Connect with us

AI Research

Why artificial intelligence artists can be seen as ‘builders’, ‘breakers’—or both at once – The Art Newspaper

Published

on


How do artists build in broken times? Is artificial intelligence (AI) unlocking a better world—curing diseases and transforming education—or unleashing our destruction? When hype and fear drown out nuance and discussion, perhaps in art we can find a quiet moment for reflection—even resistance.

After all, artists have long guided society through uncertainty—think Dada amid the First World War or Jikken Kōbō in Japan following the Second World War. They do not offer solutions so much as new responses: ways of expressing curiosity, imagining alternatives or holding room for ambiguity. As the critic Hal Foster recently described, two tendencies have historically emerged when art confronts crisis: one rooted in Constructivism, aiming to create new order; the other more chaotic, echoing Dada, amplifying disorder.

These historical impulses connect to the present day, mapping onto AI art. In this context, artists could be seen as builders and breakers. Builders imagine AI as a medium for collaboration and new aesthetics—even hope. Breakers critique, negate and disrupt. But leading makers and curators in the field see this as no simple dichotomy. Both offer strategies for reckoning with a world in flux.

Builders see possibilities

What motivates builders is not simply using the newest AI tool—or even fashioning their own from scratch. It is aligning multidisciplinary tools with concepts to produce works that were previously impossible—while urging us to imagine what else may soon be possible. Builders leverage AI to embrace the artistry of system creation, novel aesthetics and human-machine collaboration.

Take Sougwen Chung, the Chinese Canadian artist and researcher into human-machine collaboration. “I view technology not just as a tool but as a collaborator,” Chung says. Their work explores shared agency—even identity—between human and machine, code and gesture. In Mutations of Presence (2021), Chung collaborated with D.O.U.G._4, a custom-built robotic system driven by biofeedback: specifically, electroencephalogram signals captured during meditation and real-time body tracking. The resulting pieces reveal both performance and painting, a hybrid body co-authoring with machine memory. An elegant web of painterly gestures—some made via robotic arm, others by Chung’s hand—traces a kind of recursive duet.

I see combining AI and robotics with traditional creativity as a way to think more deeply about what is human and what is machine

Sougwen Chung, artist and researcher

The work demonstrates how Chung’s novel physical creations become interconnected with new conceptual frameworks—reframing authorship as a distributed, relational process with machines—inviting new forms of aesthetic exploration. It also reasserts a long-held, often feminist belief—dating back to Donna Haraway’s A Cyborg Manifesto (1985)—that the distinction between human and machine is illusory. As Chung puts it, “I see combining AI and robotics with traditional creativity as a way to think more deeply about what is human and what is machine.”

Chung’s intimacy with these systems goes further still: “I’ve started to see them as us in another form.” That is because they are trained as extensions to Chung’s very self. “I draw with decades of my own movement data or create proprioceptive mappings triggered by alpha [brain] waves. These systems don’t possess agency in a mystical sense but they reflect back our own: our choices, biases, knowledge.” This builder tendency aligns with earlier avant-gardes that saw technology as a path toward reordering the world, including the Bauhaus and aspects of the 1960s Experiments in Art and Technology movement. Builders are not naïve. They are aware of AI’s risks. But they believe that the minimum response is to participate in the conversation.

“My artistic practice is also driven by hope and an exploration of the promises and possibilities inherent in working with technology,” Chung says. Their vision affirms a cautious optimism through direct engagement with these tools.

Breakers see warning signs

Where builders see AI’s possibility, breakers see warning signs. Breakers are sceptics, critics, saboteurs. They distrust the power structures underpinning AI and its predilection for promoting systemic biases. They highlight how corporate AI models can be trained on scraped datasets—often without consent—while profits remain centralised. They expose how AI systems exacerbate ecological challenges only to promulgate aesthetic homogenisation.

In her work This is the Future, Hito Steyerl uses neural networks to imagine medicinal plants evolved to heal algorithmic addiction and burnout Photo: Mario Gallucci; courtesy of the artist; Andrew Kreps Gallery, New York and Esther Schipper, Berlin

They are also label resistant: “Breaking and building have become indistinguishable,” the German artist, thinker and archetypal breaker Hito Steyerl says. “The paradigm of creative destruction merges both in order to implement tech in the wild, without testing, thus externalising cost and damage to societies while privatising profit.”

Breakers do not emphasise AI’s aesthetic potential; they interrogate its extractive foundations, social asymmetries and the harms it makes visible. Breakers take a far bleaker view of AI’s impact on art than builders: “Art used to be good at testing, planning, playing, assessing, mediating, sandboxing. That element has been axed—or automated—within current corporate breakbuilding,” Steyerl says.

But in Steyerl’s own work, such as This is the Future (2019), the meticulous co-ordination, criticality and sceptical spirit are evident. The artist uses neural networks to imagine medicinal plants evolved to heal algorithmic addiction and burnout. The work shows how machine learning’s inner workings, prediction, can be weaponised, satirising techno-optimism while exposing AI’s entanglement with ecological and psychological ruin.

Christiane Paul, the long-time digital art curator at the Whitney Museum of American Art in New York, underscores these issues: “In terms of ethics and bias, every artist I know working in this field is deeply concerned. You need to keep that in mind and engage with it on the level of criticality—what you would call the breakers, highlighting how ethics filter in.” An extreme breaker might reject AI entirely. But Paul suggests that artists working with AI are essential precisely because they inhabit that edge where culture and ethics are encouraged: “Art in this field, using these tools, making them, building on and with them, is deeply needed.”

Breakers remind us that celebrating new tools without understanding their costs is a form of denial. Sometimes, to truly see a system, you have to dismantle it. That clarity brings insight—but contradictions as well.

Neither utopian nor dystopian

Is it really as simple as a builder-breaker duality? “My whole life, I’ve been very suspicious of dichotomies,” Paul says. Exploring the space between seeming contradictions can even be fertile creative ground. “A steering question for my work,” Chung says, “is ‘how do we hold fear and hope in our minds at the same time?’”

Steyerl, like a true breaker, rejects the contradiction to begin with: “Breaking is a cost-cutting element of building, taking out mediation; there is no more distinction between both.” Neither position suggests retreat. Instead, they ask us to face the paradox directly. Builder and breaker are not identities; they are strategies. The distinction is porous, performative. Most artists move fluidly between them or hold on to both at the same time.

Chung continues: “My art doesn’t strictly sit within either a utopian or dystopian camp. Instead, I actively navigate and explore the complex space between potential fears and hopes concerning technology and human-machine interaction.”

Michelle Kuo, the chief curator at large at the Museum of Modern Art in New York, says: “When artists intervene in existing technologies or systems, or take action in changing the outcome of technological development, they are not only building something—they are implicitly challenging the status quo.” Kuo links “builders” with “challenging the status quo”, reinforcing the roles’ fluidity. “It is this combination of challenge and experimentation that characterises some of the most exciting work at the intersection of art and AI today,” Kuo says. For her, the AI work that can achieve both breaking and building—challenge and experimentation—truly confronts our moment, neither retreating from technology nor surrendering to it.

Artists who speak out

So, what does this all mean for the viewer living through a future that arrived faster than we feel equipped to handle?

Artists take a tool and make it do something it’s not supposed to do. They don’t reject technology wholesale

Michelle Kuo, chief curator at large, Museum of Modern Art

It means active engagement with AI—even to break it. Kuo says: “Especially when the pace of change—of AI in particular—is even more accelerated than in previous eras, it is all the more crucial that artists and others outside the tech sector learn, test, speak up and act out.” Further, we might take cues from the artists engaging with AI themselves. Kuo describes what they do: “Artists take a tool and make it do something it’s not supposed to do. They don’t reject technology wholesale. They embrace it—and then make it strange.”

The best artists urge viewers to keep an open mind, slow down, appreciate nuance, accept ambiguity and recognise that we are a crucial part of the final outcome; they break, then build.

• Peter Bauman is editor-in-chief of the digital generative art institution Le Random



Source link

AI Research

AI is rewriting the rules of the insurance industry

Published

on


Despite its traditionally risk-averse nature, the insurance industry is being fundamentally reshaped by AI.

AI has already become vital for the insurance industry, touching everything from complex risk calculations to the way insurers talk to their customers. However, while nearly eight out of ten companies are dipping their toes in the AI water, a similar number admit it hasn’t actually made them any more money.

Such figures reveal a simple truth: just buying the fancy new tech isn’t enough. The real winners will be the ones who figure out how to weave it into the very fabric of who they are and everything they do.

You can see the most dramatic changes right at the heart of the business: handling claims. That mountain of paperwork and endless phone calls, a process that could drag on for weeks, is finally being bulldozed by AI.

A deployment by New York-based insurer Lemonade back in 2021 resulted in settling over a third of its claims in just three seconds, with no human input. Or look at a major US travel insurer that handles 400,000 claims a year; it went from a completely manual system to one that was 57% automated, cutting down processing times from weeks to just minutes.

However, this isn’t just about moving faster; it’s about getting it right. AI can slash the kind of costly human errors that lead to claims leakage in the insurance industry by as much as 30%. The knock-on effect is a huge productivity leap, with adjusters able to handle 40-50% more cases. This frees up the real experts to stop being paper-pushers and start focusing on the tricky cases where a human touch and genuine empathy make all the difference.

It’s a similar story for the underwriters, the people who calculate the risks. AI is giving them superpowers, letting them analyse colossal amounts of data from all sorts of places – like telematics or credit scores – that a person could never sift through alone. It can even draft an initial risk report with incredible accuracy by looking at past data and policies in the blink of an eye.

In practice, this helps create pricing that is fairer and more accurately reflects a person’s unique situation. Zurich, for example, used a modern platform to build a risk management tool that made their assessments 90% more accurate.

Suddenly, underwriting isn’t about looking in the rearview mirror anymore—it’s a living, breathing process that can adapt on the fly to new, complex threats like cyberattacks or the effects of climate change.

But this isn’t just about back-office wizardry. When deployed in the insurance industry, AI is completely changing the conversation between insurers and the people they serve. It’s allowing a move away from simply reacting to problems to proactively helping customers.

AI chatbots can offer 24/7 support, getting smarter with every question they answer. This lets the human team focus on the more difficult conversations. The real game-changer, though, is making things personal. 

By understanding a customer’s policy and behaviour, AI can gently nudge them with a renewal reminder or suggest a product that actually fits their life, like usage-based car insurance. It’s about showing customers you actually get them, which builds the kind of loyalty that’s been so hard to come by in an industry where over 30% of claimants feel dissatisfied, and 60% blame slow settlements.

This protective instinct also helps the whole system. AI is a brilliant fraud detective for the insurance industry and beyond, spotting weird patterns in data that a person would miss, and has the potential to cut fraud-related losses by up to 40%. It keeps everyone honest and protects the business and its customers.

What’s pouring fuel on this fire of change? A new breed of low-code platforms. They are the accelerators, letting insurers build and launch new apps and services much faster than before. In a world where customer tastes and rules can change overnight, that kind of speed is everything.

The best part of such tools is they democratise access and put the power to innovate into more hands. They allow regular business users – or ‘citizen developers’ – to build the tools they need without having to be coding geniuses. These platforms often come with strong security and controls, meaning this newfound speed doesn’t have to mean sacrificing safety or compliance, which is non-negotiable for an industry like insurance.

When you step back and look at the big picture, it’s clear that getting on board with AI isn’t just a tech project; it’s a make-or-break business strategy. Those who jumped in early are already pulling away from the pack, seeing things like a 14% jump in customer retention and a 48% rise in Net Promoter Scores. 

The market for this technology is set to explode to over $14 billion dollars by 2034, and some believe AI could add $1.1 trillion in value to the industry every year. But the biggest roadblocks aren’t about the technology itself; they’re about people and old habits.

Data, especially in an industry like insurance, is often stuck in old systems which stops AI from seeing the whole picture. To get past this, you need more than clever software. You need leaders with a clear vision, a willingness to change the company culture, and a commitment to training their people.

The winners in this new era won’t be the ones tinkering with AI in a corner—they’ll be the ones who lead from the top, with a clear plan to make it a part of their DNA. This will require an understanding that it’s not just about doing old things better, but about finding entirely new ways to bring value and build trust.

Learn more about how AI is rewriting the rules of the insurance industry at the upcoming webinar “From Complexity to Clarity: AI + Agility Layer for Intelligent Insurance” on July 16, 2025, at 7PM BST / 2PM ET. Industry experts from Appian and EXL will share real-world examples and practical insights into how leading carriers are implementing these technologies. Registration is available at the webinar link.

Featured speakers include:

  • Vikram Machado, Senior Vice President & Practice Leader – Life, Annuities, Retirements & Group Insurance, EXL
  • Vikrant Saraswat, Vice President – AI Consulting, EXL
  • Jack Moroney, Enterprise Account Executive – Insurance & Financial Services, Appian
  • Andrew Kearns, Insurance Industry Lead, Appian
  • Michaela Morari, Senior Solution Consultant – Insurance & Financial Services, Appian

See also: UK and Singapore form alliance to guide AI in finance



Source link

Continue Reading

AI Research

Clarivate Unveils Enhanced 2025 G20 Research, Innovation Scorecard with Expanded Data, AI Insights

Published

on


Clarivate (NYSE:CLVT) is one of the cheap IT stocks hedge funds are buying. On July 9, Clarivate released its annual 2025 G20 Research and Innovation Scorecard. This scorecard was developed by experts at the Institute for Scientific Information/ISI at Clarivate and provides a data-driven overview of the research and innovation capabilities of G20 member nations.

The 2025 scorecard now incorporates data from the Emerging Sources Citation Index/ESCI, which is a part of the Web of Science Core Collection, to provide a more comprehensive view of global research. The scorecard has been refined to better emphasize collaboration and impact, reflecting South Africa’s Ubuntu philosophy, the G20 host for 2025.

Clarivate Unveils Enhanced 2025 G20 Research, Innovation Scorecard with Expanded Data, AI Insights

A state-of-the-art computer lab filled with engineers working on new analytics technologies.

Dynamic visualizations are included to showcase each member’s research performance within their economic context and academic priorities. New additions also include OECD field-level breakdowns, insights into open access, and research aligned with Sustainable Development Goals (SDGs), highlighting how G20 nations are collaborating to address global challenges.

Clarivate (NYSE:CLVT) is an information services provider in the Americas, the Middle East, Africa, Europe, and the Asia Pacific.

While we acknowledge the potential of CLVT as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you’re looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.

READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now.

Disclosure: None. This article is originally published at Insider Monkey.



Source link

Continue Reading

AI Research

Louis Vuitton says UK customer data stolen in cyber-attack | Cybercrime

Published

on


Louis Vuitton has said the data of some UK customers has been stolen, as it became the latest retailer targeted by cyber hackers.

The retailer, the leading brand of the French luxury group LVMH, said an unauthorised third party had accessed its UK operation’s systems and obtained information such as names, contact details and purchase history.

The brand, which last week said its Korean operation had suffered a similar cyber-attack, told customers that no financial data such as bank details had been compromised.

“While we have no evidence that your data has been misused to date, phishing attempts, fraud attempts, or unauthorised use of your information may occur,” the email said.

The company said it had notified the relevant authorities, including the Information Commissioner’s Office.

The hack took place on 2 July, according to Bloomberg, which first reported the breach. It is the third breach of LVMH’s systems in the last three months.

As well as the two attacks on Louis Vuitton, LVMH’s second-largest fashion label, Christian Dior Couture, said in May that hackers had accessed some customer data.

On Thursday, four people were arrested as part of an investigation into cyber-attacks on Marks & Spencer, the Co-op and Harrods.

Those arrested were a 17-year-old British boy from the West Midlands, a 19-year-old Latvian man from the West Midlands, a 19-year-old British man from London and a 20-year-old British woman from Staffordshire.

M&S was the first retailer to be attacked, in April, in an incident that forced the closure of its online store for nearly seven weeks. The Co-op was attacked in the same month and forced to shut down parts of its IT system.

Harrods said on 1 May it had been targeted, and restricted internet access across its websites after attempts to gain unauthorised access to its systems.

The arrests came days after the M&S chair, Archie Norman, told MPs that two other large British companies had been affected by unreported cyber-attacks in recent months, as he gave details of the “traumatic” attack on the retailer.

Louis Vuitton has been approached for comment.



Source link

Continue Reading

Trending