. AI is traditionally centralized, routines gobble up all data everywhere and make decisions for a small group of human designers or in dystopian sci-fi versions, the natural limit of no humans. Crypto is radically decentralized. All actionable information is held by individuals dispersed in private keys. No one controls the system.

It is no coincidence that crypto burst into mainstream consciousness with the massive and interconnected centralized failure of the 2008 financial crisis, while AI took off after the 2020 global pandemic reminded people that we are all connected, whether we like it or not. Crypto scares people because it threatens the ability of centralized human institutions to collect taxes and regulate behaviors such as drug use, sex, gambling, pornography, sedition, etc. into a nightmarish totalitarian regime, or maybe even replace humans altogether. Another problem with traditional AI is that when you extract all the information, you extract bias, intolerance and error along with good information.

But a closer look at recent events shows a more complex picture. AI hotspots use cryptographic technology to create decentralized controls. First-generation pull-in-all-information AI approaches fail because the entities controlling information today are unwilling to hand it over to a faceless algorithm that is not under their control. Homomorphic encryption allows information holders to benefit from AI analysis without the AI ​​routine itself or its creators having access to the underlying information. Federated learning allows independent and decentralized actors to build and use a common and robust AI tool, without sharing data. Many of the most exciting AI projects are meant to be delivered and controlled by individuals to gather information and make decisions, without exposing anything about the individual to the entire internet.

At the same time, many crypto projects leverage AI to build complex structures from decentralized parts. A fundamental goal of most cryptography is composability once an application is built it should be easily integrated as a modular component of any larger application. First-generation crypto projects were built with human developers in mind, but AI offers intoxicating possibilities to build much bigger and better structures with decentralized composable applications on the fly. What we now call a smart contract in cryptography is actually dumb in that it consists of dumb rules chosen by human counterparts. If you string enough dumb rules together, the contract may look smart, but it’s an illusion; complexity is not intelligence. Also, humans are not good at predicting all possible future scenarios. AI can create truly smart contracts, which could transform many spheres of human interaction.

Most utopian science fiction imagines computers with access to all information, slavishly following human instructions. A few classic science fiction devices, including Isaac Asimov’s Three Laws of Robotics, deal with the contradiction implicit in this view. But now that we’re building the algorithms that already run much of the world and could soon run it all, choosing the right mix of centralization and decentralization may be the most important social issue of the age, more important than politics or innovations in non-IT fields. the fields. And whatever choice we make will have to be designed very carefully so that it cannot be broken by either decentralized human activities leading to anarchy or centralized AI algorithms leading to humans becoming slaves.

More from Bloomberg Opinion:

Matt Levines Money Stuff: Big Companies Want Normal Crypto Markets

Binance and Coinbase Show Knives Out for Crypto: Lionel Laurent

Let the UK government write the rules for AI: Parmy Olson

This column does not necessarily reflect the opinion of the Editorial Board or of Bloomberg LP and its owners.

Aaron Brown is a former Managing Director and Head of Capital Markets Research at AQR Capital Management. He is the author of The Poker Face of Wall Street. He is also an active crypto investor and has venture capital investments and advisory relationships with crypto companies.

More stories like this are available at bloomberg.com/opinion

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