Galkin Law LLC

Recent developments indicate a significant shift in U.S. federal AI policy under the Trump administration. The National Institute of Standards and Technology (NIST) has directed scientists at the U.S. Artificial Intelligence Safety Institute (AISI) to remove references to "AI safety," "responsible AI," and "AI fairness" from their objectives. The new focus emphasizes reducing "ideological bias" and prioritizing American economic competitiveness. This policy change aligns with President Trump's Executive Order 14179, titled "Removing Barriers to American Leadership in Artificial Intelligence," issued in January 2025. The order aims to eliminate what the administration describes as "ideological bias" and "engineered social agendas" in AI development. Critics express concern that these directives could lead to the deployment of AI systems that are more discriminatory, unsafe, and irresponsible, potentially benefiting only a select group of technologists while worsening outcomes for regular users. These developments underscore a pivotal change in the U.S. approach to AI policy, shifting the focus from ethical considerations to economic priorities.   https://lnkd.in/ekwkXxXy #AIpolicy #AIfairness #TechRegulation #AIgovernance #AIethics 𝗦𝗲𝗲 𝗮𝗹𝗹 𝗽𝗼𝘀𝘁𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗧𝗲𝗰𝗵𝗹𝗮𝘄 𝗕𝗹𝗼𝗴 𝗮𝗻𝗱 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝘁𝗼 𝘀𝘁𝗮𝘆 𝘂𝗽 𝘁𝗼 𝗱𝗮𝘁𝗲 𝗼𝗻 𝘁𝗲𝗰𝗵 𝗹𝗮𝘄 𝗶𝘀𝘀𝘂𝗲𝘀: http://galkinlaw.com/blog/ or connect with me on LinkedIn to receive my posts.

Who Takes the Hit? Negotiating Limitation of Liability for SaaS agreements. In contract negotiations, the limitation of liability clause is often the last—and most crucial—battlefield. It dictates who absorbs the financial risk when things go south. But do you really understand direct vs. indirect damages? Missing key nuances could mean signing up for unexpected liabilities. 👇 Read on to protect your interests. https://lnkd.in/ejzfw-wJ 𝗦𝗲𝗲 𝗮𝗹𝗹 𝗽𝗼𝘀𝘁𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗧𝗲𝗰𝗵𝗹𝗮𝘄 𝗕𝗹𝗼𝗴 𝗮𝗻𝗱 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝘁𝗼 𝘀𝘁𝗮𝘆 𝘂𝗽 𝘁𝗼 𝗱𝗮𝘁𝗲 𝗼𝗻 𝘁𝗲𝗰𝗵 𝗹𝗮𝘄 𝗶𝘀𝘀𝘂𝗲𝘀: http://galkinlaw.com/blog/ #ContractNegotiation #LegalRisk #LiabilityClauses #SaaSAgreements #TechLaw

Tech Giants Seek Fair Use for AI Training: OpenAI and Google have formally requested that the U.S. government permit their AI models to train on copyrighted material under the fair use doctrine. This move aims to maintain the U.S.'s competitive edge in AI advancements, especially considering that developers in countries like China have broader access to data for AI training. https://lnkd.in/e6q8yDKp

Here’s what I see as the most critical issues facing AI development today: Data Privacy and Security 🔐 ·      Ensuring compliance with GDPR, CCPA, and other data protection laws. ·      Implementing robust security measures to protect sensitive data. Intellectual Property Rights 📜 ·      Determining the ownership of AI-generated content. ·      Navigating patents and copyrights in AI innovations. Bias and Fairness ⚖️ ·      Addressing inherent biases in AI algorithms. ·      Developing fair and unbiased AI systems to ensure equality. Accountability and Liability 🛡️ ·      Defining responsibility for AI decisions and actions. ·      Establishing clear liability frameworks for AI-related incidents. Transparency and Explainability 🔍 ·      Creating AI models that are transparent and understandable. ·      Meeting regulatory demands for explainable AI decisions. Ethical Considerations 🧭 ·      Balancing technological advancement with ethical implications. ·      Developing AI in a way that benefits society as a whole. Regulatory Compliance 📑 ·      Staying updated with evolving AI regulations worldwide. ·      Ensuring AI systems comply with local and international laws. Workforce Impact 💼 ·      Addressing the impact of AI on employment and job displacement. ·      Ensuring upskilling and reskilling opportunities for affected workers. Navigating these challenges requires a deep understanding of both technology and the law. As AI continues to shape the future, staying informed and proactive is essential for developers and companies alike. What do you think are the most pressing legal issues in AI today? #AI #ArtificialIntelligence #LegalIssues #DataPrivacy #EthicalAI #TechLaw #Innovation #AIRegulation #FutureOfAI

In today’s fast-paced, digitally driven world, the adoption of electronic signatures has revolutionized the way we conduct business. As organizations and individuals seek more efficient and secure methods to validate agreements, electronic signatures have become an essential tool. But what about their legal acceptance globally? The good news is that electronic signatures are now widely accepted and recognized by legal frameworks around the world. See Techlaw Blog for overview: #ElectronicSignatures #LegalCompliance #GlobalBusiness #DocumentSigning #DigitalTransformation

In many license and services agreement negotiations the last clause to be finalized is the limitation of liability clause. There’s good reason for this because at the end of the day, after all the details regarding obligations and performance have been worked out and drafted, the actual availability of remedies will be limited to the damages and caps defined by the limitation of liability clause. As you will see, there are quite a few nuances that need to be understood when preparing and negotiating a limitation of liability clause so that if push comes to shove the parties are not surprised as to the scope of liability and remedies that are actually available. Limitation of liability clauses deal with two very distinct types of damage limitations: (1) exclusion of indirect damages and (2) an overall cap on damages. #SaaS #Liabilities #licensing #IPlaw #limitedliability

The rights of copyright holders in most Circuits to recover damages for “old” infringements has been maintained, provided claims are filed within 3 years of the discovery of an infringement. Yesterday, the 🏛️Supreme Court denied certiorari in Hearst Newspapers, LLC v. Martinelli, declining to determine whether the “discovery rule” applies in Copyright Act infringement cases and under what circumstances. The core issue of the case was whether a copyright owner can recover damages for infringements that occurred more than three years before the filing of a lawsuit if the infringement was only discovered later. By declining certiorari, the majority of Circuits will be able to continue the use of the discovery rule in copyright infringement cases. This means that once a claim is deemed timely under the discovery rule (meaning that the infringement was discovered), damages can be pursued for all infringements identified, regardless of when they occurred. See Article https://lnkd.in/eeX9-sra #SupremeCourt #CopyrightLaw #LegalUpdates #IntellectualProperty #LegalNews

The intersection of artificial intelligence and intellectual property law has once again made headlines, as Scarlett Johansson recently compelled OpenAI to remove a voice from their ChatGPT 4.0 chatbot, “Sky,” that bore a striking resemblance to hers. This development highlights several key legal concerns in the AI domain. Right of Publicity: Johansson’s case underscores the importance of an individual’s right to control the commercial use of their likeness, which includes their voice. This right protects celebrities from unauthorized exploitation of their persona, ensuring they can monetize their identity and prevent misleading endorsements. Intellectual Property: The use of a voice that closely mimics a well-known public figure’s without consent raises questions about copyright and trademark infringements. While voices per se are not copyrighted, their use in a manner that suggests an endorsement can lead to legal challenges. Ethical AI Development: This incident emphasizes the need for ethical considerations in AI development. Companies must navigate the fine line between innovation and respect for individual rights, ensuring their creations do not inadvertently infringe on the personal and commercial interests of individuals. Regulatory Implications: The legal repercussions faced by OpenAI could lead to more stringent regulations governing AI-generated content. Policymakers might introduce more robust frameworks to protect individuals’ rights against unauthorized use of their likenesses in AI technologies. As AI continues to evolve, it is crucial for developers, legal professionals, and policymakers to collaborate in creating guidelines that balance technological advancement with respect for individual rights. Johansson’s case serves as a pivotal reminder of the potential legal pitfalls in the rapidly advancing field of artificial intelligence. #AI #LegalIssues #RightOfPublicity #IntellectualProperty #EthicalAI #ScarlettJohansson #OpenAI #TechnologyLaw

🚀 How AI Will Transform the Health Industry? Artificial Intelligence is set to revolutionize the healthcare industry, offering unprecedented advancements in diagnostics, treatment, and patient care. From predictive analytics that can foresee health issues before they arise to personalized treatment plans tailored to individual genetic profiles, AI's potential is limitless. Imagine AI-powered robots assisting in surgeries with precision, virtual health assistants available 24/7, and streamlined administrative processes that allow healthcare professionals to focus more on patient care. 🔍 Key Benefits: Enhanced Diagnostics: AI can analyze medical images and data faster and more accurately than ever before. Personalized Medicine: Treatment plans based on individual genetic information and health data. Predictive Analytics: Early detection and prevention of diseases through AI-driven insights. Operational Efficiency: Automation of administrative tasks to reduce workload on healthcare staff. Improved Patient Outcomes: Continuous monitoring and real-time data analysis for better patient care. 🌟 Your Turn: How do you think AI will impact the healthcare industry? What are your hopes or concerns regarding this technological revolution? Share your thoughts. #AI #Healthcare #Innovation #FutureOfMedicine #HealthTech

AI both promises great opportunities and engenders much fear. While governments can create protective regulations, unless these regulations are coordinated internationally, they will not serve to effectively protect. As artificial intelligence (AI) continues to reshape industries and societies globally, the urgency for a cohesive regulatory framework that can address the complexities of AI deployment across different jurisdictions has never been clearer. However, harmonizing regulations internationally poses significant challenges, given the varying priorities and legal landscapes in regions such as the European Union (EU), the United States (US), and Asia. This blog post delves into these challenges and explores the different approaches to AI governance across these key regions. See Techlaw Blog for full article▶ https://lnkd.in/ewpdvGtw #AI #artificialintelligence #internationallaw #privacylaw