Cross-Border Ecommerce Market Revenue Growth 2025, Emerging  openPR.com

Bacteria wouldn’t be so bad if we could tell them what to do. “Stop spreading! Stop sticking together! Stop fending off our antibiotics!” A new method is starting to allow scientists to do just that, letting them use light to control certain functions of bacteria. Introduced in a paper published in The European Physical Journal Plus, the preliminary approach could have several potential applications, including a possible avenue for combating antibiotic resistance.The Problem of Antibacterial Resistance Bacteria are behind a variety of diseases, from strep to staph to pneumonia and meningitis, and they attack our bodies in a variety of ways, as well, including through the production of toxins that damage and disrupt our cells. Some of these infections stop on their own, but others are too stubborn, or too serious, to leave untreated. These are the infections that we target with antibiotics — that is, as long as our antibiotics are working.But, because bacteria are constantly changing, they can develop defenses against the antibiotics that we use to stave them off, making these treatments much less effective. That’s the gist of the growing threat posed by antibiotic resistance, which has contributed to millions of deaths since 1990 and is anticipated to contribute to millions more by 2050. Setting out to find a new solution to this growing problem, scientists from the Italian Institute of Technology and the Polytechnic University of Milan embarked on the Engineering of Bacteria to See Light (EOS) project. The project aims to use light to control bacteria, primarily for the fight against antibiotic resistance. And the new method pushes the project closer to achieving that aim. Using light and light-sensitive molecules to adjust the electrical signals that are transmitted across the bacterial membrane, the method impacts the biological activity of bacteria without any alterations to their genetic makeup.“This interplay between light and electrical [signaling] allows us to control key biological processes such as movement, biofilm formation, and antibiotic sensitivity,” said Giuseppe Maria Paternò, a study author and a professor at the Polytechnic University of Milan, according to a press release. “We can influence antibiotic uptake and restore or even enhance the effectiveness of treatments against resistant strains.”Coating Bacteria to Curb Antibiotic ResistanceTo control bacteria, the method takes advantage of a light-sensitive molecule called Ziapin2, which sticks to the bacterial surface. By covering bacteria with this light-sensitive molecule and by subjecting the covered bacteria to light, the scientists were able to modify the electrical signals that were transmitted across their bacterial membranes, transforming the bacteria’s basic functioning. Testing their method on one of the most studied bacterial species, the scientists changed the electrical signaling across the membranes of Bacillus subtilis, a popular model organism that’s often used as a stand-in for Staphylococcus aureus, the bacterium that causes staphylococcus, or staph, infections.When tested, the method modulated the bacteria’s susceptibility to Kanamycin, an intracellular antibiotic that’s frequently used as a treatment for severe bacterial infections after other treatments fail. “Under blue light,” Paternò said in the release, “the effectiveness of Kanamycin was significantly reduced,” indicating that the electrical signaling on the bacterial membrane “plays a crucial role in the drug’s uptake.”Additional research is required to tailor the method to increase the effectiveness of Kanamycin and other antibiotics against bacteria. But for now, it seems that such an outcome could be possible. “This initial assessment […] represents a first step in a completely new field of study,” the scientists state in their paper. “This proof-of-concept study underscores the potential of non-genetic, light-based interventions to modulate bacterial susceptibility in real time. Future work will expand this approach […] ultimately advancing our understanding of bacterial bioelectric regulation and its applications in antimicrobial therapies.”This article is not offering medical advice and should be used for informational purposes only.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:The European Physical Journal Plus. Photocontrol of Bacterial Membrane Potential Regulates Antibiotic Persistence in B. SubtilisSam Walters is a journalist covering archaeology, paleontology, ecology, and evolution for Discover, along with an assortment of other topics. Before joining the Discover team as an assistant editor in 2022, Sam studied journalism at Northwestern University in Evanston, Illinois.

Jun 04, 2025Ravie Lakshmanan Threat Intelligence / Data Breach Google has disclosed details of a financially motivated threat cluster that it said "specialises" in voice phishing (aka vishing) campaigns designed to breach organizations' Salesforce instances for large-scale data theft and subsequent extortion. The tech giant's threat intelligence team is tracking the activity under the moniker UNC6040, which it said exhibits characteristics that align with threat groups with ties to an online cybercrime collective known as The Com. "Over the past several months, UNC6040 has demonstrated repeated success in breaching networks by having its operators impersonate IT support personnel in convincing telephone-based social engineering engagements," the company said in a report shared with The Hacker News. This approach, Google's Threat Intelligence Group (GTIG) added, has had the benefit of tricking English-speaking employees into performing actions that give the threat actors access or lead to the sharing of valuable information such as credentials, which are then used to facilitate data theft. A noteworthy aspect of UNC6040's activities involves the use of a modified version of Salesforce's Data Loader that victims are deceived into authorizing so as to connect to the organization's Salesforce portal during the vishing attack. Data Loader is an application used to import, export, and update data in bulk within the Salesforce platform. Specifically, the attackers guide the target to visit Salesforce's connected app setup page and approve the modified version of the Data Loader app that carries a different name or branding (e.g., "My Ticket Portal") from its legitimate counterpart. This action grants them unauthorized access to the Salesforce customer environments and exfiltrate data. Beyond data loss, the attacks serve as a stepping stone for UNC6040 to move laterally through the victim's network, and then access and harvest information from other platforms such as Okta, Workplace, and Microsoft 365. Select incidents have also involved extortion activities, but only "several months" after the initial intrusions were observed, indicating an attempt to monetize and profit off the stolen data presumably in partnership with a second threat actor. "During these extortion attempts, the actor has claimed affiliation with the well-known hacking group ShinyHunters, likely as a method to increase pressure on their victims," Google said. UNC6040's overlaps with groups linked to The Com stem from the targeting of Okta credentials and the use of social engineering via IT support, a tactic that has been embraced by Scattered Spider, another financially motivated threat actor that's part of the loose-knit organized collective. The vishing campaign hasn't gone unnoticed by Salesforce, which, in March 2025, warned of threat actors using social engineering tactics to impersonate IT support personnel over the phone and trick its customers' employees into giving away their credentials or approving the modified Data Loader app. "They have been reported luring our customers' employees and third-party support workers to phishing pages designed to steal credentials and MFA tokens or prompting users to navigate to the login.salesforce[.]com/setup/connect page in order to add a malicious connected app," the company said. "In some cases, we have observed that the malicious connected app is a modified version of the Data Loader app published under a different name and/or branding. Once the threat actor gains access to a customer's Salesforce account or adds a connected app, they use the connected app to exfiltrate data." The development not only highlights the continued sophistication of social engineering campaigns, but also shows how IT support staff are being increasingly targeted as a way to gain initial access. "The success of campaigns like UNC6040's, leveraging these refined vishing tactics, demonstrates that this approach remains an effective threat vector for financially motivated groups seeking to breach organizational defenses," Google said. "Given the extended time frame between initial compromise and extortion, it is possible that multiple victim organizations and potentially downstream victims could face extortion demands in the coming weeks or months." Found this article interesting? Follow us on Twitter  and LinkedIn to read more exclusive content we post. SHARE    

If you’re in the homebuying market, you’ve probably come to realize that the grass is always greener in the listing description—both literally and figuratively. Real estate agents sometimes get creative with Photoshop edits on listing photos, often brightening up the grass and editing out unsightly objects, like a neighbor’s clunker car or wires cluttering a bedroom. They also use some descriptive language that can be, well, deceptive. Adjectives like cozy and charming may evoke good feelings in potential buyers, but they’re high on the list of frequently used adjectives that probably don’t mean what you think they do. Photos and descriptions give you a teaser, but nothing beats an in-person tour for catching any potential sneaky details. Still, there are certain phrases to keep an eye out for as you're browsing for your next dream home online. Below, we're rounding up 10 common words or phrases often found in real estate listings should raise red flags, according to real estate pros. Related Stories“Charming”DreamPictures//Getty ImagesOr, similarly, unique. “Often, this means the property has some quirks that might not appeal to everyone,” real estate expert Yawar Charlie, director of the luxury estates division at Aaron Kirman Group, says. “It could be anything from a funky floor plan to unconventional finishes.” Think about resale value and whether any of these quirks might be a dealbreaker for future buyers, should you choose to sell“Cozy”Cozy is most likely a code word for lacking square footage, Charlie says. “When they call it cozy, they’re hinting that it might be a bit cramped,” he says. “Check for square footage and layout specifics.”“Home Being Sold As Is”"As is" is perhaps one of the biggest red flags in real estate. “It often signals that the property may have significant issues the seller is trying to offload,” says Nikki Bernstein, a global real estate advisor with Engel & Völkers Scottsdale.According to Bernstein, an "as is" condition indicates that the seller is likely emotionally detached and unwilling to negotiate on price or concessions. It also suggests they may be withholding information, indicating there could be hidden problems waiting to be uncovered during inspection, she says. “As is might as well be a warning: ‘Buyer beware,’” Bernstein says. “Fixer Upper”Mableen//Getty ImagesIf you’ve got a design-build background or are looking for homes that are worth renovating, a property advertised as a fixer-upper might make for a fun challenge. But this phrase usually means the property has seen better days and needs some TLC, which is not what most buyers are looking for. Charlie's advice? Bring a contractor or a handyman to the home inspection with you. “You’re not just checking for cosmetic issues; you want to get the lowdown on structural problems, electrical updates, and plumbing repairs,” Charlie says. “A fixer-upper can quickly turn into a money pit.”If you choose to pursue a home that needs a fair amount of love, make sure you’ve got the right loan, Virginia Realtor and real estate broker Michelle Brown cautions. For example, a FHA 203K loan lets buyers roll home improvement costs into their mortgage.“Investors’ Dream”This phrase typically signals the property is in poor condition but priced low for potential profit through renovations or redevelopment, Brown says. This is another instance where you’ll want to have a contractor with you to get a full picture of all the repairs that may be needed.“Make This Home Your Own”This phrase signals the home is likely outdated and in need of cosmetic updates at the very least, New Jersey Realtor Larry Devardo says. Listings that advertise “potential” or say “home has endless possibilities” are also indicators that repairs and updates are needed, he says. “Great Bones”DreamPictures//Getty ImagesOn the upside, “great bones” means the home is structurally sound with strong infrastructure, Maryland Realtor Ellie Hitt says. On the downside, it likely needs a lot of cosmetic updates to bring it up to date with modern conveniences and aesthetics.“Needs TLC”Often, when a home requires cosmetic work, “TLC” is noted, indicating the property needs someone who is willing to put in a little bit of elbow grease, agent Karen Kostiw of Coldwell Banker Warburg says. You may be thinking of new carpet, updated cabinets, and a few other touch-ups, but in some cases, TLC could actually mean the property requires a gut renovation.“Motivated Seller”Translation: The seller is eager to sell, possibly due to financial issues, a pending foreclosure, or a property that has been on the market for a while, says Jeffrey Borham, owner of Tampa Bay, Florida Team Borham. “This could be an opportunity for negotiation,” he adds. “However, investigate why the seller is motivated; there could be hidden issues that have deterred other buyers.”Similarly, “priced to sell” could mean a whole host of things, ranging from the property needs some work or the seller wants to start a bidding war, New York City Broker Sean Adu-Gyamfi of Coldwell Banker Warburg says.“Hot Listing”Some agents advertise “hot listings” on the MLS to create urgency, even if there are no other offers, Misty Spittler, a licensed public insurance adjuster and certified roof inspector, says. Don’t feel pressured, though. She recently had a client bid $20,000 over asking on a listing advertised as hot. Spittler’s inspection found $30,000 of necessary repairs, so the client was able to renegotiate.Follow House Beautiful on Instagram and TikTok.

Every item on this page was hand-picked by a House Beautiful editor. We may earn commission on some of the items you choose to buy.While some design-minded folks prefer the shiny, unmarked quality of newly made furniture and decor, others opt for the charm and history associated with vintage and antique treasures. Buying secondhand and locally is not only more sustainable, but it's a great way to avoid increased fees from recent tariff policies. There's never been a better time to invest in ready-made pieces that have seen decades (or even centuries) of history unfold. That said, discerning the true value of high-end antiques—whether it be a secretary desk whose top requires a bit of elbow grease to open or a Lalique bottle that bears a tiny chip in the base—is no easy feat. After all, if you don't know the ins and outs of this particular niche, you could very well get duped into overspending.To prepare you for your next outing to the antique shop, vintage store, or flea market, we asked experts in the field for their most helpful shopping tips. Here's what they had to say about sourcing decades-old treasures—without regretting your purchase later. Related Stories Buy From a Reputable Sourcetaikrixel//Getty Images"Fakes are really the rare outliers and not the norm in the world of antiques and vintage furniture," according to Anthony Barzilay Freund, editorial director and director of fine art at 1stDibs. He says that it's always best to investigate the reputation of individual dealers or browse a reputable online marketplace that sells only vetted and authenticated items. "When buying any piece of furniture that purports to be old, it's important that you are working with a reputable dealer who has a history of handling the type of material and a track record of participating in vetted fairs or selling on digital platforms such as 1stDibs that monitor inventory," Freund continues. That way, you can trust the info you're given. "You can perform your due diligence by asking the dealer to provide you with any information about the piece's provenance (who made it, where it was made, and who owned it over the years)."As for antique-hunting at thrift stores and flea markets, you may find a few quality pieces here and there. "And the more you look, the better able you'll be to discern quality," says Freund. So, browse often!Related StoryLook for a Maker’s MarkMany antiques from famed designers bear a stamp or signature indicating who made them—but many don't, and not all stamps can be trusted. "A piece that has a stamp may be an indication that it's by a specific designer, but there have been known cases in which some badly intentioned people use someone else's branding stamp to produce fakes," says Benoist F. Drut, owner of New York–based gallery Maison Gerard. The prolific 18th-century French designer George Jacobs, for instance, was famous for his iconic stamps, but even he didn't mark every piece he designed with a signature, so "you can't rely entirely on the stamp to prove authenticity," Drut says. That being said, he adds, "It's usually obvious if it's a real stamp and not a copy." Herman MillerIf there's an artist or design house you like, do some research first to uncover exactly what type of mark, if any, you should be seeking. For example, one of the most popular vintage pieces is the beloved Eames lounge chair. According to the brand, which still produces some of the designer's original designs, "Labels and stamps can be the best and the quickest method of authenticating your Eames design. It may also help you to date and value your piece." Every Eames piece, from the first designs from the early 1940s to the ones produced now, bears a label. The only exception is the fiberglass shell chair, each of which bears a stamp. Both the labels and stamps feature a series of letters and numbers that can help determine the exact age of the piece. Related StoryAsk for Provenance DocumentsThis may seem like the most straightforward step, but it's usually the least reliable for one key reason. "Pieces that are a few hundred years old move from place to place during their lifetime, and rarely do the papers follow them," Drut explains. In most cases, you simply have to decide whether or not you trust what the dealer is telling you to be true about a piece's provenance. Some items, however, do come with papers that can easily be authenticated. These pieces are typically ones that have been in the family's estate for generations. If such papers aren't available, he adds, a piece may also be listed in probate inventories or wills, so be sure to check everywhere.A piece with family provenance further helps validate its authenticity. In certain occasions, a piece may be seen in an early 20th-century black and white photograph or, in rare instances, in a daguerreotype.—Erik GronningRelated StoryDo Your Own ResearchBeeldbewerking//Getty ImagesIf you're considering an older piece, the dealer from whom you're buying it should have a general idea of the year or decade it was produced. With that information, do some digging about how similar pieces of furniture were made and with which types of materials. "Look at books about that time period and, if you can, visit museums," says Drut. "It doesn't take a professional to see all of the subtle details—such as the materials and techniques used—that indicate if it's authentic or not." Along the way, you might uncover some lesser-known designers whose pieces are still genuine works of art, but may be easier to find and more affordable to purchase. (If an Eames chair is out of your price range, for example, you might want to look into a Plycraft seat.)Related StoryPerform a “Run-Down”Before making a big-ticket purchase, ask the dealer what the piece is made of—the response will be another indicator of authenticity. Take chairs as an example."Plenty of chairs and sofas made today are filled with foam," says Drut. "An 18th-century chair, however, will be filled with horsehair, as foam was not invented until much later in the 20th century."You'll also want to observe where small marks or imperfections in the construction may bear the signature of a handcrafted (as opposed to mass-produced) item. "The process of making a piece of furniture using only hand tools leaves behind 'tool marks,'" says Erik Gronning, Sotheby's head of Americana. "Saws leave a mark called a saw kerf while planes leave plane marks, and modern electrical powered saws and planes also leave marks, but theirs are regular and not inconsistent as one sees with hand tools." Related Story Request Pre-Restoration PhotosGiorez//Getty Images"If the piece has been extensively cleaned and/or refinished," Freund advises, "ask to see pre-restoration photographs." Any reputable restorer regularly enlisted by antique dealers is likely to have a few on hand. Here's the thing about restorations: They're not a bad thing, and they're definitely not a reason to question a piece's authenticity or age. For instance, Drut says, if you're considering buying a 19th-century chair whose back leg is attached with glue, "that's because it's 200 years old and, without the glue, the chair may not be usable." Looking at an image of the chair before the glue was applied can reassure you that you're getting a strengthened original, not a fake. On the other hand, if you find a centuries-old piece that looks spotless, "How can you explain that? You can't," says Drut." An alleged antique that looks too good to be true probably is." Consider what an update may be concealing: "If something has been fully painted over, that often means that someone has something to hide. Stay away," says Drut. More specifically, Gronning adds that "18th- and early 19th-century pieces in their 'original' surface have a very dark or nearly black appearance that, to the untrained eye, could appear dirty or ratty, but it is this appearance that helps authenticate its age." If this is the case with an antique treasure you're considering, it's important to look at any perceived flaws as marks of character. "Antiques and vintage pieces have a patina and personality that one cannot find in a newly constructed object," Freund says. "Rather than viewing this as damage or wear and tear, antique lovers think signs of age give an object a visual interest, warmth, and uniqueness that really enhances the character of a room." Follow House Beautiful on Instagram and TikTok.

This study offers new hope for drug-free pain treatments, but further trials will need to verify its results.

How Deepfakes Are Created Generative AI models enable the creation of highly realistic fake media. Most deepfakes today are produced by training deep neural networks on real images, video or audio of a target person. The two predominant AI architectures are generative adversarial networks (GANs) and autoencoders. A GAN consists of a generator network that produces synthetic images and a discriminator network that tries to distinguish fakes from real data. Through iterative training, the generator learns to produce outputs that increasingly fool the discriminator¹. Autoencoder-based tools similarly learn to encode a target face and then decode it onto a source video. In practice, deepfake creators use accessible software: open-source tools like DeepFaceLab and FaceSwap dominate video face-swapping (one estimate suggests DeepFaceLab was used for over 95% of known deepfake videos)². Voice-cloning tools (often built on similar AI principles) can mimic a person’s speech from minutes of audio. Commercial platforms like Synthesia allow text-to-video avatars (turning typed scripts into lifelike “spokespeople”), which have already been misused in disinformation campaigns³. Even mobile apps (e.g. FaceApp, Zao) let users do basic face swaps in minutes⁴. In short, advances in GANs and related models make deepfakes cheaper and easier to generate than ever. Diagram of a generative adversarial network (GAN): A generator network creates fake images from random input and a discriminator network distinguishes fakes from real examples. Over time the generator improves until its outputs “fool” the discriminator⁵ During creation, a deepfake algorithm is typically trained on a large dataset of real images or audio from the target. The more varied and high-quality the training data, the more realistic the deepfake. The output often then undergoes post-processing (color adjustments, lip-syncing refinements) to enhance believability¹. Technical defenses focus on two fronts: detection and authentication. Detection uses AI models to spot inconsistencies (blinking irregularities, audio artifacts or metadata mismatches) that betray a synthetic origin⁵. Authentication embeds markers before dissemination – for example, invisible watermarks or cryptographically signed metadata indicating authenticity⁶. The EU AI Act will soon mandate that major AI content providers embed machine-readable “watermark” signals in synthetic media⁷. However, as GAO notes, detection is an arms race – even a marked deepfake can sometimes evade notice – and labels alone don’t stop false narratives from spreading⁸⁹. Deepfakes in Recent Elections: Examples Deepfakes and AI-generated imagery already have made headlines in election cycles around the world. In the 2024 U.S. primary season, a digitally-altered audio robocall mimicked President Biden’s voice urging Democrats not to vote in the New Hampshire primary. The caller (“Susan Anderson”) was later fined $6 million by the FCC and indicted under existing telemarketing laws¹⁰¹¹. (Importantly, FCC rules on robocalls applied regardless of AI: the perpetrator could have used a voice actor or recording instead.) Also in 2024, former President Trump posted on social media a collage implying that pop singer Taylor Swift endorsed his campaign, using AI-generated images of Swift in “Swifties for Trump” shirts¹². The posts sparked media uproar, though analysts noted the same effect could have been achieved without AI (e.g., by photoshopping text on real images)¹². Similarly, Elon Musk’s X platform carried AI-generated clips, including a parody “Ad” depicting Vice-President Harris’s voice via an AI clone¹³. Beyond the U.S., deepfake-like content has appeared globally. In Indonesia’s 2024 presidential election, a video surfaced on social media in which a convincingly generated image of the late President Suharto appeared to endorse the candidate of the Golkar Party. Days later, the endorsed candidate (who is Suharto’s son-in-law) won the presidency¹⁴. In Bangladesh, a viral deepfake video superimposed the face of opposition leader Rumeen Farhana onto a bikini-clad body – an incendiary fabrication designed to discredit her in the conservative Muslim-majority society¹⁵. Moldova’s pro-Western President Maia Sandu has been repeatedly targeted by AI-driven disinformation; one deepfake video falsely showed her resigning and endorsing a Russian-friendly party, apparently to sow distrust in the electoral process¹⁶. Even in Taiwan (amidst tensions with China), a TikTok clip circulated that synthetically portrayed a U.S. politician making foreign-policy statements – stoking confusion ahead of Taiwanese elections¹⁷. In Slovakia’s recent campaign, AI-generated audio mimicking the liberal party leader suggested he plotted vote-rigging and beer-price hikes – instantly spreading on social media just days before the election¹⁸. These examples show that deepfakes have touched diverse polities (from Bangladesh and Indonesia to Moldova, Slovakia, India and beyond), often aiming to undermine candidates or confuse voters¹⁵¹⁸. Notably, many of the most viral “deepfakes” in 2024 were actually circulated as obvious memes or claims, rather than subtle deceptions. Experts observed that outright undetectable AI deepfakes were relatively rare; more common were AI-generated memes plainly shared by partisans, or cheaply doctored “cheapfakes” made with basic editing tools¹³¹⁹. For instance, social media was awash with memes of Kamala Harris in Soviet garb or of Black Americans holding Trump signs¹³, but these were typically used satirically, not meant to be secretly believed. Nonetheless, even unsophisticated fakes can sway opinion: a U.S. study found that false presidential ads (not necessarily AI-made) did change voter attitudes in swing states. In sum, deepfakes are a real and growing phenomenon in election campaigns²⁰²¹ worldwide – a trend taken seriously by voters and regulators alike. U.S. Legal Framework and Accountability In the U.S., deepfake creators and distributors of election misinformation face a patchwork of tools, but no single comprehensive federal “deepfake law.” Existing laws relevant to disinformation include statutes against impersonating government officials, electioneering (such as the Bipartisan Campaign Reform Act, which requires disclaimers on political ads), and targeted statutes like criminal electioneering communications. In some cases ordinary laws have been stretched: the NH robocall used the Telephone Consumer Protection Act and mail/telemarketing fraud provisions, resulting in the $6M fine and a criminal charge. Similarly, voice impostors can potentially violate laws against “false advertising” or “unlawful corporate communications.” However, these laws were enacted before AI, and litigators have warned they often do not fit neatly. For example, deceptive deepfake claims not tied to a specific victim do not easily fit into defamation or privacy torts. Voter intimidation laws (prohibiting threats or coercion) also leave a gap for non-threatening falsehoods about voting logistics or endorsements. Recognizing these gaps, some courts and agencies are invoking other theories. The U.S. Department of Justice has recently charged individuals under broad fraud statutes (e.g. for a plot to impersonate an aide to swing votes in 2020), and state attorneys general have considered deepfake misinformation as interference with voting rights. Notably, the Federal Election Commission (FEC) is preparing to enforce new rules: in April 2024 it issued an advisory opinion limiting “non-candidate electioneering communications” that use falsified media, effectively requiring that political ads use only real images of the candidate. If finalized, that would make it unlawful for campaigns to pay for ads depicting a candidate saying things they never did. Similarly, the Federal Trade Commission (FTC) and Department of Justice (DOJ) have signaled that purely commercial deepfakes could violate consumer protection or election laws (for example, liability for mass false impersonation or for foreign-funded electioneering). U.S. Legislation and Proposals Federal lawmakers have proposed new statutes. The DEEPFAKES Accountability Act (H.R.5586 in the 118th Congress) would, among other things, impose a disclosure requirement: political ads featuring a manipulated media likeness would need clear disclaimers identifying the content as synthetic. It also increases penalties for producing false election videos or audio intended to influence the vote. While not yet enacted, supporters argue it would provide a uniform rule for all federal and state campaigns. The Brennan Center supports transparency requirements over outright bans, suggesting laws should narrowly target deceptive deepfakes in paid ads or certain categories (e.g. false claims about time/place/manner of voting) while carving out parody and news coverage. At the state level, over 20 states have passed deepfake laws specifically for elections. For example, Florida and California forbid distributing falsified audio/visual media of candidates with intent to deceive voters (though Florida’s law exempts parody). Some states (like Texas) define “deepfake” in statutes and allow candidates to sue or revoke candidacies of violators. These measures have had mixed success: courts have struck down overly broad provisions that acted as prior restraints (e.g. Minnesota’s 2023 law was challenged for threatening injunctions against anyone “reasonably believed” to violate it). Critically, these state laws raise First Amendment issues: political speech is highly protected, so any restriction must be tightly tailored. Already, Texas and Virginia statutes are under legal review, and Elon Musk’s company has sued under California’s law (which requires platforms to label or block deepfakes) as unconstitutional. In practice, most lawsuits have so far centered on defamation or intellectual property (for instance, a celebrity suing over a botched celebrity-deepfake video), rather than election-focused statutes. Policy Recommendations: Balancing Integrity and Speech Given the rapidly evolving technology, experts recommend a multi-pronged approach. Most stress transparency and disclosure as core principles. For example, the Brennan Center urges requiring any political communication that uses AI-synthesized images or voice to include a clear label. This could be a digital watermark or a visible disclaimer. Transparency has two advantages: it forces campaigns and platforms to “own” the use of AI, and it alerts audiences to treat the content with skepticism. Outright bans on all deepfakes would likely violate free speech, but targeted bans on specific harms (e.g. automated phone calls impersonating voters, or videos claiming false polling information) may be defensible. Indeed, Florida already penalizes misuse of recordings in voter suppression. Another recommendation is limited liability: tying penalties to demonstrable intent to mislead, not to the mere act of content creation. Both U.S. federal proposals and EU law generally condition fines on the “appearance of fraud” or deception. Technical solutions can complement laws. Watermarking original media (as encouraged by the EU AI Act) could deter the reuse of authentic images in doctored fakes. Open tools for deepfake detection – some supported by government research grants – should be deployed by fact-checkers and social platforms. Making detection datasets publicly available (e.g. the MIT OpenDATATEST) helps improve AI models to spot fakes. International cooperation is also urged: cross-border agreements on information-sharing could help trace and halt disinformation campaigns. The G7 and APEC have all recently committed to fighting election interference via AI, which may lead to joint norms or rapid response teams. Ultimately, many analysts believe the strongest “cure” is a well-informed public: education campaigns to teach voters to question sensational media, and a robust independent press to debunk falsehoods swiftly. While the law can penalize the worst offenders, awareness and resilience in the electorate are crucial buffers against influence operations. As Georgia Tech’s Sean Parker quipped in 2019, “the real question is not if deepfakes will influence elections, but who will be empowered by the first effective one.” Thus policies should aim to deter malicious use without unduly chilling innovation or satire. References: https://www.security.org/resources/deepfake-statistics/. https://www.wired.com/story/synthesia-ai-deepfakes-it-control-riparbelli/. https://www.gao.gov/products/gao-24-107292. https://technologyquotient.freshfields.com/post/102jb19/eu-ai-act-unpacked-8-new-rules-on-deepfakes. https://knightcolumbia.org/blog/we-looked-at-78-election-deepfakes-political-misinformation-is-not-an-ai-problem. https://www.npr.org/2024/12/21/nx-s1-5220301/deepfakes-memes-artificial-intelligence-elections. https://apnews.com/article/artificial-intelligence-elections-disinformation-chatgpt-bc283e7426402f0b4baa7df280a4c3fd. https://www.lawfaremedia.org/article/new-and-old-tools-to-tackle-deepfakes-and-election-lies-in-2024. https://www.brennancenter.org/our-work/research-reports/regulating-ai-deepfakes-and-synthetic-media-political-arena. https://firstamendment.mtsu.edu/article/political-deepfakes-and-elections/. https://www.ncsl.org/technology-and-communication/deceptive-audio-or-visual-media-deepfakes-2024-legislation. https://law.unh.edu/sites/default/files/media/2022/06/nagumotu_pp113-157.pdf. https://dfrlab.org/2024/10/02/brazil-election-ai-research/. https://dfrlab.org/2024/11/26/brazil-election-ai-deepfakes/. https://freedomhouse.org/article/eu-digital-services-act-win-transparency. The post The Legal Accountability of AI-Generated Deepfakes in Election Misinformation appeared first on MarkTechPost.

Omada Health updated its IPO prospectus on Thursday, indicating that it plans to raise up to $158 million in its offering.

A five-year study by Wageningen University and the German Primate Research Center found that wild chimpanzees in Guinea-Bissau repeatedly strike stones against trees, presumably as a form of communication. Phys.Org reports: Over the course of a five-year field study, the research team collected video footage at five distinct locations within a nature reserve in Guinea-Bissau. This was made possible through the use of camera traps and with essential support from local field guides. In specific areas, a striking behavioral pattern was observed: adult male chimpanzees repeatedly struck stones against tree trunks, resulting in characteristic piles of stones at the base of these trees. [...] The observations point to cultural transmission. Young chimpanzees adopt the behavior from older group members, indicating that it is learned socially rather than genetically inherited. Marc Naguib, Professor of Behavioral Ecology, underscores the broader significance of the discovery: "It illustrates that culture is not unique to humans and that such behaviors need to be considered also in nature conservation." The study is published in the journal Biology Letters. Read more of this story at Slashdot.