WWDC is always packed full of Apple software reveals, and this year the expected iOS, iPadOS, macOS updates and more might be joined by a brand new platform: homeOS. Here’s why. more…

Generative AI (genAI) adoption is outpacing corporate governance of the technology, with 75% of companies using genAI but only a third having responsible controls in place, according to consulting firm Ernst & Young (EY). Th

Social media outlet Reddit filed a lawsuit Wednesday against artificial intelligence company Anthropic, accusing the startup of illegally scraping millions of user comments to train its Claude chatbot without permission or compensation.

프린시펄 파이낸셜 그룹(Principal Financial Group, PFG)은 지난 몇 년 동안 AI 활용이 급증하면서 이를 종합적으로 관리할 수 있는 AI 거버넌스 전략과 이를 실행할 도구가 절실해졌다. PFG의 부사장 겸 최고 데이터 및 분석 책임자인 라제시 아로라는 “현재 자연어 처리, 머신러닝, 생성형 AI 모델 등 100건 이상의 AI 사용례를 운영 중이며, 이를 통해 사기 탐지, 보험

Most organizations struggle to make AI useful. Here's how data fragmentation, outdated platforms, and unstructured information are holding your AI efforts back, and what you can do about it.

Posted on : June 5, 2025 By Tech World Times AI  Rate this post Artificial intelligence tools now touch nearly every corner of modern business, from customer service and marketing to supply chain management and HR. These powerful technologies promise speed, accuracy, and insight, but their missteps can cause more than temporary inconvenience. A single AI-driven error can result in regulatory investigations, civil lawsuits, or public scandals that threaten the foundation of a business. Understanding how legal exposure arises from AI mistakes—and how a skilled attorney protects your interests—is no longer an option, but a requirement for any forward-thinking business owner. What Types of AI Errors Create Legal Liability? AI does not think or reason like a human; it follows code and statistical patterns, sometimes with unintended results. These missteps can create a trail of legal liability for any business owner. For example, an online retailer’s AI recommends discriminatory pricing, sparking allegations of unfair trade practices. An HR department automates hiring decisions with AI, only to face lawsuits for violating anti-discrimination laws. Even an AI-driven chatbot, when programmed without proper safeguards, can inadvertently give health advice or misrepresent product claims—exposing the company to regulatory penalties. Cases like these are regularly reported in Legal news as businesses discover the high cost of digital shortcuts. When Is a Business Owner Liable for AI Mistakes? Liability rarely rests with the software developer or the tool itself. Courts and regulators expect the business to monitor, supervise, and, when needed, override AI decisions. Suppose a financial advisor uses AI to recommend investments, but the algorithm suggests securities that violate state regulations. Even if the AI was “just following instructions,” the advisor remains responsible for client losses. Similarly, a marketing team cannot escape liability if their AI generates misleading advertising. The bottom line: outsourcing work to AI does not outsource legal responsibility. How Do AI Errors Harm Your Reputation and Operations? AI mistakes can leave lasting marks on a business’s reputation, finances, and operations. A logistics firm’s route-optimization tool creates data leaks that breach customer privacy and trigger costly notifications. An online business suffers public backlash after an AI-powered customer service tool sends offensive responses to clients. Such incidents erode public trust, drive customers to competitors, and divert resources into damage control rather than growth. Worse, compliance failures can result in penalties or shutdown orders, putting the entire enterprise at risk. What Steps Reduce Legal Risk From AI Deployments? Careful planning and continuous oversight keep AI tools working for your business—not against it. Compliance is not a “set it and forget it” matter. Proactive risk management transforms artificial intelligence from a liability into a valuable asset. Routine audits, staff training, and transparent policies form the backbone of safe, effective AI use in any organization. You should review these AI risk mitigation strategies below. Implement Manual Review of Sensitive Outputs: Require human approval for high-risk tasks, such as legal filings, financial transactions, or customer communications. A payroll company’s manual audits prevented the accidental overpayment of employees by catching AI-generated errors before disbursement. Update AI Systems for Regulatory Changes: Stay ahead of new laws and standards by regularly reviewing AI algorithms and outputs. An insurance brokerage avoided regulatory fines by updating their risk assessment models as privacy laws evolved. Document Every Incident and Remediation Step: Keep records of AI errors, investigations, and corrections. A healthcare provider’s transparency during a patient data mix-up helped avoid litigation and regulatory penalties. Limit AI Access to Personal and Sensitive Data: Restrict the scope and permissions of AI tools to reduce the chance of data misuse. A SaaS provider used data minimization techniques, lowering the risk of exposure in case of a system breach. Consult With Attorneys for Custom Policies and Protocols: Collaborate with experienced Attorneys to design, review, and update AI compliance frameworks. How Do Attorneys Shield Your Business From AI Legal Risks? Attorneys provide a critical safety net as AI integrates deeper into business operations. They draft tailored contracts, establish protocols for monitoring and escalation, and assess risks unique to your industry. In the event of an AI-driven incident, legal counsel investigates the facts, manages communication with regulators, and builds a robust defense. By providing training, ongoing guidance, and crisis management support, attorneys ensure that innovation doesn’t lead to exposure—or disaster. With the right legal partner, businesses can harness AI’s power while staying firmly on the right side of the law. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

Ahead of the TechEx North America event on June 4-5, we’ve been lucky enough to speak to Kieran Norton, Deloitte’s US Cyber AI & Automation leader, who will be one of the speakers at the conference on June 4th. Kieran’s 25+ years in the sector mean that as well as speaking authoritatively on all matters cybersecurity, his most recent roles include advising Deloitte clients on many issues around cybersecurity when using AI in business applications.The majority of organisations have in place at least the bare minimum of cybersecurity, and thankfully, in most cases, operate a decently comprehensive raft of cybersecurity measures that cover off communications, data storage, and perimeter defences.However, in the last couple of years, AI has changed the picture, both in terms of how companies can leverage the technology internally, and in how AI is used in cybersecurity – in advanced detection, and in the new ways the tech is used by bad actors.As a Considered a relatively new area, AI, smart automation, data governance and security all inhabit a niche at present. But given the growing presence of AI in the enterprise, those niches are set to become mainstream issues: problems, solutions, and advice that will need to be observed in every organisation, sooner rather than later.Governance and riskIntegrating AI into business processes isn’t solely about the technology and methods for its deployment. Internal processes will need to change to make best use of AI, and to better protect the business that’s using AI daily. Kieran draws a parallel to earlier changes made necessary by new technologies: “I would correlate [AI] with cloud adoption where it was a fairly significant shift. People understood the advantages of it and were moving in that direction, although sometimes it took them more time than others to get there.”Those changes mean casting the net wide, to encompass the update of governance frameworks, establishing secure architectures, even leveraging a new generation of specialists to ensure AI and the data associated with it are used safely and responsibly. Companies actively using AI have to detect and correct bias, test for hallucinations, impose guardrails, manage where, and by whom AI is used, and more. As Kieran puts it: “You probably weren’t doing a lot of testing for hallucination, bias, toxicity, data poisoning, model vulnerabilities, etc. That now has to be part of your process.”These are big subjects, and for the fuller picture, we advocate that readers attend the two talks at TechEx North America that Kieran’s to give. He’ll be exploring both sides of the AI coin – issues around AI deployment for the business, and the methods that companies can implement to deter and detect the new breed of AI-powered malware and attack vectors.The right use-casesKieran advocates that companies start with smaller, lower-risk AI implementations. While some of the first sightings of AI ‘in the wild’ have been chatbots, he was quick to differentiate between a chatbot that can intelligently answer questions from customers, and agents, which can take action by means of triggering interactions with the apps and services the business operates. “So there’s a delineation […] chatbots have been one of the primary starting places […] As we get into agents and agentic, that changes the picture. It also changes the complexity and risk profile.”Customer-facing agentic AI instances are indubitably higher risk, as a misstep can have  significant effects on a brand. “That’s a higher risk scenario. Particularly if the agent is executing financial transactions or making determinations based on healthcare coverage […] that’s not the first use case you want to try.”“If you plug 5, 6, 10, 50, a hundred agents together, you’re getting into a network of agency […] the interactions become quite complex and present different issues,” he said.In some ways, the issues around automation and system-to-system interfaces have been around for close on a decade. Data silos and RPA (robotic process automation) challenges are the hurdles enterprises have been trying to jump for several years. “You still have to know where your data is, know what data you have, have access to it […] The fundamentals are still true.”In the AI era, fundamental questions about infrastructure, data visibility, security, and sovereignty are arguably more relevant. Any discussions about AI tend to circle around the same issues, which throws into relief Kieran’s statements that a conversation about AI in the enterprise has to be wide-reaching and concern many of the operational and infrastructural underpinnings of the enterprise.Kieran therefore emphasises the importance of practicality, and a grounded assessment of need and ability as needing careful examination before AI can gain a foothold. “If you understand the use case […] you should have a pretty good idea of the ROI […] and therefore whether or not it’s worth the pain and suffering to go through building it.”At Deloitte, AI is being put to use where there is a clear use case with a measurable return: in the initial triage-ing of SOC tickets. Here the AI acts as a Level I incident analysis engine. “We know how many tickets get generated a day […] if we can take 60 to 80% of the time out of the triage process, then that has a significant impact.” Given the technology’s nascence, demarcating a specific area of operations where AI can be used acts as both prototype and proof of effectiveness. The AI is not customer-facing, and there are highly-qualified experts in their fields who can check and oversee the AI’s deliberations.ConclusionKieran’s message for business professionals investigating AI uses for their organisations was not to build an AI risk assessment and management programme from scratch. Instead, companies should evolve existing systems, have a clear understanding of each use-case, and avoid the trap of building for theoretical value.“You shouldn’t create another programme just for AI security on top of what you’re already doing […] you should be modernising your programme to address the nuances associated with AI workloads.” Success in AI starts with clear, realistic goals built on solid foundations.You can read more about TechEx North America here and sign up to attend. Visit the Deloitte team at booth #153 and drop in on its sessions on June 4: ‘Securing the AI Stack’ on the AI & Big Data stage from 9:20am-9:50am, and ‘Leveraging AI in Cybersecurity for business transformation’ on the Cybersecurity stage, 10:20am – 10:50am.Learn more about Deloitte’s solutions and service offerings for AI in business and cybersecurity or email the team at uscyberai@deloitte.com.(Image source: “Symposium Cisco Ecole Polytechnique 9-10 April 2018 Artificial Intelligence & Cybersecurity” by Ecole polytechnique / Paris / France is licensed under CC BY-SA 2.0.)

Drones Set To Deliver Benefits for Labor-Intensive Industries: Forrester By John P. Mello Jr. June 3, 2025 5:00 AM PT ADVERTISEMENT Quality Leads That Turn Into Deals Full-service marketing programs from TechNewsWorld deliver sales-ready leads. Segment by geography, industry, company size, job title, and more. Get Started Now. Aerial drones are rapidly assuming a key role in the physical automation of business operations, according to a new report by Forrester Research. Aerial drones power airborne physical automation by addressing operational challenges in labor-intensive industries, delivering efficiency, intelligence, and experience, explained the report written by Principal Analyst Charlie Dai with Frederic Giron, Merritt Maxim, Arjun Kalra, and Bill Nagel. Some industries, like the public sector, are already reaping benefits, it continued. The report predicted that drones will deliver benefits within the next two years as technologies and regulations mature. It noted that drones can help organizations grapple with operational challenges that exacerbate risks and inefficiencies, such as overreliance on outdated, manual processes, fragmented data collection, geographic barriers, and insufficient infrastructure. Overreliance on outdated manual processes worsens inefficiencies in resource allocation and amplifies safety risks in dangerous work environments, increasing operational costs and liability, the report maintained. “Drones can do things more safely, at least from the standpoint of human risk, than humans,” said Rob Enderle, president and principal analyst at the Enderle Group, an advisory services firm, in Bend, Ore. “They can enter dangerous, exposed, very high-risk and even toxic environments without putting their operators at risk,” he told TechNewsWorld. “They can be made very small to go into areas where people can’t physically go. And a single operator can operate several AI-driven drones operating autonomously, keeping staffing levels down.” Sensor Magic “The magic of the drone is really in the sensor, while the drone itself is just the vehicle that holds the sensor wherever it needs to be,” explained DaCoda Bartels, senior vice president of operations with FlyGuys, a drone services provider, in Lafayette, La. “In doing so, it removes all human risk exposure because the pilot is somewhere safe on the ground, sending this sensor, which is, in most cases, more high-resolution than even a human eye,” he told TechNewsWorld. “In essence, it’s a better data collection tool than if you used 100 people. Instead, you deploy one drone around in all these different areas, which is safer, faster, and higher resolution.” Akash Kadam, a mechanical engineer with Caterpillar, maker of construction and mining equipment, based in Decatur, Ill., explained that drones have evolved into highly functional tools that directly respond to key inefficiencies and threats to labor-intensive industries. “Within the manufacturing and supply chains, drones are central to optimizing resource allocation and reducing the exposure of humans to high-risk duties,” he told TechNewsWorld. “Drones can be used in factory environments to automatically inspect overhead cranes, rooftops, and tight spaces — spaces previously requiring scaffolding or shutdowns, which carry both safety and cost risks,” he said. “A reduction in downtime, along with no requirement for manual intervention in hazardous areas, is provided through this aerial inspection by drones.” “In terms of resource usage, drones mounted with thermal cameras and tools for acquiring real-time data can spot bottlenecks, equipment failure, or energy leakage on the production floor,” he continued. “This can facilitate predictive maintenance processes and [optimal] usage of energy, which are an integral part of lean manufacturing principles.” Kadam added that drones provide accurate field mapping and multispectral imaging in agriculture, enabling the monitoring of crop health, soil quality, and irrigation distribution. “Besides the reduction in manual scouting, it ensures more effective input management, which leads to more yield while saving resources,” he observed. Better Data Collection The Forrester report also noted that drones can address problems with fragmented data collection and outdated monitoring systems. “Drones use cameras and sensors to get clear, up-to-date info,” said Daniel Kagan, quality manager at Rogers-O’Brien Construction, a general contractor in Dallas. “Some drones even make 3D maps or heat maps,” he told TechNewsWorld. “This helps farmers see where crops need more water, stores check roof damage after a storm, and builders track progress and find delays.” “The drone collects all this data in one flight, and it’s ready to view in minutes and not days,” he added. Dean Bezlov, global head of business development at MYX Robotics, a visualization technology company headquartered in Sofia, Bulgaria, added that drones are the most cost and time-efficient way to collect large amounts of visual data. “We are talking about two to three images per second with precision and speed unmatched by human-held cameras,” he told TechNewsWorld. “As such, drones are an excellent tool for ‘digital twins’ — timestamps of the real world with high accuracy which is useful in industries with physical assets such as roads, rail, oil and gas, telecom, renewables and agriculture, where the drone provides a far superior way of looking at the assets as a whole,” he said. Drone Adoption Faces Regulatory Hurdles While drones have great potential for many organizations, they will need to overcome some challenges and barriers. For example, Forrester pointed out that insurers deploy drones to evaluate asset risks but face evolving privacy regulations and gaps in data standardization. Media firms use drones to take cost-effective, cinematic aerial footage, but face strict regulations, it added, while in urban use cases like drone taxis and cargo transport remain experimental due to certification delays and airspace management complexities. “Regulatory frameworks, particularly in the U.S., remain complex, bureaucratic, and fragmented,” said Mark N. Vena, president and principal analyst with SmartTech Research in Las Vegas. “The FAA’s rules around drone operations — especially for flying beyond visual line of sight [BVLOS] — are evolving but still limit many high-value use cases.” “Privacy concerns also persist, especially in urban areas and sectors handling sensitive data,” he told TechNewsWorld. “For almost 20 years, we’ve been able to fly drones from a shipping container in one country, in a whole other country, halfway across the world,” said FlyGuys’ Bartels. “What’s limiting the technology from being adopted on a large scale is regulatory hurdles over everything.” Enderle added that innovation could also be a hangup for organizations. “This technology is advancing very quickly, making buying something that isn’t instantly obsolete very difficult,” he said. “In addition, there are a lot of drone choices, raising the risk you’ll pick one that isn’t ideal for your use case.” “We are still at the beginning of this trend,” he noted. “Robotic autonomous drones are starting to come to market, which will reduce dramatically the need for drone pilots. I expect that within 10 years, we’ll have drones doing many, if not most, of the dangerous jobs currently being done by humans, as robotics, in general, will displace much of the labor force.” John P. Mello Jr. has been an ECT News Network reporter since 2003. His areas of focus include cybersecurity, IT issues, privacy, e-commerce, social media, artificial intelligence, big data and consumer electronics. He has written and edited for numerous publications, including the Boston Business Journal, the Boston Phoenix, Megapixel.Net and Government Security News. Email John. Leave a Comment Click here to cancel reply. Please sign in to post or reply to a comment. New users create a free account. Related Stories More by John P. Mello Jr. view all More in Emerging Tech

June 3, 20255 min readAre We Ready for Death in Space?NASA has quietly taken steps to prepare for a death in space. We need to ask how nations will deal with this inevitability now, as more people start traveling off the planetBy Peter Cummings edited by Lee Billings SciePro/Science Photo Library/Getty ImagesIn 2012 NASA stealthily slipped a morgue into orbit.No press release. No fanfare. Just a sealed, soft-sided pouch tucked in a cargo shipment to the International Space Station (ISS) alongside freeze-dried meals and scientific gear. Officially, it was called the Human Remains Containment Unit (HRCU). To the untrained eye it looked like a shipping bag for frozen cargo. But to NASA it marked something far more sobering: a major advance in preparing for death beyond Earth.As a kid, I obsessed over how astronauts went to the bathroom in zero gravity. Now, decades later, as a forensic pathologist and a perennial applicant to NASA’s astronaut corps, I find myself fixated on a darker, more haunting question:On supporting science journalismIf you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.What would happen if an astronaut died out there? Would they be brought home, or would they be left behind? If they expired on some other world, would that be their final resting place? If they passed away on a spacecraft or space station, would their remains be cast off into orbit—or sent on an escape-velocity voyage to the interstellar void?NASA, it turns out, has begun working out most of these answers. And none too soon. Because the question itself is no longer if someone will die in space—but when.A Graying CorpsNo astronaut has ever died of natural causes off-world. In 1971 the three-man crew of the Soviet Soyuz 11 mission asphyxiated in space when their spacecraft depressurized shortly before its automated atmospheric reentry—but their deaths were only discovered once the spacecraft landed on Earth. Similarly, every U.S. spaceflight fatality to date has occurred within Earth’s atmosphere—under gravity, oxygen and a clear national jurisdiction. That matters, because it means every spaceflight mortality has played out in familiar territory.But planned missions are getting longer, with destinations beyond low-Earth orbit. And NASA’s astronaut corps is getting older. The average age now hovers around 50—an age bracket where natural death becomes statistically relevant, even for clean-living fitness buffs. Death in space is no longer a thought experiment. It’s a probability curve—and NASA knows it.In response, the agency is making subtle but decisive moves. The most recent astronaut selection cycle was extended—not only to boost intake but also to attract younger crew members capable of handling future long-duration missions.NASA’s Space MorgueIf someone were to die aboard the ISS today, their body would be placed in the HRCU, which would then be sealed and secured in a nonpressurized area to await eventual return to Earth.The HRCU itself is a modified version of a military-grade body bag designed to store human remains in hazardous environments. It integrates with refrigeration systems already aboard the ISS to slow decomposition and includes odor-control filters and moisture-absorbent linings, as well as reversed zippers for respectful access at the head. There are straps to secure the body in a seat for return, and patches for name tags and national flags.Cadaver tests conducted in 2019 at Sam Houston State University have proved the system durable. Some versions held for over 40 days before decomposition breached the barrier. NASA even drop-tested the bag from 19 feet to simulate a hard landing.But it’s never been used in space. And since no one yet knows how a body decomposes in true microgravity (or, for that matter, on the moon), no one can really say whether the HRCU would preserve tissue well enough for a forensic autopsy.This is a troubling knowledge gap, because in space, a death isn’t just a tragic loss—it’s also a vital data point. Was an astronaut’s demise from a fluke of their physiology, or an unavoidable stroke of cosmic bad luck—or was it instead a consequence of flaws in a space habitat’s myriad systems that might be found and fixed? Future lives may depend on understanding what went wrong, via a proper postmortem investigation.But there’s no medical examiner in orbit. So NASA trains its crews in something called the In-Mission Forensic Sample Collection protocol. The space agency’s astronauts may avoid talking about it, but they all have it memorized: Document everything, ideally with real-time guidance from NASA flight surgeons. Photograph the body. Collect blood and vitreous fluid, as well as hair and tissue samples. Only then can the remains be stowed in the HRCU.NASA has also prepared for death outside the station—on spacewalks, the moon or deep space missions. If a crew member perishes in vacuum but their remains are retrieved, the body is wrapped in a specially designed space shroud.The goal isn’t just a technical matter of preventing contamination. It’s psychological, too, as a way of preserving dignity. Of all the “firsts” any space agency hopes to achieve, the first-ever human corpse drifting into frame on a satellite feed is not among them.If a burial must occur—in lunar regolith or by jettisoning into solar orbit—the body will be dutifully tracked and cataloged, treated forevermore as a hallowed artifact of space history.Such gestures are also of relevance to NASA’s plans for off-world mourning; grief and memorial protocols are now part of official crew training. If a death occurs, surviving astronauts are tasked with holding a simple ceremony to honor the fallen—then to move on with their mission.Uncharted RealmsSo far we’ve only covered the “easy” questions. NASA and others are still grappling with harder ones.Consider the issue of authority over a death and mortal remains. On the ISS, it’s simple: the deceased astronaut’s home country retains jurisdiction. But that clarity fades as destinations grow more distant and the voyages more diverse: What really happens on space-agency missions to the moon, or to Mars? How might rules change for commercial or multinational spaceflights—or, for that matter, the private space stations and interplanetary settlements that are envisioned by Elon Musk, Jeff Bezos and other tech multibillionaires?NASA and its partners have started drafting frameworks, like the Artemis Accords—agreements signed by more than 50 nations to govern behavior in space. But even those don’t address many intimate details of death.What happens, for instance, if foul play is suspected?The Outer Space Treaty, a legal document drafted in 1967 under the United Nations that is humanity’s foundational set of rules for orbit and beyond, doesn’t say.Of course, not everything can be planned for in advance. And NASA has done an extraordinary job of keeping astronauts in orbit alive. But as more people venture into space, and as the frontier stretches to longer voyages and farther destinations, it becomes a statistical certainty that sooner or later someone won’t come home.When that happens, it won’t just be a tragedy. It will be a test. A test of our systems, our ethics and our ability to adapt to a new dimension of mortality. To some, NASA’s preparations for astronautical death may seem merely morbid, even silly—but that couldn’t be further from the truth.Space won’t care of course, whenever it claims more lives. But we will. And rising to that grim occasion with reverence, rigor and grace will define not just policy out in the great beyond—but what it means to be human there, too.

If, like me, you’re slightly addicted to your astrology app and love checking your daily horoscope, you may have wondered just how much stock you should put into it. Allow me to tell you that it may be more revealing than you think. Sure, your zodiac sign can give you guidance on when to make a big move or when to save a certain conversation for a better, star-blessed date. But, did you know it can also help you decorate? That’s right. Your astrological sign can give you insight into what no-regret color you should choose for your kitchen, living room, bedroom or if you *actually* should go all in on maximalism (looking at you, Virgo). To answer all your decorating questions, we sat down with astrologer Sam Manzella to chat about the impact astrology can have on how you decorate your home and to find out what she thinks are the best paint colors for each astrology sign.Want even more astrology content? Check out these stories.Meet Our AstrologerSam Manzella is a Brooklyn-based astrologer and multi-award winning journalist. She practices a Hellenistic tradition, working from ancient frameworks, including the Whole Sign house system, sect, and traditional rulerships. Additionally, her practice is based around the planetary rulers that were visible to the naked eye in the age before telescopes, also called the seven core planets, meaning that the outer planets of Uranus, Neptune, and Pluto won't be making an appearance in this article. The Signs, Their Rulers, and Their Color FamiliesLet’s start with the basics: There are 12 signs in Western astrology. You’ve probably heard of them—think Aries, Cancer, Libra, etc. While most modern mainstream astrology focuses heavily on the signs, it’s actually their relationship to the planets that has the biggest impact on your day-to-day. “In astrology, planets, not zodiac signs, are the main players,” says Sam. This more nuanced and wholistic approach to astrology uses planets to determine what will happen, while signs only dictate the how. “Pop astrology often relies too heavily on zodiac sign archetypes, in my opinion,” says Sam. “Place a planet in a specific sign? Now we’re cooking, baby.”When it comes to matching up planets and colors, millennia of traditional associations guide the way. Sam’s color coordination is based on two works: The Complete Picatrix, a Medieval text on astrological magic, and Hellenistic Astrology: The Study of Fate and Fortune, a traditional astrology manual written by storied astrologer Chris Brennan. Below, we’ll break down the seven core planets, the signs that correspond with them, and their traditional color associations.MarsSigns: Aries, ScorpioColor Associations: Strong, aged shades of red and rust. VenusSigns: Taurus, LibraColor Associations: Sumptuous natural shades, such as greens, pinks, whites, and pastels.MercurySigns: Gemini, VirgoColor Associations: Orange is a good color for Mercury, but mixes of patterns and colors also works well for these Mercurial signs. SunSigns: LeoColor Associations: Classic sunny shades, such as golds and yellows. MoonSigns: CancerColor Associations: Silvery shades and crisp whites. JupiterSigns: Sagittarius, Pisces. Color Associations: A mix of royally influenced shades, such as purples, blues, and yellows. SaturnSigns: Capricorn, AquariusColor Associations: Dark and moody shades, such as browns, blacks, and grays. How Can You Use Astrology to Help You Decorate? The best place to start is at the very beginning. Sam’s advice? Call your mom. “I highly recommend calculating your full birth chart—to do so, you’ll need the exact date, time, and location of your birth.” This will give you the proper framework from which you can build your astrologically inspired home. Once you have your complete birth chart, look at your various planetary alignments. While your sun sign can tell you a lot about who you are, it’s actually your Venus placement that Sam recommends consulting. “This planet governs art, beauty, and romance—if it’s sweet, enjoyable, or aesthetically pleasing, then it probably falls under Venus’s purview. Whatever zodiac sign this planet occupies in your birth chart can tell you a lot about the vibes, color palettes, and visual aesthetics you gravitate toward.” Not sure you have all the information you need for a full birth chart? No worries, we’ve pulled together the best paint color for you based on your zodiac sign and planetary ruler below. If you want to dive a little deeper, Sam recommends checking out the planetary placement in your Fourth House. “The Fourth House represents our home and family life. Whatever planet rules this house, and its placement by zodiac sign, reflects the energy that feels like home to you.”The Best Paint Colors for Every Zodiac Sign: