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The Backdoor Challenge of AI Machine-Learning

December 6, 2024 by Llewellyn King Leave a Comment

The great race is on. It isn’t the one on television, but it is one that has put the world’s wealthiest companies in fierce competition to secure market share in artificial intelligence.

The handful of big-tech companies and their satellites may have spent as much as $1 trillion on machine-learning and data center infrastructure to stuff their AI systems with billions of bits of information hoovered up from public and private sources on the internet.

These companies — Amazon, Google, Meta, Microsoft and OpenAI among them — are rich and have made their creators rich beyond compare because of information technology. Their challenge is to hold onto what they have now and to secure their futures in the next great opportunity: AI.

An unfortunate result of the wild dash to secure the franchise is that the big-tech companies — and I have confirmed this with some senior employees — have rushed new products to market before they are ready.

The racers figure that the embarrassment of so-called hallucinations (errors) is better than letting a competitor get out in front.

The challenge is that if one of the companies — and Google is often mentioned — isn’t on the leaderboard, it could fail. It could happen: Remember “MySpace”?

The downside of this speedy race is that safety systems aren’t in place or effective — a danger that could spell operational catastrophe, particularly regarding so-called backdoors.

According to two savants in the AI world, Derek Reveron and John Savage, there is a clear-and-present danger presented by this urgency for market speed over dangerous consequences.

Savage is the An Wang professor emeritus of computer science at Brown, and Reveron is chair of the National Security Affairs Department at the Naval War College in Newport, Rhode Island.

Reveron and Savage have been sounding the alarm on backdoors, first in their book, “Security in the Cyber Age: An Introduction to Policy and Technology,” published by Cambridge University Press early this year, and later in an article in Binding Hook, a British website with a focus on cybersecurity and AI.

“AI systems are trained neural networks, not computer programs. A neural net has many artificial neurons with parameters on neuron inputs that are adjusted (trained) to achieve a close match between the actual and the desired outputs. The inputs (stimuli) and desired output responses constitute a training set, and the process of training a neural net is called machine-learning,” the co-authors write.

Backdoors were initially developed by telephone companies to assist the government in criminal or national security cases. That was before AI.

Savage told me that backdoors pose a grave threat because, through them, bad actors can insert malign information — commands or instructions — into computers in general and backdoors in machine-learning-based AI systems in particular. Some backdoors can be undetectable and capable of inflicting great damage.

Savage said he is especially worried about the military using AI prematurely and making the nation more vulnerable rather than safer.

He said an example would be a weapon fired from a drone fighter jet flying under AI guidance alongside a piloted fighter jet where the weapon fired by a drone could be directed to do a U-turn and come right back and destroy the piloted plane. Extrapolate that to the battlefield or to an aerial bombardment.

Savage says that researchers have recently shown that undetectable backdoors can be inserted into AI systems during the training process, which is a new, extremely serious, and largely unappreciated cybersecurity hazard.

The risk is exacerbated because feeding billions of words into big-tech companies’ machine-learning systems is now done in low-wage countries. This was highlighted in a recent “60 Minutes” episode about workers in Kenya earning  $2 an hour, feeding data to machine-learning systems for American tech companies.

The bad actors can attack American AI by inserting dangerous misinformation in Kenya or in any other low-wage country. Of course, they can launch backdoor attacks here, too, where AI is used to write code, and then control for that code is lost.

In their Binding Hook article, Reveron and Savage make a critical point about AI. It isn’t just another more advanced computer system. It is fundamentally different and less manageable by its human masters. It lacks an underlying theory to explain its anomalous behavior, which is why the AI specialists who train machine-learning systems cannot explain this behavior.

Deploying technology with serious deficits is always risky until a way to compensate for them has been discovered. Trouble in is trouble out.

Filed Under: King's Commentaries Tagged With: Amazon, Artificial intelligence, competitor, cybersecurity, Derek Reveron, Google, John Savage, Kenya, Meta, Microsoft, OpenAI, satellites

Tech Giants Want In on Electricity, Google Has a Foothold

June 8, 2024 by Llewellyn King Leave a Comment

During the desperate days of the energy crisis in the 1970s, it looked as though the shortage was permanent and we would have to change the way we lived, worked and played to accommodate it.

In the end, it was technology that solved the crisis.

For fossil fuels, 3D seismic, horizontal drilling and fracking were used. For electricity, it was wind and solar, and better technology for making electricity with gas — a swing from burning it under boilers to burning it in aero-derivative turbines, essentially airplane engines on the ground.

A new energy shortage — this time confined to electricity — is in the making. There are a lot of people who think that, magically, the big tech companies, headed by Alphabet’s Google, will jump in and use their tech muscle to solve the crisis.

The fact is that the tech giants, including Google, Amazon, Microsoft, Apple and Meta, are highly interested in electricity because they depend on supplies for their voracious data centers. According to many experts, the electricity demand will increase exponentially as AI takes hold.

The tech giants are aware of this and have been busy as collaborators and innovators in the electric space. They want to ensure an adequate electricity supply and insist it is green and carbon-free.

Google has been a player in the energy field with its Nest Renew service. This year, it stepped up its participation by merging with OhmConnect to form Renew Home. It is what its CEO, Ben Brown, and others call a virtual power plant (VPP). These are favored by environmentalists and utilities.

A VPP collects or saves energy from the system without requiring additional generation. It can be hooking up solar panels and domestic batteries or plugging in and reversing the flow from an electric vehicle at night.

For Renew Home, the emphasis is definitely the home, Brown said in an interview.

For cash or other incentives (like rebates), participants cut their home consumption, managed by a smart meter so that air conditioning can be put up a few notches, washing machines are turned off, and an EV can be reversed to feed the grid.

Brown said that at present, Renew Home controls about 3 gigawatts of residential energy use —  a gigawatt is sometimes described as enough electricity to power San Francisco — and plans to expand that to 50 GW by 2030. All of it is already in the system and doesn’t require new lines, power plants or infrastructure.

“We are hooking up millions of customers,” he said, adding that Renew Home is cooperating with 100 utilities.

Fortunately, peak demand and the ability to save on home consumption coincide between 5 p.m. and 9 p.m.

There is no question that more electricity will be needed as the nation electrifies its transportation and its manufacturing — and especially as AI takes hold across the board.

Todd Snitchler, president of the Electric Power Supply Association, told the annual meeting of the U.S. Energy Association that a web search using ChatGPT uses nine times as much power as a routine Google search.

Google and the other four tech giants are in the electric supply space, but not in the way people expect. Renew Home is an example; although Google’s name isn’t directly connected, it is the driving force behind Renew Home.

Sidewalk Infrastructure Partners (SIP) has invested $100 million in Renew Home. Brown is a former Google executive, and Jonathan Winer is a co-CEO and cofounder of SIP.

As Jim Robb, the president of the North American Electric Reliability Corp., the congressionally mandated, not-for-profit supply watchdog, said recently on the TV show “White House Chronicle,” the expectation that Google will go out and build power plants is silly as they would face the same hurdles that electric utilities already face.

But Google is keenly interested in power supply, as are the other tech behemoths. The Economist reports they are talking to utilities and plant operators about partnering on new capacity.

Also, they are showing an interest in small modular reactors and are working with entrepreneurial power providers on building capacity, with the tech company taking the risk. Microsoft has signed a power-purchase agreement with Helion Energy, a fusion power developer.

Big tech is on the move in the electric space. It may even pull nuclear across the finish line.

Filed Under: King's Commentaries Tagged With: Amazon, Apple, Ben Brown, electricity, Google, Helion Energy, Meta, Microsoft, Renew Home, tech, Todd Snitchler

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