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Tuesday, April 30, 2024

Vienna conference urges regulation of AI weapons


By AFP
April 30, 2024

Austrian Foreign Minister Alexander Schallenberg warned autonomous weapons systems would 'soon fill the world's battlefields' - Copyright AFP/File STR

The world should establish a set of rules to regulate AI weapons while they’re still in their infancy, a global conference said on Tuesday, calling the issue an “Oppenheimer moment” of the time.

Like gunpowder and the atomic bomb, artificial intelligence (AI) has the capacity to revolutionise warfare, analysts say, making human disputes unimaginably different — and a lot more deadly.

“This is our generation’s ‘Oppenheimer moment’ where geopolitical tensions threaten to lead a major scientific breakthrough down a very dangerous path for the future of humanity,” read the summary at the end of the two-day conference in Vienna.

US physicist Robert Oppenheimer helped invent nuclear weapons during World War II.

Austria organised and hosted the two-day conference in Vienna, which brought together some 1,000 participants, including political leaders, experts and members of civil society, from more than 140 countries.

A final statement said the group “affirms our strong commitment to work with urgency and with all interested stakeholders for an international legal instrument to regulate autonomous weapons systems”.

“We have a responsibility to act and to put in place the rules that we need to protect humanity… Human control must prevail in the use of force”, said the summary, which is to be sent to the UN secretary general.

Using AI, all sorts of weapons can be transformed into autonomous systems, thanks to sophisticated sensors governed by algorithms that allow a computer to “see”.

This will enable the locating, selecting and attacking human targets — or targets containing human beings — without human intervention.

Most weapons are still in the idea or prototype stages, but Russia’s war in Ukraine has offered a glimpse of their potential.

Remotely piloted drones are not new, but they are becoming increasingly independent and are being used by both sides.

“Autonomous weapons systems will soon fill the world’s battlefields,” Austrian Foreign Minister Alexander Schallenberg said on Monday when opening the conference.

He warned now was the “time to agree on international rules and norms to ensure human control”.

Austria, a neutral country keen to promote disarmament in international forums, in 2023 introduced the first UN resolution to regulate autonomous weapons systems, which was supported by 164 states.

Thursday, April 25, 2024

 

Report Sounds Alarm Over Growing Role of Big Tech in US Military-Industrial Complex

The paper's author found that the five largest military contracts to major tech firms between 2018 and 2022 "had contract ceilings totaling at least $53 billion combined."

 Posted on

The center of the U.S. military-industrial complex has been shifting over the past decade from the Washington, D.C. metropolitan area to Northern California – a shift that is accelerating with the rise of artificial intelligence-based systems, according to a report published Wednesday.

The report – entitled How Big Tech and Silicon Valley Are Transforming the Military-Industrial Complex – was authored by Roberto J. González, a professor of cultural anthropology at San José State University, for the Costs of War Project at Brown University’s Watson Institute for International & Public Affairs.

The new paper comes amid the contentious rise of AI-powered lethal autonomous weapons systems, or killer robots; increasing reliance upon AI on battlefields from Gaza to Ukraine; and growing backlash from tech workers opposed to their companies’ products and services being used to commit or enable war crimes.

“Although much of the Pentagon’s $886 billion budget is spent on conventional weapon systems and goes to well-established defense giants such as Lockheed Martin, RTX, Northrop Grumman, General Dynamics, Boeing, and BAE Systems, a new political economy is emerging, driven by the imperatives of big tech companies, venture capital (VC), and private equity firms,” González wrote.

“As Defense Department officials have sought to adopt AI-enabled systems and secure cloud computing services, they have awarded large multibillion-dollar contracts to Microsoft, Amazon, Google, and Oracle,” he added. “At the same time, the Pentagon has increased funding for smaller defense tech startups seeking to ‘disrupt’ existing markets and ‘move fast and break things.'”

The report highlights the rise of a new class of billion-dollar military contractors, “a combination of gargantuan tech firms like Microsoft, Amazon, and Google, and hundreds of smaller, pre-IPO startup companies supported by VC firms.”

“The use of drones and AI-enabled weapons systems in Ukraine and Gaza, and a feared AI arms race with China, have fueled the Pentagon’s heavy investment in advanced digital tech,” González wrote.

A lack of transparency is obscuring the true value of some of the largest military contracts to tech companies.

“One estimate indicates that U.S. military and intelligence agencies awarded at least $28 billion to Microsoft, Amazon, and Alphabet (Google’s parent company) between 2018 and 2022,” the report states. “The actual value of these contracts is likely much higher, because many of the largest known contracts with U.S. tech companies are classified and withheld from public procurement databases.”

González found that the five largest military contracts to major tech firms between 2018 and 2022 “had contract ceilings totaling at least $53 billion combined.”

“Major tech firms are also awarded large subcontracts from relatively obscure intermediaries or ‘passthrough’ companies that are granted primary contracts from the Pentagon – evading scrutiny and analysis,” the paper adds.

González said that multi-year software-as-a-service contracts “could make the Pentagon and CIA more dependent than ever on the expertise of technical experts from the private sector.”

The risk of conflicts of interest increases as military-dependent tech companies go public.

“As just one example, since going public, more than half of Palantir Technologies’ revenue has come from the federal government,” the report states. “Recent Palantir contracts with the U.S. Army Special Operations Command and the Air Force are worth more than $900 million. Palantir stock rose more than 170% in 2023.”

There’s also the danger of a “revolving door” between Silicon Valley and the Pentagon as many senior government officials “are now gravitating towards defense-related VC or private equity firms as executives or advisers after they retire from public service.”

“The traditional ‘revolving door’ meant that a former defense official might accept an executive position with traditional weapons manufacturers; there are more lucrative options now,” González wrote. “At least 50 former defense officials are working in VC and private equity, leveraging their connections with current officials or members of Congress to advance beneficial legislation for defense tech firms in their firms’ investment portfolios.”

“The implications are significant: The new ‘revolving door’ will accelerate military and intelligence agency funding for early-stage defense tech startups,” the report states.

González details how “overblown, inaccurate, ideological talking points are driving defense funding for Big Tech,” including “grandiose claims about the effectiveness of artificial intelligence; the overestimation of China’s military and technological capabilities; the idea that America has the ability and duty to protect the world’s democratic societies; and a steadfast belief that the best way to preserve U.S. dominance is through a free market that prioritizes corporate needs.”

“These perspectives boost demand for military AI, and are promoted by a network of tech executives, venture capitalists, think tank analysts, academic researchers, journalists, and Pentagon leaders,” he wrote.

Finally, the report warns that “aggressive Big Tech business models” can rush the development of weapons, endangering both combatants and civilians.

“Members of the armed services and civilians are in danger of being harmed by inadequately tested – or algorithmically flawed – AI-enabled technologies,” the paper states. “By nature, VC firms seek rapid returns on investment by quickly bringing a product to market, and then ‘cashing out’ by either selling the startup or going public. This means that VC-funded defense tech companies are under pressure to produce prototypes quickly and then move to production before adequate testing has occurred.”

Brett Wilkins is is staff writer for Common Dreams. Based in San Francisco, his work covers issues of social justice, human rights and war and peace. This originally appeared at CommonDreams and is reprinted with the author’s permission.

Friday, March 22, 2024

Why Artificial Intelligence Must Be Stopped Now

March 21, 2024
Source: Originally published by Z. Feel free to share widely.

Mike MacKenzie - Artificial Intelligence & AI & Machine Learning. Flickr.



The promise of AI is eclipsed by its perils, which include our own annihilation.

Those advocating for artificial intelligence tout the huge benefits of using this technology. For instance, an article in CNN points out how AI is helping Princeton scientists solve “a key problem” with fusion energy. AI that can translate text to audio and audio to text is making information more accessible. Many digital tasks can be done faster using this technology.

However, any advantages that AI may promise are eclipsed by the cataclysmic dangers of this controversial new technology. Humanity has a narrow chance to stop a technological revolution whose unintended negative consequences will vastly outweigh any short-term benefits.

In the early 20th century, people (notably in the United States) could conceivably have stopped the proliferation of automobiles by focusing on improving public transit, thereby saving enormous amounts of energy, avoiding billions of tons of greenhouse gas emissions, and preventing the loss of more than 40,000 lives in car accidents each year in the U.S. alone. But we didn’t do that.

In the mid-century, we might have been able to stave off the development of the atomic bomb and averted the apocalyptic dangers we now find ourselves in. We missed that opportunity, too. (New nukes are still being designed and built.)

In the late 20th century, regulations guided by the precautionary principle could have prevented the spread of toxic chemicals that now poison the entire planet. We failed in that instance as well.

Now we have one more chance.

With AI, humanity is outsourcing its executive control of nearly every key sector —finance, warfare, medicine, and agriculture—to algorithms with no moral capacity.

If you are wondering what could go wrong, the answer is plenty.

If it still exists, the window of opportunity for stopping AI will soon close. AI is being commercialized faster than other major technologies. Indeed, speed is its essence: It self-evolves through machine learning, with each iteration far outdistancing Moore’s Law.

And because AI is being used to accelerate all things that have major impacts on the planet (manufacturing, transport, communication, and resource extraction), it is not only an uber-threat to the survival of humanity but also to all life on Earth.

AI Dangers Are Cascading

In June 2023, I wrote an article outlining some of AI’s dangers. Now, that article is quaintly outdated. In just a brief period, AI has revealed more dangerous implications than many of us could have imagined.

In an article titled “DNAI—The Artificial Intelligence/Artificial Life Convergence,” Jim Thomas reports on the prospects for “extreme genetic engineering” provided by AI. If artificial intelligence is good at generating text and images, it is also super-competent at reading and rearranging the letters of the genetic alphabet. Already, AI tech giant Nvidia has developed what Thomas calls “a first-pass ChatGPT for virus and microbe design,” and applications for its use are being found throughout life sciences, including medicine, agriculture, and the development of bioweapons.

How would biosafety precautions for new synthetic organisms work, considering that the entire design system creating them is inscrutable? How can we adequately defend ourselves against the dangers of thousands of new AI-generated proteins when we are already doing an abysmal job of assessing the dangers of new chemicals?

Research is advancing at warp speed, but oversight and regulation are moving at a snail’s pace.

Threats to the financial system from AI are just beginning to be understood. In December 2023, the U.S. Financial Stability Oversight Council (FSOC), composed of leading regulators across the government, classified AI as an “emerging vulnerability.”

Because AI acts as a “black box” that hides its internal operations, banks using it could find it harder “to assess the system’s conceptual soundness.” According to a CNN article, the FSOC regulators pointed out that AI “could produce and possibly mask biased or inaccurate results, [raising] worries about fair lending and other consumer protection issues.” Could AI-driven stocks and bonds trading tank securities markets? We may not have to wait long to find out. Securities and Exchange Commission Chair Gary Gensler, in May 2023, spoke “about AI’s potential to induce a [financial] crisis,” according to a U.S. News article, calling it “a potential systemic risk.”

Meanwhile, ChatGPT recently spent the better part of a day spewing bizarre nonsense in response to users’ questions and often has “hallucinations,” which is when the system “starts to make up stuff—stuff that is not [in line] with reality,” said Jevin West, a professor at the University of Washington, according to a CNN article he was quoted in. What happens when AI starts hallucinating financial records and stock trades?

Lethal autonomous weapons are already being used on the battlefield. Add AI to these weapons, and whatever human accountability, moral judgment, and compassion still persist in warfare will tend to vanish. Killer robots are already being tested in a spate of bloody new conflicts worldwide—in Ukraine and Russia, Israel and Palestine, as well as in Yemen and elsewhere.

It was obvious from the start that AI would worsen economic inequality. In January, the IMF forecasted that AI would affect nearly 40 percent of jobs globally (around 60 percent in wealthy countries). Wages will be impacted, and jobs will be eliminated. These are undoubtedly underestimates since the technology’s capability is constantly increasing.

Overall, the result will be that people who are placed to benefit from the technology will get wealthier (some spectacularly so), while most others will fall even further behind. More specifically, immensely wealthy and powerful digital technology companies will grow their social and political clout far beyond already absurd levels.

It is sometimes claimed that AI will help solve climate change by speeding up the development of low-carbon technologies. But AI’s energy usage could soon eclipse that of many smaller countries. And AI data centers also tend to gobble up land and water.

AI is even invading our love lives, as presaged in the 2013 movie “Her.” While the internet has reshaped relationships via online dating, AI has the potential to replace human-to-human partnering with human-machine intimate relationships. Already, Replika is being marketed as the “AI companion who cares”—offering to engage users in deeply personal conversations, including sexting. Sex robots are being developed, ostensibly for elderly and disabled folks, though the first customers seem to be wealthy men.

Face-to-face human interactions are becoming rarer, and couples are reporting a lower frequency of sexual intimacy. With AI, these worrisome trends could grow exponentially. Soon, it’ll just be you and your machines against the world.

As the U.S. presidential election nears, the potential release of a spate of deepfake audio and video recordings could have the nation’s democracy hanging by a thread. Did the candidate really say that? It will take a while to find out. But will the fact-check itself be AI-generated? India is experimenting with AI-generated political content in the run-up to its national elections, which are scheduled to take place in 2024, and the results are weird, deceptive, and subversive.

A comprehensive look at the situation reveals that AI will likely accelerate all the negative trends currently threatening nature and humanity. But this indictment still fails to account for its ultimate ability to render humans, and perhaps all living things, obsolete.

AI’s threats aren’t a series of easily fixable bugs. They are inevitable expressions of the technology’s inherent nature—its hidden inner workings and self-evolution of function. And these aren’t trivial dangers; they are existential.

The fact that some AI developers, who are the people most familiar with the technology, are its most strident critics should tell us something. In fact, policymakers, AI experts, and journalists have issued a statement warning that “mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”

Don’t Pause It, Stop It

Many AI-critical opinion pieces in the mainstream media call for a pause in its development “at a safe level.” Some critics call for regulation of the technology’s “bad” applications—in weapons research, facial recognition, and disinformation. Indeed, European Union officials took a step in this direction in December 2023, reaching a provisional deal on the world’s first comprehensive laws to regulate AI.

Whenever a new technology is introduced, the usual practice is to wait and see its positive and negative outcomes before implementing regulations. But if we wait until AI has developed further, we will no longer be in charge. We may find it impossible to regain control of the technology we have created.

The argument for a total AI ban arises from the technology’s very nature—its technological evolution involves acceleration to speeds that defy human control or accountability. A total ban is the solution that AI pioneer Eliezer Yudkowsky advised in his pivotal op-ed in TIME:


“[T]he most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. Not as in ‘maybe possibly some remote chance,’ but as in ‘that is the obvious thing that would happen.’”

Yudkowsky goes on to explain that we are currently unable to imbue AI with caring or morality, so we will get AI that “does not love you, nor does it hate you, and you are made of atoms it can use for something else.”

Underscoring and validating Yudkowsky’s warning, a U.S. State Department-funded study published on March 11 declared that unregulated AI poses an “extinction-level threat” to humanity.

To stop further use and development of this technology would require a global treaty—an enormous hurdle to overcome. Shapers of the agreement would have to identify the key technological elements that make AI possible and ban research and development in those areas, anywhere and everywhere in the world.

There are only a few historical precedents when something like this has happened. A millennium ago, Chinese leaders shut down a nascent industrial revolution based on coal and coal-fueled technologies (hereditary aristocrats feared that upstart industrialists would eventually take over political power). During the Tokugawa Shogunate period (1603-1867) in Japan, most guns were banned, almost completely eliminating gun deaths. And in the 1980s, world leaders convened at the United Nations to ban most CFC chemicals to preserve the planet’s atmospheric ozone layer.

The banning of AI would likely present a greater challenge than was faced in any of these three historical instances. But if it’s going to happen, it has to happen now.

Suppose a movement to ban AI were to succeed. In that case, it might break our collective fever dream of neoliberal capitalism so that people and their governments finally recognize the need to set limits. This should already have happened with regard to the climate crisis, which demands that we strictly limit fossil fuel extraction and energy usage. If the AI threat, being so acute, compels us to set limits on ourselves, perhaps it could spark the institutional and intergovernmental courage needed to act on other existential threats.



This article was produced by Earth | Food | Life, a project of the Independent Media Institute

Saturday, March 16, 2024

 

Terminator-style robots more likely to be blamed for civilian deaths



UNIVERSITY OF ESSEX




Advanced killer robots are more likely to blamed for civilian deaths than military machines, new research has revealed.

The University of Essex study shows that high-tech bots will be held more responsible for fatalities in identical incidents.

Led by the Department of Psychology’s Dr Rael Dawtry it highlights the impact of autonomy and agency.

And showed people perceive robots to be more culpable if described in a more advanced way.

It is hoped the study – published in The Journal of Experimental Social Psychology – will help influence lawmakers as technology advances.

Dr Dawtry said: “As robots are becoming more sophisticated, they are performing a wider range of tasks with less human involvement.

“Some tasks, such as autonomous driving or military uses of robots, pose a risk to peoples’ safety, which raises questions about how - and where - responsibility will be assigned when people are harmed by autonomous robots.

“This is an important, emerging issue for law and policy makers to grapple with, for example around the use of autonomous weapons and human rights.

“Our research contributes to these debates by examining how ordinary people explain robots’ harmful behaviour and showing that the same processes underlying how blame is assigned to humans also lead people to assign blame to robots.”

As part of the study Dr Dawtry presented different scenarios to more than 400 people.

One saw them judge whether an armed humanoid robot was responsible for the death of a teenage girl.

During a raid on a terror compound its machine guns “discharged” and fatally hit the civilian.

When reviewing the incident, the participants blamed a robot more when it was described in more sophisticated terms despite the outcomes being the same.

Other studies showed that simply labelling a variety of devices ‘autonomous robots’ lead people to hold them accountable compared to when they were labelled ‘machines’.

Dr Dawtry added: “These findings show that how robots’ autonomy is perceived– and in turn, how blameworthy robots are – is influenced, in a very subtle way, by how they are described.

“For example, we found that simply labelling relatively simple machines, such as those used in factories, as ‘autonomous robots’, lead people to perceive them as agentic and blameworthy, compared to when they were labelled ‘machines’.

“One implication of our findings is that, as robots become more objectively sophisticated, or are simply made to appear so, they are more likely to be blamed.”

Tuesday, February 27, 2024

 

‘Emergent’ AI Behavior and Human Destiny

Reprinted from TomDispatch:

Make no mistake, artificial Intelligence (AI) has already gone into battle in a big-time way. The Israeli military is using it in Gaza on a scale previously unknown in wartime. They’ve reportedly been employing an AI target-selection platform called (all too unnervingly) “the Gospel” to choose many of their bombing sites. According to a December report in the Guardian, the Gospel “has significantly accelerated a lethal production line of targets that officials have compared to a ‘factory.’” The Israeli Defense Forces (IDF) claim that it “produces precise attacks on infrastructure associated with Hamas while inflicting great damage to the enemy and minimal harm to noncombatants.” Significantly enough, using that system, the IDF attacked 15,000 targets in Gaza in just the first 35 days of the war. And given the staggering damage done and the devastating death toll there, the Gospel could, according to the Guardian, be thought of as an AI-driven “mass assassination factory.”

Meanwhile, of course, in the Ukraine War, both the Russians and the Ukrainians have been hustling to develop, produce, and unleash AI-driven drones with deadly capabilities. Only recently, in fact, Ukrainian President Volodymyr Zelensky created a new branch of his country’s armed services specifically focused on drone warfare and is planning to produce more than one million drones this year.  According to the Independent, “Ukrainian forces are expected to create special staff positions for drone operations, special units, and build effective training. There will also be a scaling-up of production for drone operations, and inclusion of the best ideas and top specialists in the unmanned aerial vehicles domain, [Ukrainian] officials have said.”

And all of this is just the beginning when it comes to war, AI-style, which is going to include the creation of “killer robots” of every imaginable sort. But as the U.S., Russia, China, and other countries rush to introduce AI-driven battlefields, let TomDispatch regular Michael Klare, who has long been focused on what it means for the globe’s major powers to militarize AI, take you into a future in which (god save us all!) robots could be running (yes, actually running!) the show. ~ Tom Engelhardt


“Emergent” AI Behavior and Human Destiny

What Happens When Killer Robots Start Communicating with Each Other?

by Michael Klare

Yes, it’s already time to be worried — very worried. As the wars in Ukraine and Gaza have shown, the earliest drone equivalents of “killer robots” have made it onto the battlefield and proved to be devastating weapons. But at least they remain largely under human control. Imagine, for a moment, a world of war in which those aerial drones (or their ground and sea equivalents) controlled us, rather than vice-versa. Then we would be on a destructively different planet in a fashion that might seem almost unimaginable today. Sadly, though, it’s anything but unimaginable, given the work on artificial intelligence (AI) and robot weaponry that the major powers have already begun. Now, let me take you into that arcane world and try to envision what the future of warfare might mean for the rest of us.

By combining AI with advanced robotics, the U.S. military and those of other advanced powers are already hard at work creating an array of self-guided “autonomous” weapons systems — combat drones that can employ lethal force independently of any human officers meant to command them. Called “killer robots” by critics, such devices include a variety of uncrewed or “unmanned” planes, tanks, ships, and submarines capable of autonomous operation. The U.S. Air Force, for example, is developing its “collaborative combat aircraft,” an unmanned aerial vehicle (UAV) intended to join piloted aircraft on high-risk missions. The Army is similarly testing a variety of autonomous unmanned ground vehicles (UGVs), while the Navy is experimenting with both unmanned surface vessels (USVs) and unmanned undersea vessels (UUVs, or drone submarines). China, Russia, Australia, and Israel are also working on such weaponry for the battlefields of the future.

The imminent appearance of those killing machines has generated concern and controversy globally, with some countries already seeking a total ban on them and others, including the U.S., planning to authorize their use only under human-supervised conditions. In Geneva, a group of states has even sought to prohibit the deployment and use of fully autonomous weapons, citing a 1980 U.N. treaty, the Convention on Certain Conventional Weapons, that aims to curb or outlaw non-nuclear munitions believed to be especially harmful to civilians. Meanwhile, in New York, the U.N. General Assembly held its first discussion of autonomous weapons last October and is planning a full-scale review of the topic this coming fall.

For the most part, debate over the battlefield use of such devices hinges on whether they will be empowered to take human lives without human oversight. Many religious and civil society organizations argue that such systems will be unable to distinguish between combatants and civilians on the battlefield and so should be banned in order to protect noncombatants from death or injury, as is required by international humanitarian law. American officials, on the other hand, contend that such weaponry can be designed to operate perfectly well within legal constraints.

However, neither side in this debate has addressed the most potentially unnerving aspect of using them in battle: the likelihood that, sooner or later, they’ll be able to communicate with each other without human intervention and, being “intelligent,” will be able to come up with their own unscripted tactics for defeating an enemy — or something else entirely. Such computer-driven groupthink, labeled “emergent behavior” by computer scientists, opens up a host of dangers not yet being considered by officials in Geneva, Washington, or at the U.N.

For the time being, most of the autonomous weaponry being developed by the American military will be unmanned (or, as they sometimes say, “uninhabited”) versions of existing combat platforms and will be designed to operate in conjunction with their crewed counterparts. While they might also have some capacity to communicate with each other, they’ll be part of a “networked” combat team whose mission will be dictated and overseen by human commanders. The Collaborative Combat Aircraft, for instance, is expected to serve as a “loyal wingman” for the manned F-35 stealth fighter, while conducting high-risk missions in contested airspace. The Army and Navy have largely followed a similar trajectory in their approach to the development of autonomous weaponry.

The Appeal of Robot “Swarms”

However, some American strategists have championed an alternative approach to the use of autonomous weapons on future battlefields in which they would serve not as junior colleagues in human-led teams but as coequal members of self-directed robot swarms. Such formations would consist of scores or even hundreds of AI-enabled UAVs, USVs, or UGVs — all able to communicate with one another, share data on changing battlefield conditions, and collectively alter their combat tactics as the group-mind deems necessary.

“Emerging robotic technologies will allow tomorrow’s forces to fight as a swarm, with greater mass, coordination, intelligence and speed than today’s networked forces,” predicted Paul Scharre, an early enthusiast of the concept, in a 2014 report for the Center for a New American Security (CNAS). “Networked, cooperative autonomous systems,” he wrote then, “will be capable of true swarming — cooperative behavior among distributed elements that gives rise to a coherent, intelligent whole.”

As Scharre made clear in his prophetic report, any full realization of the swarm concept would require the development of advanced algorithms that would enable autonomous combat systems to communicate with each other and “vote” on preferred modes of attack. This, he noted, would involve creating software capable of mimicking ants, bees, wolves, and other creatures that exhibit “swarm” behavior in nature. As Scharre put it, “Just like wolves in a pack present their enemy with an ever-shifting blur of threats from all directions, uninhabited vehicles that can coordinate maneuver and attack could be significantly more effective than uncoordinated systems operating en masse.”

In 2014, however, the technology needed to make such machine behavior possible was still in its infancy. To address that critical deficiency, the Department of Defense proceeded to fund research in the AI and robotics field, even as it also acquired such technology from private firms like Google and Microsoft. A key figure in that drive was Robert Work, a former colleague of Paul Scharre’s at CNAS and an early enthusiast of swarm warfare. Work served from 2014 to 2017 as deputy secretary of defense, a position that enabled him to steer ever-increasing sums of money to the development of high-tech weaponry, especially unmanned and autonomous systems.

From Mosaic to Replicator

Much of this effort was delegated to the Defense Advanced Research Projects Agency (DARPA), the Pentagon’s in-house high-tech research organization. As part of a drive to develop AI for such collaborative swarm operations, DARPA initiated its “Mosaic” program, a series of projects intended to perfect the algorithms and other technologies needed to coordinate the activities of manned and unmanned combat systems in future high-intensity combat with Russia and/or China.

“Applying the great flexibility of the mosaic concept to warfare,” explained Dan Patt, deputy director of DARPA’s Strategic Technology Office, “lower-cost, less complex systems may be linked together in a vast number of ways to create desired, interwoven effects tailored to any scenario. The individual parts of a mosaic are attritable [dispensable], but together are invaluable for how they contribute to the whole.”

This concept of warfare apparently undergirds the new “Replicator” strategy announced by Deputy Secretary of Defense Kathleen Hicks just last summer. “Replicator is meant to help us overcome [China’s] biggest advantage, which is mass. More ships. More missiles. More people,” she told arms industry officials last August. By deploying thousands of autonomous UAVs, USVs, UUVs, and UGVs, she suggested, the U.S. military would be able to outwit, outmaneuver, and overpower China’s military, the People’s Liberation Army (PLA). “To stay ahead, we’re going to create a new state of the art… We’ll counter the PLA’s mass with mass of our own, but ours will be harder to plan for, harder to hit, harder to beat.”

To obtain both the hardware and software needed to implement such an ambitious program, the Department of Defense is now seeking proposals from traditional defense contractors like Boeing and Raytheon as well as AI startups like Anduril and Shield AI. While large-scale devices like the Air Force’s Collaborative Combat Aircraft and the Navy’s Orca Extra-Large UUV may be included in this drive, the emphasis is on the rapid production of smaller, less complex systems like AeroVironment’s Switchblade attack drone, now used by Ukrainian troops to take out Russian tanks and armored vehicles behind enemy lines.

At the same time, the Pentagon is already calling on tech startups to develop the necessary software to facilitate communication and coordination among such disparate robotic units and their associated manned platforms. To facilitate this, the Air Force asked Congress for $50 million in its fiscal year 2024 budget to underwrite what it ominously enough calls Project VENOM, or “Viper Experimentation and Next-generation Operations Model.” Under VENOM, the Air Force will convert existing fighter aircraft into AI-governed UAVs and use them to test advanced autonomous software in multi-drone operations. The Army and Navy are testing similar systems.

When Swarms Choose Their Own Path

In other words, it’s only a matter of time before the U.S. military (and presumably China’s, Russia’s, and perhaps those of a few other powers) will be able to deploy swarms of autonomous weapons systems equipped with algorithms that allow them to communicate with each other and jointly choose novel, unpredictable combat maneuvers while in motion. Any participating robotic member of such swarms would be given a mission objective (“seek out and destroy all enemy radars and anti-aircraft missile batteries located within these [specified] geographical coordinates”) but not be given precise instructions on how to do so. That would allow them to select their own battle tactics in consultation with one another. If the limited test data we have is anything to go by, this could mean employing highly unconventional tactics never conceived for (and impossible to replicate by) human pilots and commanders.

The propensity for such interconnected AI systems to engage in novel, unplanned outcomes is what computer experts call “emergent behavior.” As ScienceDirect, a digest of scientific journals, explains it, “An emergent behavior can be described as a process whereby larger patterns arise through interactions among smaller or simpler entities that themselves do not exhibit such properties.” In military terms, this means that a swarm of autonomous weapons might jointly elect to adopt combat tactics none of the individual devices were programmed to perform — possibly achieving astounding results on the battlefield, but also conceivably engaging in escalatory acts unintended and unforeseen by their human commanders, including the destruction of critical civilian infrastructure or communications facilities used for nuclear as well as conventional operations.

At this point, of course, it’s almost impossible to predict what an alien group-mind might choose to do if armed with multiple weapons and cut off from human oversight. Supposedly, such systems would be outfitted with failsafe mechanisms requiring that they return to base if communications with their human supervisors were lost, whether due to enemy jamming or for any other reason. Who knows, however, how such thinking machines would function in demanding real-world conditions or if, in fact, the group-mind would prove capable of overriding such directives and striking out on its own.

What then? Might they choose to keep fighting beyond their preprogrammed limits, provoking unintended escalation — even, conceivably, of a nuclear kind? Or would they choose to stop their attacks on enemy forces and instead interfere with the operations of friendly ones, perhaps firing on and devastating them (as Skynet does in the classic science fiction Terminator movie series)? Or might they engage in behaviors that, for better or infinitely worse, are entirely beyond our imagination?

Top U.S. military and diplomatic officials insist that AI can indeed be used without incurring such future risks and that this country will only employ devices that incorporate thoroughly adequate safeguards against any future dangerous misbehavior. That is, in fact, the essential point made in the “Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy” issued by the State Department in February 2023. Many prominent security and technology officials are, however, all too aware of the potential risks of emergent behavior in future robotic weaponry and continue to issue warnings against the rapid utilization of AI in warfare.

Of particular note is the final report that the National Security Commission on Artificial Intelligence issued in February 2021. Co-chaired by Robert Work (back at CNAS after his stint at the Pentagon) and Eric Schmidt, former CEO of Google, the commission recommended the rapid utilization of AI by the U.S. military to ensure victory in any future conflict with China and/or Russia. However, it also voiced concern about the potential dangers of robot-saturated battlefields.

“The unchecked global use of such systems potentially risks unintended conflict escalation and crisis instability,” the report noted. This could occur for a number of reasons, including “because of challenging and untested complexities of interaction between AI-enabled and autonomous weapon systems [that is, emergent behaviors] on the battlefield.” Given that danger, it concluded, “countries must take actions which focus on reducing risks associated with AI-enabled and autonomous weapon systems.”

When the leading advocates of autonomous weaponry tell us to be concerned about the unintended dangers posed by their use in battle, the rest of us should be worried indeed. Even if we lack the mathematical skills to understand emergent behavior in AI, it should be obvious that humanity could face a significant risk to its existence, should killing machines acquire the ability to think on their own. Perhaps they would surprise everyone and decide to take on the role of international peacekeepers, but given that they’re being designed to fight and kill, it’s far more probable that they might simply choose to carry out those instructions in an independent and extreme fashion.

If so, there could be no one around to put an R.I.P. on humanity’s gravestone.

Follow TomDispatch on Twitter and join us on Facebook. Check out the newest Dispatch Books, John Feffer’s new dystopian novel, Songlands (the final one in his Splinterlands series), Beverly Gologorsky’s novel Every Body Has a Story, and Tom Engelhardt’s A Nation Unmade by War, as well as Alfred McCoy’s In the Shadows of the American Century: The Rise and Decline of U.S. Global Power, John Dower’s The Violent American Century: War and Terror Since World War IIand Ann Jones’s They Were Soldiers: How the Wounded Return from America’s Wars: The Untold Story.

Michael T. Klare, a TomDispatch regular, is the five-college professor emeritus of peace and world security studies at Hampshire College and a senior visiting fellow at the Arms Control Association. He is the author of 15 books, the latest of which is All Hell Breaking Loose: The Pentagon’s Perspective on Climate Change.

Copyright 2024 Michael Klare



Artificial Intelligence (AI): Friend or Foe?

In the realm of AI’s vast benefits, there looms a shadow of vulnerability to malicious exploitation. To explore this contrast further, one must acknowledge that with great power comes great responsibility. Just as fire can be a beacon of warmth and progress or a destructive force when misused, AI possesses the same duality.

  • 13 hours ago
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  • February 26, 2024




This Op-Ed is one in a series which is aimed at shedding light on critical global issues that demand urgent attention and address a spectrum of challenges affecting us all, emphasizing the need for collective action and support from international humanitarian organizations. By fostering awareness and encouraging collaboration, we hope to inspire positive change and contribute to a more compassionate and equitable world as we cover the multitude of issues that impact our global community.

The rapid advancement of Artificial Intelligence (AI) represents a double-edged sword. It offers vast opportunities for progress across numerous fields while simultaneously raising concerns about its potential misuse. AI’s ability to learn, reason, and make decisions promises to revolutionize various fields like healthcare, transportation, education, and beyond, enhancing problem-solving and efficiency. 

However, like most game-changing discoveries, there’s a looming shadow cast by the possibility of its exploitation by bad actors for malicious intents. The fear stems from scenarios where AI could be weaponized for cyberattacks, surveillance, or even autonomous weaponry, posing significant threats to privacy, security, societal stability, and existential threats.

AI reshapes sectors, offers vast benefits

AI and machine learning were pivotal in combating COVID-19, aiding in scaling communications, tracking spread, and accelerating research and treatment efforts. For instance, Clevy.io, a French start-up and Amazon Web Services customer launched its chatbot to screen COVID-19 symptoms and offer official information to the public. Utilizing real-time data from the French government and the WHO, the chatbot managed millions of inquiries, covering topics ranging from symptoms to governmental policies.

About 83 percent of executives recognize the capability of science and technology in tackling global health issues, signaling a growing inclination towards AI-powered healthcare. In a groundbreaking development, the University College London has paved the way for brain surgery using artificial intelligence, potentially revolutionizing the field within the next two years. Recognized by the government as a significant advancement, it holds the promise of transforming healthcare in the UK. 

Furthermore, in December 2023, Google introduced MedLM, a set of AI models tailored for healthcare tasks like aiding clinicians in studies and summarizing doctor-patient interactions. It’s now accessible to eligible Google Cloud users in the United States.

Artificial intelligence (AI) is also reshaping various sectors like banking, insurance, law enforcement, transportation, and education. It detects fraud, streamlines procedures, aids investigations, enables autonomous vehicles, deciphers ancient languages, and improves teaching and learning techniques. Moreover, AI supports everyday tasks, saving time and reducing mental strain.

In the realm of AI’s vast benefits, there looms a shadow of vulnerability to malicious exploitation. To explore this contrast further, one must acknowledge that with great power comes great responsibility. Just as fire can be a beacon of warmth and progress or a destructive force when misused, AI possesses the same duality.

Experts taken aback by quick progress of AI

As technology improves, it’s becoming more likely that AI will be able to do many of the tasks currently done by professionals such as lawyers, accountants, teachers, programmers, and journalists. This means that these jobs might change or even become automated in the future. According to a report by investment bank Goldman Sachs, AI could replace 300 million jobs globally and increase the annual value of goods and services by seven percent. It also suggests that up to a quarter of tasks in the US and Europe could be automated by AI. This projection underscores the transformative impact AI could have on the labor market.

Many experts have been taken aback by the quick progress of AI development. Some prominent figures, including Elon Musk and Apple co-founder Steve Wozniak were among 1,300 signatories of an open letter calling for a six-month pause on training AI systems to address the dangers arising from its rapid advancement. Furthermore, in an October report, the UK government warned that AI could aid hackers in cyberattacks and potentially assist terrorists in planning biological or chemical attacks. Artificial intelligence, warned by experts including the leaders of Open AI and Google DeepMind, could potentially result in humanity’s extinction. Dozens have supported a statement published on the webpage of the Centre for AI Safety: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”

Artificial intelligence, elections, deep fakes, and AI bombs

In addition, the swift evolution of artificial intelligence may be disrupting democratic processes like elections. Generative AI, capable of creating convincing yet fake content, particularly deepfake videos, blurs the line between fact and fiction in politics. This technological capability poses significant risks to the integrity of democratic systems worldwide. Gary Marcus, a professor at New York University, warns “The biggest immediate risk is the threat to democracy…there are a lot of elections around the world in 2024, and the chance that none of them will be swung by deep fakes and things like that is almost zero.”

The CEO of OpenAI, Sam Altman, emphasized the importance of addressing “very subtle societal misalignments” that could lead AI systems to cause significant harm, rather than focusing solely on scenarios like “killer robots walking on the street.” He also referenced the International Atomic Energy Agency (IAEA) as a model for international cooperation in overseeing potentially dangerous technologies like nuclear power.

A survey from Stanford University states that more than one-third of researchers believe artificial intelligence (AI) could cause a “nuclear-level catastrophe”. This highlights the widespread concerns within the field about the dangers posed by AI technology advancing so rapidly. The results of the survey contribute to the increasing demand for regulations on artificial intelligence. These calls have been sparked by various controversies, like incidents where chatbots were linked to suicides and the creation of deepfake videos showing Ukrainian President Volodymyr Zelenskyy supposedly surrendering to Russian forces.

In “AI and the Bomb,” published this year, James Johnson of the University of Aberdeen envisions a 2025 accidental nuclear war in the East China Sea, triggered by AI-powered intelligence from both the U.S. and Chinese sides.

The proliferation of autonomous weapons

The worst that AI can do, and is already doing, includes integrating into military systems, notably in autonomous weapons, raising ethical, legal, and security concerns. These “killer robots” risk unintended consequences, loss of human control, misidentification, and targeting errors, potentially escalating conflicts. 

In November 2020, the prominent Iranian nuclear scientist Mohsen Fakhrizadeh was killed in an attack involving a remote-controlled machine gun believed to be used by Israel. Reports suggest that the weapon utilized artificial intelligence to target and carry out the assassination.

The proliferation of autonomous weapons could destabilize global security dynamics and trigger arms race due to the absence of clear regulations and international norms governing their use in warfare. The lack of a shared framework poses risks, evident in conflicts like the Ukraine war and Gaza. The Ukraine frontline has witnessed a surge in unmanned aerial vehicles equipped with AI-powered targeting systems, enabling near-instantaneous destruction of military assets. In Gaza, AI reshaped warfare after Hamas disrupted Israeli surveillance. Israel responded with “the Gospel,” an AI targeting platform, increasing target strikes but raising civilian concerns.

Countries worldwide are urging urgent regulation of AI due to risks and concerns over its serious consequences. Therefore, concerted efforts are needed to establish clear guidelines and standards to ensure responsible and ethical deployment of AI systems.

Critical safety measures for artificial intelligence: we cannot solve problems in silos

In November, top AI developers, meeting at Britain’s inaugural global AI Safety Summit, pledged to collaborate with governments in testing emerging AI models before deployment to mitigate risks. Additionally, the U.S., Britain, and over a dozen other nations introduced a non-binding agreement outlining broad suggestions for AI safety, including monitoring for misuse, safeguarding data integrity, and vetting software providers.

The US plans to launch an AI safety institute to assess risks, while President Biden’s executive order requires developers of risky AI systems to share safety test results. In the EU, lawmakers ratified a provisional agreement on AI rules, paving the way for the world’s first legislation. EU countries have also endorsed the AI Act to regulate government use of AI in surveillance and AI systems.

AI regulation is crucial for ensuring the ethical and responsible development, deployment, and use of artificial intelligence technologies. Without regulation, there is a risk of AI systems being developed and utilized in ways that harm individuals, society, and the environment.

However, confronting the dark and nefarious challenges which come with AI, country by country, will be as futile as when we attempted to overcome the existential, game-changing virus COVID-19 and the accompanying global pandemic of 2020-2023. There is a plethora of global issues such as climate change, world hunger, child labour, child marriages, waste, immigration, refugee crises, and terrorism, just to name a few, which we will fail to solve if we continue trying to do this in nation-by-nation silos.