Professor of International Security at Lancaster University Joe Burton argues that AI and algorithms are not just tools deployed by national security agencies to prevent malicious activity online, but can be contributors to polarization, radicalism and political violence — posing a threat to national security.

Further to this, he says, securitization processes (presenting technology as an existential threat) have been instrumental in how AI has been designed, used and to the harmful outcomes it has generated.

Professor Burton’s article ‘Algorithmic extremism? The securitization of Artificial Intelligence (AI) and its impact on radicalism, polarization and political violence’ is published in Elsevier’s high impact Technology in Society Journal.

“AI is often framed as a tool to be used to counter violent extremism,” says Professor Burton. “Here is the other side of the debate.”

The paper looks at how AI has been securitized throughout its history, and in media and popular culture depictions, and by exploring modern examples of AI having polarizing, radicalizing effects that have contributed to political violence.

The article cites the classic film series, The Terminator, which depicted a holocaust committed by a ‘sophisticated and malignant’ artificial intelligence, as doing more than anything to frame popular awareness of Artificial Intelligence and the fear that machine consciousness could lead to devastating consequences for humanity — in this case a nuclear war and a deliberate attempt to exterminate a species.

“This lack of trust in machines, the fears associated with them, and their association with biological, nuclear and genetic threats to humankind has contributed to a desire on the part of governments and national security agencies to influence the development of the technology, to mitigate risk and (in some cases) to harness its positive potentiality,” writes Professor Burton.

The role of sophisticated drones, such as those being used in the war in Ukraine, are, says Professor Burton, now capable of full autonomy including functions such as target identification and recognition.

And, while there has been a broad and influential campaign debate, including at the UN, to ban ‘killer robots’ and to keep the human in the loop when it comes to life-or-death decision-making, the acceleration and integration into armed drones has, he says, continued apace.

In cyber security — the security of computers and computer networks — AI is being used in a major way with the most prevalent area being (dis)information and online psychological warfare.

Putin’s government’s actions against US electoral processes in 2016 and the ensuing Cambridge Analytica scandal showed the potential for AI to be combined with big data (including social media) to create political effects centred around polarization, the encouragement of radical beliefs and the manipulation of identity groups. It demonstrated the power and the potential of AI to divide societies.

And during the pandemic, AI was seen as a positive in tracking and tracing the virus but it also led to concerns over privacy and human rights.

The article examines AI technology itself, arguing that problems exist in the design of AI, the data that it relies on, how it is used, and in its outcomes and impacts.

The paper concludes with a strong message to researchers working in cyber security and International Relations.

“AI is certainly capable of transforming societies in positive ways but also presents risks which need to be better understood and managed,” writes Professor Burton, an expert in cyber conflict and emerging technologies and who is part of the University’s Security and Protection Science initiative.

“Understanding the divisive effects of the technology at all stages of its development and use is clearly vital.

“Scholars working in cyber security and International Relations have an opportunity to build these factors into the emerging AI research agenda and avoid treating AI as a politically neutral technology.

“In other words, the security of AI systems, and how they are used in international, geopolitical struggles, should not override concerns about their social effects.”

As one of only a handful of universities whose education, research and training is recognised by the UK’s National Cyber Security Centre (NCSC), part of GCHQ, Lancaster is investing heavily in the next generation of cyber security leaders. As well as boosting the skills and talent pipeline in the region by building on its NCSC certified Masters degree with a new undergraduate degree in cyber security, it launched a trailblazing Cyber Executive Masters in Business Education.

The study, “Friend or Foe? Teaming Between Artificial Intelligence and Workers with Variation in Experience,” looks at the influence of two major types of human work experience (narrow experience based on the specific task volume and broad experience based on seniority) on the human-AI team dynamics.

“We developed an AI solution for medical chart coding in a publicly traded company and conducted a field study among the knowledge workers,” says Weiguang Wang of the University of Rochester and leading author of the study. “We were surprised by what we found in the study. The different dimensions of work experience have distinct interactions with AI and play unique roles in human-AI teaming.”

“While one might think that less experienced workers should benefit more from the help of AI, we find the opposite — AI benefits workers with greater task-based experience. At the same time, senior workers, despite their greater experience, gain less from AI than their junior colleagues,” says Guodong (Gordon) Gao of Johns Hopkins Carey Business School, and study co-author.

Further investigation reveals that the relatively lower productivity lift from AI is not a result of seniority per se but rather their higher sensitivity to the imperfection of AI, which lowers their trust in AI.

“This finding presents a dilemma: Employees with greater experience are in a better position to leverage AI for productivity, but the senior employees who assume greater responsibilities and care about the organization tend to shy away from AI because they see the risks of relying on AI’s assistance. As a result, they are not effectively leveraging AI,” says Ritu Agarwal of Johns Hopkins Carey Business School, a co-author of the study.

The researchers urge employers to carefully consider different worker experience types and levels when introducing AI into the work. New workers with less task experience are disadvantaged in leveraging AI. Meanwhile, senior workers with more organizational experience may be concerned about the potential risks imposed by AI. Addressing these unique challenges are key to productive human-AI teaming.

“Our results show that even in 2050 going off-grid won’t be the most economic choice, but it could make sense to invest in these kinds of self-sufficient buildings if you are willing to pay more for self-sufficiency,” says lead author Max Kleinebrahm, an energy economics researcher at the Karlsruhe Institute of Technology in Germany.

Grid energy costs are rising while renewable energy technology is becoming more affordable. In pursuit of self-sufficiency, more and more households are showing interest in producing their own renewable energy supplies. Kleinebrahm’s team wanted to know how feasible it would be for individual residential buildings in different parts of Europe to become fully self-sufficient, and whether doing so would come with any financial benefits. Though the potential of converting Europe to 100% renewable energy has been considered at the continental, national, and regional scale, this study is the first analysis at the level of individual buildings.

To identify regions and building types that are more amenable to self-sufficiency, the researchers compiled a database of homes across Europe and identified 4,000 homes that were representative of different regions in terms of architecture, household electricity demand, climate conditions, and the local economic framework. Then, the researchers designed optimal energy systems for each representative home that would fully cover electrical and thermal energy needs while minimizing costs. These systems included measures such as rooftop solar panels, small wind turbines, different types of storage systems, heat pump installation, and retrofitting and insulation measures.

Next, the researchers scaled their results up to estimate the technical and economic feasibility of energy self-sufficiency for Europe’s 41 million freestanding single-family homes. Overall, they estimated that 53% of homes could have technically achieved energy self-sufficiency in 2020, and that this proportion could increase to 75% by 2050 with expected improvements in renewable energy and storage technologies. However, becoming fully self-sufficient was more expensive than remaining fully dependent on the grid, both in 2020 and 2050.

Homes in sunny European countries such as Cyprus, Malta, and Italy have more economic potential for self-sufficiency, while northern European countries such as Finland, Norway, and Sweden (where there is a large mismatch between high winter energy needs and solar radiation) have the lowest potential. Regions with larger rooftops, such as Denmark, Slovenia, the Netherlands, and France, also have greater potential for self-sufficiency. The researchers also noted that there is greater potential for self-sufficient buildings in countries with high on-grid electricity costs, such as Germany, since there is less financial incentive to remain on-grid.

Though becoming fully self-sufficient may not be economically advantageous, the researchers demonstrated that partial self-sufficiency — where a building remains connected to the electricity grid but also invests in a photovoltaic system, heat pump, and insulation — could lower household energy costs. The optimal degree of self-sufficiency varied for different buildings and regions, but for one representative building in Germany, the researchers estimated that it would have been cost-optimal to be 73% self-sufficient in 2020 and 78% self-sufficient in 2050.

The researchers note that high carrier costs make leaving the grid more appealing and say that policymakers and utility companies should encourage even fully self-sufficient households to remain connected to the grid. “At a macroeconomic scale it would be less efficient to have a large number of households abandoning the grid rather than supporting it,” says Kleinebrahm.

Since the costs of supporting the grid are shared amongst users, there is also the potential for grid costs to climb further as households choose to leave the grid. “From the social perspective, you have to consider the possibility that very rich households could go off grid, in which case the rest of the grid operation would have to be paid for by economically weaker households,” says Kleinebrahm.

This study is unable to answer questions about how the expanding number of self-sufficient homes would impact electricity demand and electricity markets, but the researchers plan to address those topics in future.

In recent years, some researchers have been puzzled upon finding that water in their experiments, which was held in a sponge-like material known as a hydrogel, was evaporating at a higher rate than could be explained by the amount of heat, or thermal energy, that the water was receiving. And the excess has been significant — a doubling, or even a tripling or more, of the theoretical maximum rate.

After carrying out a series of new experiments and simulations, and reexamining some of the results from various groups that claimed to have exceeded the thermal limit, a team of researchers at MIT has reached a startling conclusion: Under certain conditions, at the interface where water meets air, light can directly bring about evaporation without the need for heat, and it actually does so even more efficiently than heat. In these experiments, the water was held in a hydrogel material, but the researchers suggest that the phenomenon may occur under other conditions as well.

The findings are published this week in a paper in PNAS, by MIT postdoc Yaodong Tu, professor of mechanical engineering Gang Chen, and four others.

The phenomenon might play a role in the formation and evolution of fog and clouds, and thus would be important to incorporate into climate models to improve their accuracy, the researchers say. And it might play an important part in many industrial processes such as solar-powered desalination of water, perhaps enabling alternatives to the step of converting sunlight to heat first.

The new findings come as a surprise because water itself does not absorb light to any significant degree. That’s why you can see clearly through many feet of clean water to the surface below. So, when the team initially began exploring the process of solar evaporation for desalination, they first put particles of a black, light-absorbing material in a container of water to help convert the sunlight to heat.

Then, the team came across the work of another group that had achieved an evaporation rate double the thermal limit — which is the highest possible amount of evaporation that can take place for a given input of heat, based on basic physical principles such as the conservation of energy. It was in these experiments that the water was bound up in a hydrogel. Although they were initially skeptical, Chen and Tu starting their own experiments with hydrogels, including a piece of the material from the other group. “We tested it under our solar simulator, and it worked,” confirming the unusually high evaporation rate, Chen says. “So, we believed them now.” Chen and Tu then began making and testing their own hydrogels.

They began to suspect that the excess evaporation was being caused by the light itself — that photons of light were actually knocking bundles of water molecules loose from the water’s surface. This effect would only take place right at the boundary layer between water and air, at the surface of the hydrogel material — and perhaps also on the sea surface or the surfaces of droplets in clouds or fog.

In the lab, they monitored the surface of a hydrogel, a JELL-O-like matrix consisting mostly of water bound by a sponge-like lattice of thin membranes. They measured its responses to simulated sunlight with precisely controlled wavelengths.

The researchers subjected the water surface to different colors of light in sequence and measured the evaporation rate. They did this by placing a container of water-laden hydrogel on a scale and directly measuring the amount of mass lost to evaporation, as well as monitoring the temperature above the hydrogel surface. The lights were shielded to prevent them from introducing extra heat. The researchers found that the effect varied with color and peaked at a particular wavelength of green light. Such a color dependence has no relation to heat, and so supports the idea that it is the light itself that is causing at least some of the evaporation.

The researchers tried to duplicate the observed evaporation rate with the same setup but using electricity to heat the material, and no light. Even though the thermal input was the same as in the other test, the amount of water that evaporated never exceeded the thermal limit. However, it did so when the simulated sunlight was on, confirming that light was the cause of the extra evaporation.

Though water itself does not absorb much light, and neither does the hydrogel material itself, when the two combine they become strong absorbers, Chen says. That allows the material to harness the energy of the solar photons efficiently and exceed the thermal limit, without the need for any dark dyes for absorption.

Having discovered this effect, which they have dubbed the photomolecular effect, the researchers are now working on how to apply it to real-world needs. They have a grant from the Abdul Latif Jameel Water and Food Systems Lab to study the use of this phenomenon to improve the efficiency of solar-powered desalination systems, and a Bose Grant to explore the phenomenon’s effects on climate change modeling.

Tu explains that in standard desalination processes, “it normally has two steps: First we evaporate the water into vapor, and then we need to condense the vapor to liquify it into fresh water.” With this discovery, he says, potentially “we can achieve high efficiency on the evaporation side.” The process also could turn out to have applications in processes that require drying a material.

Chen says that in principle, he thinks it may be possible to increase the limit of water produced by solar desalination, which is currently 1.5 kilograms per square meter, by as much as three- or fourfold using this light-based approach. “This could potentially really lead to cheap desalination,” he says.

Tu adds that this phenomenon could potentially also be leveraged in evaporative cooling processes, using the phase change to provide a highly efficient solar cooling system.

Meanwhile, the researchers are also working closely with other groups who are attempting to replicate the findings, hoping to overcome skepticism that has faced the unexpected findings and the hypothesis being advanced to explain them.

The research team also included Jiawei Zhou, Shaoting Lin, Mohammed Alshrah, and Xuanhe Zhao, all in MIT’s Department of Mechanical Engineering.

Publishing a new report in Nature, University of California San Diego researchers, along with colleagues at The Scripps Research Institute and other institutions, have for the first time identified the genetic pathway between the heart and brain tied to fainting.

One of their unique approaches was to think of the heart as a sensory organ rather than the longstanding viewpoint that the brain sends out signals and the heart simply follows directions. School of Biological Sciences Assistant Professor Vineet Augustine, the paper’s senior author, applies a variety of approaches to better understand these neural connections between the heart and brain.

“What we are finding is that the heart also sends signals back to the brain, which can change brain function,” said Augustine. Information resulting from the study could be relevant to better understanding and treating various psychiatric and neurological disorders linked with brain-heart connections, the researchers note in their paper. “Our study is the first comprehensive demonstration of a genetically defined cardiac reflex, which faithfully recapitulates characteristics of human syncope at physiological, behavioral and neural network levels.”

Augustine, along with Biological Sciences Staff Research Associate Jonathan Lovelace and Graduate Student Jingrui Ma, the first authors of the paper, and their colleagues studied neural mechanisms related to Bezold-Jarisch reflex (BJR), a cardiac reflex first described in 1867. For decades researchers have hypothesized that the BJR, which features reduced heart rate, blood pressure and breathing, may be associated with fainting. But information lacked in proving the idea since the neural pathways involved in the reflex were not well known.

The researchers focused on the genetics behind a sensory cluster known as the nodose ganglia, which are part of the vagus nerves that carry signals between the brain and visceral organs, including the heart. Specifically, vagal sensory neurons, or VSNs, project signals to the brainstem and are thought to be associated with BJR and fainting. In their search for a novel neural pathway they discovered that VSNs expressing the neuropeptide Y receptor Y2 (known as NPY2R) are tightly linked to the well-known BJR responses.

Studying this pathway in mice, the researchers were surprised to find that when they proactively triggered NPY2R VSNs using optogenetics, a method of stimulating and controlling neurons, mice that had been freely moving about immediately fainted. During these episodes they recorded from thousands of neurons in the brains of the mice, as well as heart activity and changes in facial features including pupil diameter and whisking. They also employed machine learning in several ways to analyze the data and pinpoint features of interest. Once NPY2R neurons were activated, they found, mice exhibited rapid pupil dilation and the classic “eye-roll” seen during human fainting, as well as suppressed heart-rate, blood pressure and breathing rate. They also measured reduced blood flow to the brain, an area of collaboration with Professor David Kleinfeld’s laboratory in the UC San Diego Departments of Neurobiology and Physics.

“We were blown away when we saw how their eyes rolled back around the same time as brain activity rapidly dropped,” the researchers reported in a paper summary. “Then, after a few seconds, brain activity and movement returned. This was our eureka moment.”

Further testing showed that when NPY2R VSNs were removed from mice, the BJR and fainting conditions vanished. Previous studies had shown that fainting is caused by a reduction in brain blood flow, which the new study also found to be true, but the new evidence indicated that brain activity itself could be playing an important role. The findings therefore implicate the activation of the newly genetically identified VSNs and their neural pathways not only with BJR, but more centrally in overall animal physiology, certain brain networks and even behavior.

Such findings were difficult to tease out previously because neuroscientists study the brain and cardiologists study the heart, but many do so in isolation of the other. “Neuroscientists traditionally think the body just follows the brain, but now it is becoming very clear that the body sends signals to the brain and then the brain changes function,” said Augustine.

As a result of their findings, the researchers would like to continue tracking the precise conditions under which vagal sensory neurons are triggered into action.

“We also hope to more closely examine cerebral blood flow and neural pathways in the brain during the moment of syncope, to better understand this common but mysterious condition,” they note.

They also hope to use their research as a model to develop targeted treatments for fainting-associated conditions.

“About 60% of cats in the U.S. are overweight, which can lead to health problems such as diabetes and chronic inflammation. While many studies have investigated feline weight loss, there has been little focus on the opposite process, which is also important. In this study, we wanted to learn more about the metabolic and gastrointestinal changes that occur as a result of overeating and weight gain in cats,” says study co-author Kelly Swanson, professor in the Department of Animal Sciences and interim director of the Division of Nutritional Sciences (DNS), part of the College of Agricultural, Consumer and Environmental Sciences (ACES) at U. of I.

The study included 11 adult spayed female cats. They were fed a standard dry cat food and after two weeks of baseline measurements, they were allowed to eat as much as they wanted. The researchers collected blood and fecal samples at regular intervals and monitored physical activity.

Once the cats were able to overeat, they immediately increased their food intake substantially and started to gain weight. At the onset of the study, their average body condition score (BCS) was 5.41 on a 9-point scale. After 18 weeks of overfeeding, it had increased to 8.27, corresponding to being 30% overweight. BCS is equivalent to body mass index (BMI) for humans, and 6 or above is considered overweight, Swanson said.

The researchers analyzed changes in fecal output, gastrointestinal transit time, digestive efficiency (nutrient digestibility), and microbiota bacterial composition over the 20-week duration of the study.

“We found that as cats ate more and gained weight, gastrointestinal transit time was reduced, and so was digestive efficiency. When the body gets less food, it will be more efficient in extracting nutrients. But when the amount of food increases, it passes through the digestive system faster and fewer nutrients are extracted in the process,” Swanson explained.

The researchers also found significant changes in gut microbial composition between the lean cats at baseline and after 18 weeks of weight gain. The relative abundance of Bifidobacterium, which has antimicrobial activity, inhibits pathogens, and stimulates the immune system, increased, while Collinsella, which degrades fiber and has been linked to pro-inflammatory diseases, decreased. These results are opposite to what has been measured in overweight humans and suggest that their association to weight gain is complex, Swanson noted.

“The change in the gastrointestinal transit time was a novel finding and a potential reason for the change in fecal microbiota. Future studies should consider measuring transit time to better explain modifications to the microbiome of pets,” he added.

As the cats’ food consumption grew, so did their fecal output. In other words, as they ate more, they also pooped more. At the same time, fecal pH decreased, meaning that the stool became more acidic.

“In humans, a low fecal pH indicates poor absorption of carbohydrates and fat. Our findings correlate with this, as reduced fecal pH aligned with higher food intake and reduced digestibility,” Swanson said.

The researchers also measured the cats’ activity level with a monitor attached to a collar. The cats were housed in a group setting where they were able to interact with each other and play with toys, except for the days when stool samples were collected.

“We expected that weight gain might lead to decreased physical activity, but we did not observe any consistent changes in activity level. However, this could vary with individual cats and their environment, and how much their owners interact with them,” Swanson stated.

Understanding the metabolic and gastrointestinal changes that occur with weight gain and obesity in pets may help with future prevention and treatment plans, the researchers conclude.

Pet owners who want to help their cats lose weight can employ various strategies. In another new study, Swanson and his co-authors showed that restricted feeding can promote safe weight and fat loss in cats. The researchers also suggest pet parents encourage activity in their feline companions. For example, they can stimulate foraging by placing food around the home, or use food puzzles during mealtime to promote engagement and mental enrichment.

After the conclusion of the weight gain study, the 11 cats were put on a restricted-feeding diet that helped them return to normal weight.