Tech mogul Elon Musk on Thursday filed a lawsuit against OpenAI and its CEO Sam Altman, claiming the maker of generation AI juggernaut ChatGPT violated its founding mission to develop artificial intelligence safely and in an open-source environment. Musk, who was a founder of OpenAI in 2015 along with Altman and Greg Brockman, left the company in 2018 after saying the technology was “potentially more dangerous than nukes.” After Musk’s departure, OpenAI restructured and formed a for-profit arm, gaining major backing from Microsoft, which pledged more than $10 billion to bolster GenAI efforts. The lawsuit also takes aim at the company’s efforts with artificial general intelligence (AGI), which would advance AI research to create human-like intelligence and the ability to self-teach. “To this day, OpenAI, Inc.’s website continues to profess that its charter is to ensure that AGI benefits all of humanity. In reality, however, OpenAI, Inc. has been transformed into a closed-source de facto subsidiary of the largest technology company in the world: Microsoft,” according to the lawsuit. OpenAI’s Altman was briefly fired by its board of directors in November. Just days later after Microsoft intervened, Altman was reinstated, and new board members were named. Microsoft scored a non-voting, “advisory” seat on the board. Related:OpenAI’s Dysfunctional Thanksgiving: 5 Key Players in Coup Drama “Under its new Board, [OpenAI] is not just developing but is actually refining an AGI to maximize profits for Microsoft, rather than for the benefit of humanity,” the lawsuit stated. Musk’s lawsuit marks the latest in a string of legal woes for Open AI, including other lawsuits concerning the company’s use of copyrighted material and an ongoing investigation by the Federal Trade Commission focused on its investments and partnerships. Last year, Musk signed an open letter alongside many technology luminaries calling for a pause on GenAI research. That didn’t stop Musk from launching his own GenAI service, Grok, a large language model trained on posts from Musk’s X platform, (formerly Twitter). Manoj Saxena, founder and chairman of the Responsible AI Institute (RAI Institute), tells InformationWeek in an interview that Musk’s lawsuit could force a very important conversation. “I do believe that deep inside, Elon has a real point of view and concern,” Saxena says. “I saw it both as a brilliant and a reckless move to launch ChatGPT. There’s no doubt it was the ‘iPhone moment’ of the AI industry. But there are still a lot of parts that need to be put in place and as messy as it is, this is a conversation that needs to be had.” Related:FTC GenAI Probe Hits Google, Amazon, OpenAI, Microsoft and Anthropic Saxena likens AI safety to the car industry’s history creating safeguards. “But in this case, we don’t have 50 years,” he warns. InformationWeek has reached out to OpenAI, Microsoft, and Musk’s attorneys and will update with any response. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new study reveals that generative AI has rapidly transformed from an experimental technology to an essential business tool, with adoption rates more than doubling in 2024.  The research, conducted by AI at Wharton, a research center at the Wharton School of the University of Pennsylvania, in partnership with GBK Collective, provides a comprehensive look at AI’s integration across American businesses. The research team surveyed more than 800 enterprise decision-makers across the United States, examining AI adoption patterns, investment trends, and organizational impacts. The study, titled “Growing Up: Navigating Gen AI’s Early Years,” compared data from 2023 to 2024, tracking changes in usage patterns, departmental adoption, and employee attitudes. Key Findings: • Weekly AI usage among business leaders surged from 37% to 72% • Organizations reported a 130% increase in AI spending since 2023 • 72% of companies are planning additional AI investments in 2025 • 90% of leaders now believe AI enhances employee skills (up from 80%) • Concerns about AI-related job displacement decreased from 75% to 72% • 58% of organizations rated AI’s performance as “great” “The most interesting things that come out of the survey is this snapshot of how corporates are feeling, thinking and implementing Gen AI, and how that is changing quite rapidly,” Stefano Puntoni, Sebastian S. Kresge Professor of Marketing at the Wharton School and co-director of AI at Wharton told VentureBeat. “This year, what we’re seeing is that people are less curious, they are more excited, they’re less scared and there is a more belief that these are tools that are going to augment human expertise.” Investment surge for enterprise AI is a ‘gold mine’ for consultants The research shows a dramatic increase in organizational spending on generative AI, with over 40% of companies now investing more than $10 million in the technology. This represents a significant shift from the previous year when the typical investment range was between $1-5 million. What is perhaps even more interesting than the rise in spending, is understanding where the money is going. “About a third of the money is spent on tech,” explained Puntoni. “But that’s actually a minority of all the money that is pouring into Gen AI.”  The remaining investment is distributed across training and upskilling the existing workforce, onboarding new employees and consulting services. While much of the hype and news in generative AI in 2024 has been about the technology, that’s not the differentiator for many enterprises at this point. “The technology itself is more or less a commodity. meaning, you know, my ChatGPT is as good as your ChatGPT and so the differentiation is largely going to come from the integration of the technology and business processes,” he said. “There’s no template, there’s no blueprint,  people will have to experiment and learn.” Puntoni actually expects that consultants, at least in the short term, will be the big winners in the AI gold rush. In his view, the technology part of generative AI is increasingly becoming commoditized. “I think we’re going to see a protracted period of experimentation, learning new business models and new ways of organizing business functions,” Puntoni said. “It’s a gold mine for consultants And I think this is not going to run out of gold anytime soon.” Small and mid-sized companies lead the way in AI An unexpected finding reveals that smaller organizations are currently ahead in AI adoption compared to their larger counterparts. The study defines smaller organizations as those with revenue between $50 million to $250 million and mid-sized as $250 million to $2 billion. “We still see a difference between smaller organizations and large organizations in reported adoption, as well as less restrictive uses within the organization for experimentation,” Jeremy Korst, Partner with GBK Collective, told VentureBeat.  Korst suggests this could lead to interesting competitive dynamics. That is if the smaller organizations are actually able to find not only cost efficiencies and productivity, but new business models and capabilities, overall competition could increase. Korst said in that situation smaller groups might be able to compete differently and more effectively with some of their larger organizations. What organizations should be doing now to improve enterprise AI outcomes Despite the increased adoption, organizations face several challenges in implementing AI effectively. The study highlights issues around data governance and security, with concerns about unintended data leakage within organizations even when using enterprise-grade AI tools. The research also indicates that while the adoption curve for generative AI has been unprecedented in its speed, organizations are now entering a more mature phase focused on practical implementation and return on investment “I think that organizations ought to be learning, I don’t think there is a way in which you’re going to be successful in the future unless you make a concerted, serious effort to see how this technology can help you,” Puntoni said. source

By Lauren Berg ( October 25, 2024, 11:04 PM EDT) — When cybersecurity firm CrowdStrike implemented “untested and faulty updates” to its software, knocking out computers with Microsoft Windows operating systems worldwide, Delta Air Lines’ operations were crippled, costing it $500 million as thousands of flights were canceled, according to the airline’s lawsuit lodged Friday in Georgia state court…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Deepfakes are a clear and present danger to businesses. According to Markets and Markets, the deepfake market will balloon from $564 million in 2024 to $5.1 billion by 2030, which represents a 44.5% compound annual growth rate.   Deepfakes represent several types of threats including corporate sabotage, enhanced social engineering attacks, identity spoofing, and more. More commonly, bad actors use deepfakes to increase the effectiveness of social engineering.  “It’s no secret that deep fakes are a significant concern for businesses and individuals. With the advancement of AI-generated fakes, organizations must spot basic manipulations and stay ahead of techniques that convincingly mimic facial movements and voice patterns,” says Chris Borkenhagen, chief digital officer and chief information security officer at identity verification and fraud prevention solutions provider AuthenticID, in an email interview. “Detecting deep fakes requires advanced machine learning models, behavioral analysis, and forensic tools to identify subtle inconsistencies in images, videos, and audio. Mismatches in lighting, shadows, and eye movements can often expose even the most convincing deep fakes.”  Organizations should leverage visual and text fraud algorithms that utilize deep learning to detect anomalies in the data underpinning deepfakes. This approach should go beyond surface-level detection to analyze content structure for signs of manipulation.  Related:What CIOs Can Learn from an Attempted Deepfake Call “The responsibility for detecting and mitigating deep fake threats should be shared across the organization, with CISOs leading the way. They must equip their teams with the right tools and training to recognize deep fake threats,” Borkenhagen says. “However, CEO and board-level involvement is important, as deep fakes pose risks that extend beyond fraud. They can damage a brand’s reputation and compromise sensitive communications. Organizations must incorporate deep fake detection into their broader fraud prevention strategies and stay informed about the latest advancements in AI technologies and detection tools.”  Chris Borkenhagen, AuthenticID As deep fakes become more sophisticated, organizations must be prepared with both advanced detection tools and comprehensive response strategies.   “AI-powered solutions like Reality Defender and Sensity AI play a key role in detecting manipulated content by identifying subtle inconsistencies in visuals and audio,” says Ryan Waite, adjunct professor at Brigham Young University-Hawaii and VP of public affairs at digital advocacy firm Think Big. “Tools like FakeCatcher go further, analyzing physiological markers such as blood flow in the face to identify deep fakes. Amber Authenticate adds another layer of security by verifying the authenticity of media files through cryptographic techniques.”  Related:California’s New Deepfake Laws Await Test of Enforcement Deep fake detection should be a priority, with CISOs, data science teams, and legal departments working together to manage these technologies. In addition to detection, companies must implement a deep fake response strategy, he says. This involves:  Having clear protocols for identifying, managing, and mitigating deep fakes. Training employees to recognize manipulated content. Making sure the C-suite understands the risks of impersonation, fraud and reputational damage, and plan accordingly. Staying informed on evolving AI and deep fake legislation is critical. As regulatory frameworks develop, companies must be proactive in ensuring compliance and safeguarding their reputation.   “Combining cutting-edge tools, a robust response strategy, and legislative awareness is the best defense against this growing threat,” says Waite.  How Deepfakes Facilitate Social Engineering  Deepfakes are being used in elaborate scams against businesses by threat actors leveraging synthetic videos, audio, and images to enhance their social engineering attacks, like Business Email Compromise (BEC) and phishing techniques. The use of AI has also made it incredibly easy to produce a deepfake and spread it far and wide. Moreover, there is a wealth of readily available tools on the dark web.  Related:How to Protect Your Enterprise from Deepfake Damage “We have seen evidence of deepfake videos being used in virtual meetings and audio in voicemail or live conversations, deceiving targets into revealing sensitive information or clicking malicious links,” says Azeem Aleem, managing director client leadership, EMEA and managing director of Northern Europe. Financial services firms are especially worried about the use of AI or generative-AI fraud, with Deloitte Insights showing a 700% rise in deepfake incidents in fintech in 2023.”  Other examples of deepfake techniques include “vishing” (voice phishing), Zoom bombing and biometric attacks.  “Hackers are now combining email and vishing with deepfake voice technology, enabling them to clone voices from just three seconds of recorded speech and conduct highly targeted social engineering fraud,” says Aleem. “This evolution makes it possible for attackers to impersonate C-level executives using their cloned voices, significantly enhancing their ability to breach corporate networks.”  Zoom bombing occurs when uninvited guests disrupt online meetings or when attackers impersonate trusted individuals to infiltrate meetings. There are also biometric attacks.  “Businesses frequently use biometric authentication systems, such as facial or voice recognition, for employee verification,” says Aleem. “However, deepfake technology has advanced to the point where it can deceive these systems to bypass customer verification processes, including commands like blinking or looking in specific directions.”  According to accounts payable automation solution provider, Medius, 53% of businesses in the US and UK have been targets of a financial scam powered by deepfake technology, with 43% falling victim to such attacks.   “Beyond BEC, attackers use deepfakes to create convincing fake social media profiles and impersonate individuals in real-time conversations, making it easier to manipulate victims into compromising their security,” says Aleem. “It’s not necessarily targeted, but it does prey on natural vulnerabilities like human-error and fear. As AI applications develop, deepfakes can be produced to also request profile changes with agents and train voice bots to mimic IVRs. These deepfake voice techniques allow attackers to navigate IVR systems and steal basic account details, increasing the risk to organizations and their customers.”  The business risk is potential fraud, extortion, and market manipulation.  “Deepfakes are disrupting various industries in profound ways. Call centers at banks and financial institutions are grappling with deepfake voice cloning attacks aimed at unauthorized account access and fraudulent transactions,” says Aleem. “In the insurance sector, deepfakes are exploited to submit false evidence for fraudulent claims, causing significant financial losses. Media companies suffer reputational damage

He cites as an example his work with one manager who was great at the nuts and bolts but needed to work on becoming a better leader by honing communication and change management skills. The manager wasn’t able to exceed expectations until he built up his leadership capabilities. 9. They’re aiming for speed (above all else) IT must work to keep up with the rapid pace of technology advancement and innovation, yet IT managers can miss the mark if they overly index for speed. “Sometimes [managers] are in such a hurry to get things done that they don’t take the time they need to get clarity, to get all the stakeholders on the bus to accomplish things all together and instead leave people on the side of the road,” Bonfante says. “They move fast but end up in the wrong spot.” Consequently, the managers get praise for velocity but rebukes for failing to hit objectives, he adds. Managers (and their own supervisors and CIOs) can still prioritize speed, of course, Bonfante says. But everyone needs to invest the time required to set the compass on the right course before speeding off. “That’s an issue with the organization’s culture, not just a manager’s decision,” he adds. 10. They’re not yet true leaders IT has shed its reputation as a back-office function and is now integral to business success, but many IT managers still lack the fundamental business skills needed to succeed, says Craig Stephenson, global head of the tech, ops, data/AI, and infosec officers practice at management consulting firm Korn Ferry. They’re not effective listeners. They don’t communicate ideas as articulately as they should. They can’t influence others or effectively manage stakeholders. And they can’t create mission and purpose for their teams. “It could be that they’re not getting the support internally they need or haven’t developed or trained in terms of people leadership,” Stephenson says. Such deficits can ding their performance reviews. But, like other shortfalls in management capabilities, these can be overcome with training and development such as rotational tours of duty through business units, Stephenson says. source

While we haven’t talked too much about Amazon Business over the years, it’s been a quiet giant that already generates over $35 billion in global sales after launching in 2015. That would make it the 300th largest company in the world with more than 10% of Amazon’s online retail business. It’s one of the “fastest-growing ventures in Amazon’s history,” and its size nearly doubles the company’s physical-store business. When we think about the next phase of Amazon retail, it’s really B2B. The company’s recent Reshape event in Dallas for users and partners answered a lot about this large and fast-growing part of the company. Here’s what I learned about this formidable part of Amazon. What Is Amazon Business, Really? It’s easy to think of Amazon Business as a better version of an office supply store like Staples, but that would be selling it short. Yes, it does sell a lot of pens and office supplies (BIC and Uniball were two of Reshape’s biggest sponsors). But just as Amazon.com is way more than books, Amazon Business is much more than a single category. It serves 6 million business accounts around the world with everything imaginable, from medical devices for hospitals and doctor’s offices to packaging and paper supplies for restaurant groups and toner cartridges for schools. The Amazon Business Superpower: Physically And Financially Large Shipments Of Supplies That Ride Amazon’s Fulfillment Network To Commercial Addresses Amazon Business is the polar opposite of Amazon.com, which was built on small one-off transactions to consumers everywhere in the US and much of the world, in turn helping to ingrain the brand in the minds of shoppers everywhere. By contrast, Amazon Business leverages: Large shipments. Amazon is often delivering pallets to enterprise customers such as Aramark. Amazon’s fulfillment network. Amazon already has a dense warehouse footprint, predictive shipping capabilities, and an offering to provide those services to marketplace sellers. Commercial addresses. Amazon is able to use large trucks that pull into loading docks, drop off those pallets, and get the “delivery density” critical for carrier efficiency. This is the dream of any carrier. It even restocks vending machines, which I would bet — with Amazon’s creativity — that the company may make even more efficient with Flex drivers. And that was the key message of the Reshape event: Amazon Business is targeting large enterprises and embedding itself in major procurement systems such as Coupa to bring its commerce flywheel to B2B purchases. As Amazon Business encroaches on enterprise customers with more business purchases, it will invariably need the sales leads and contacts from its AWS business, possibly selling overlapping products and services in the future. Internal channel conflict is a feature — not a bug — of Amazon’s org structure as it empowers small teams to move fast to build new businesses. Where To Next For Amazon Business — And B2B E-Commerce? Given the still-behind state of most other B2B e-commerce sites, Amazon Business may not even need enterprise companies for a while. Today, Amazon Business stands out as a juggernaut with an inherent competitive advantage just with small and medium enterprises. It reminds me of its position in the online advertising world with Amazon Ads. It wouldn’t be surprising if the attention it gets in the future is just as great. Going forward, brands selling to procurement leaders will have no choice but to develop their Amazon Business strategy. Other companies should think of the lessons of Amazon Business: how to leverage existing assets to effectively extend to new categories rapidly. To discuss Amazon Business and what it could mean for your business, please schedule time with Joe Cicman, Christina Schmitt, or me. source

Best overall CRM with project management: HubSpot Best for activity and performance tracking: monday CRM Best for project templates: Pipedrive Best for portfolio management: ClickUp Best for team collaboration: Bitrix24 When a CRM solution is described as having project management functionality, that means the software can monitor all ongoing communication, campaigns, client-based operations, and task assignments—in addition to client relationship management and data collection. These CRM manage both client and project management features in order to help foster collaboration and transparency between sales, marketing, and operational departments. 1 monday CRM Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features Calendar, Collaboration Tools, Contact Management, and more 2 HubSpot CRM Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Micro (0-49 Employees), Medium (250-999 Employees), Large (1,000-4,999 Employees), Small (50-249 Employees) Micro, Medium, Large, Small 3 Zoho CRM Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features Calendar, Collaboration Tools, Contact Management, and more Top CRM with project management comparison The best CRM providers can host a multitude of tracking and management features for marketing campaigns, sales analytics, and projects. The top CRM for project management typically offer activity tracking, task management, and robust reporting capabilities. Below we show you how our top five CRM for project management, including HubSpot, monday CRM, and others, compare at a glance. Star rating (out of 5) Starting price* Activity tracking Task management Real time reporting HubSpot 4 Free Yes Yes High monday CRM 3.6 $14 per user, per month Yes Yes High Pipedrive 4.3 $12 per user per month Yes Yes Medium ClickUp 4.1 Free Yes Yes High Bitrix24 4.1 Free Yes Yes Medium *Price when billed annually, not including tax. HubSpot: Best overall CRM with project management Image: HubSpot HubSpot can support global clients with lead generation and engagement, deal management, and automations—all available to use for overall project management initiatives. Users have access to a library of project management tools like task queues, deal pipelines, meeting scheduler, and detailed reporting capabilities that track marketing and sales projects. This helps businesses monitor their entire project management lifecycle from initiation and planning to execution, monitoring and evaluation, and finally closing. SEE: What is project management? Why I chose HubSpot HubSpot is a customer platform that can connect marketing, sales, service, operations, and data teams within one AI-powered hub. As an extremely scalable solution, it can cater to the needs of larger businesses with multiple locations or teams. Its free CRM is also extremely feature-rich with advanced tools available even in the more basic version of the tool. HubSpot’s higher paid tiers can be expensive. If you’re seeking an alternative to HubSpot that has similar marketing and ongoing project management capabilities, I suggest ClickUp or Bitrix24. For more details, read my HubSpot review. Pricing Free CRM: Free for five users with contact management, quotes, live chat and more. Sales Hub Starter: $15 per seat per month, billed annually, or $20 when billed monthly. Sales Hub Professional: $90 per seat per month, billed annually, or $100 when billed monthly, plus a one-time $1,500 onboarding fee. Sales Hub Enterprise: $150 per seat per month, with an annual commitment and one-time $3,500 onboarding fee. Features Dashboard and reporting: Customize reports for all marketing, sales, and service data and keep private data secure with advanced permissions . Sales automation: Create and use workflows that automate lead distributions, create and assign tasks and streamline sales sequences. Document management: Share, track, and manage all documents within permission-based libraries for constant visibility and collaboration. HubSpot document tracker. Image: HubSpot Pros and cons Pros Cons Can integrate with over 1,500 applications. Limited A/B split testing on lower tier plans. Offers 24/7 customer support. Higher paid tiers can be pricey, especially for small to midsize businesses. Offers a detailed free demo of the software. Requires an onboarding fee for Professional and Enterprise tiers. monday CRM: Best for activity and performance tracking Image: monday CRM With monday CRM, users can monitor all pipelines, targets, and team performance from custom dashboards. Managers can access all their team’s activities, like calls and meetings scheduled or completed. This helps track performance, understand individual or team capacity, and test new strategies. Individual users can also log all contact-related activity like calls, meetings, and notes from the desktop or mobile version. Why I chose monday CRM Monday CRM also offers monday work management which is another tool in the monday.com suite. Monday CRM is a very customizable platform with automations, workflows, and dashboards. Users can build out project views that can be shared, viewed, and updated by different teams all at once. Monday CRM only offers a free version of its tool in specific cases, and use of the free version requires an extensive approval process. If your business wants to try a CRM with project management through a basic free tier before fully committing a paid subscription, I recommend HubSpot, ClickUp, or Bitrix24. Head over to my monday CRM review for more information. Pricing Free version: Basic CRM offerings are only available for students and nonprofit organizations after submitting an application. Basic CRM: $12 per user per month when billed annually, or $15 when billed monthly. Standard CRM: $17 per user per month when billed annually, or $20 when billed monthly. Pro CRM: $28 per user per month when billed annually, or $33 when billed monthly. Enterprise CRM: Contact monday.com for a quote. Features Sales forecasting: Generate reports that track forecasted sales vs. actual sales by month, sales rep, or project. Team goals: Manage team quota progress and attainment with win trackers. Custom dashboards: Gain visibility into all project statuses, progress, sales figures, and performance with custom dashboards. Sample monday CRM Image: monday CRM Pros and cons Pros Cons 14-day free trial. Tailored onboarding only available in the Enterprise plan. Offers unlimited contacts. Free CRM only available for qualified

“2024 Cyber Resilience Strategy Report: CISOs Battle Attacks, Disasters, AI. . . and Dust“ An InformationWeek Report | Sponsored by Palo Alto Networks There is little to no consensus when it comes to cyber resilience, not on how to do it and not on how to define it. Errors/misconfigurations and equipment degradation caused as many significant disruptions as cyberattacks and third-party cyber incidents, and natural disasters are the top cause of significant issues. InformationWeek embarked on this research to try to decode current cyber resilience trends. Our survey allowed us to gain insights into what today’s cybersecurity professionals think about cyber resilience today. Here are some key findings: Companies are defining “cyber resilience” in a wide variety of ways. Half (48%) of respondents include “maintaining trust with stakeholders” as part of their definition. Despite the need to redistribute IT budget funds to cover unexpected new technology costs like GenAI, about one-quarter (24%) devote 25% or more of their IT budget to cybersecurity. One-quarter of respondents (24%) said they do not have a cyber incident response plan at all. Errors/misconfigurations (18%) and equipment degradation (15%) caused as many significant disruptions as cyberattacks (15%) and third-party cyber incidents (15%). Download this InformationWeek report today to learn more about risk and response initiatives, cyber liability insurance, the effects of GenAI and much more. Offered Free by: Palo Alto Networks See All Resources from: Palo Alto Networks Thank you This download should complete shortly. If the resource doesn’t automatically download, please, click here. Thank you This download should complete shortly. If the resource doesn’t automatically download, please, click here. source

The site has so far ranked models from the likes of OpenAI, Meta, Mistral, Anthropic and Google on more than two dozen technical specifications. Other model makers are also urged to request evaluations of their models’ compliance. “We reveal shortcomings in existing models and benchmarks, particularly in areas like robustness, safety, diversity, and fairness,” researchers from LatticeFlow, INSAIT and ETH Zurich wrote in a technical paper. “Compl-AI for the first time demonstrates the possibilities and difficulties of bringing the act’s obligations to a more concrete, technical level.” Most models struggle with diversity, non-discrimination Under the EU AI Act, models and systems will be labeled as unacceptable, high, limited, and minimal risk. Notably, an unacceptable label would ban a model’s development and deployment. Model makers could also face large fines if found not in compliance. source