How to Navigate Global AI Regulations

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Summary

Understanding and adapting to global AI regulations, like the EU AI Act, is crucial for organizations developing or deploying AI technologies. These laws aim to ensure responsible, transparent, and ethical AI systems while fostering trust and compliance in an evolving digital landscape.

  • Conduct a thorough assessment: Evaluate your AI systems to identify those subject to regulations, paying close attention to categorization by risk levels and ensuring transparency in how data is used.
  • Set up compliance structures: Establish specialized teams to oversee adherence to regulatory requirements, regularly review AI processes, and update protocols to align with new guidelines.
  • Prepare for conformity assessments: Develop a roadmap for evaluating high-risk AI systems, focusing on documentation, data quality, accountability, and cybersecurity to meet compliance standards.
Summarized by AI based on LinkedIn member posts
  • View profile for Montgomery Singman
    Montgomery Singman Montgomery Singman is an Influencer

    Managing Partner @ Radiance Strategic Solutions | xSony, xElectronic Arts, xCapcom, xAtari

    26,691 followers

    On August 1, 2024, the European Union's AI Act came into force, bringing in new regulations that will impact how AI technologies are developed and used within the E.U., with far-reaching implications for U.S. businesses. The AI Act represents a significant shift in how artificial intelligence is regulated within the European Union, setting standards to ensure that AI systems are ethical, transparent, and aligned with fundamental rights. This new regulatory landscape demands careful attention for U.S. companies that operate in the E.U. or work with E.U. partners. Compliance is not just about avoiding penalties; it's an opportunity to strengthen your business by building trust and demonstrating a commitment to ethical AI practices. This guide provides a detailed look at the key steps to navigate the AI Act and how your business can turn compliance into a competitive advantage. 🔍 Comprehensive AI Audit: Begin with thoroughly auditing your AI systems to identify those under the AI Act’s jurisdiction. This involves documenting how each AI application functions and its data flow and ensuring you understand the regulatory requirements that apply. 🛡️ Understanding Risk Levels: The AI Act categorizes AI systems into four risk levels: minimal, limited, high, and unacceptable. Your business needs to accurately classify each AI application to determine the necessary compliance measures, particularly those deemed high-risk, requiring more stringent controls. 📋 Implementing Robust Compliance Measures: For high-risk AI applications, detailed compliance protocols are crucial. These include regular testing for fairness and accuracy, ensuring transparency in AI-driven decisions, and providing clear information to users about how their data is used. 👥 Establishing a Dedicated Compliance Team: Create a specialized team to manage AI compliance efforts. This team should regularly review AI systems, update protocols in line with evolving regulations, and ensure that all staff are trained on the AI Act's requirements. 🌍 Leveraging Compliance as a Competitive Advantage: Compliance with the AI Act can enhance your business's reputation by building trust with customers and partners. By prioritizing transparency, security, and ethical AI practices, your company can stand out as a leader in responsible AI use, fostering stronger relationships and driving long-term success. #AI #AIACT #Compliance #EthicalAI #EURegulations #AIRegulation #TechCompliance #ArtificialIntelligence #BusinessStrategy #Innovation 

  • View profile for Prukalpa ⚡
    Prukalpa ⚡ Prukalpa ⚡ is an Influencer

    Founder & Co-CEO at Atlan | Forbes30, Fortune40, TED Speaker

    46,646 followers

    The EU just said "no brakes" on AI regulation. Despite heavy pushback from tech giants like Apple, Meta, and Airbus, the EU pressed forward last week with its General-Purpose AI Code of Practice. Here's what's coming: → General-purpose AI systems (think GPT, Gemini, Claude) need to comply by August 2, 2025. → High-risk systems (biometrics, hiring tools, critical infrastructure) must meet regulations by 2026. → Legacy and embedded tech systems will have to comply by 2027. If you’re a Chief Data Officer, here’s what should be on your radar: 1. Data Governance & Risk Assessment: Clearly map your data flows, perform thorough risk assessments similar to those required under GDPR, and carefully document your decisions for audits. 2. Data Quality & Bias Mitigation: Ensure your data is high-quality, representative, and transparently sourced. Responsibly manage sensitive data to mitigate biases effectively. 3. Transparency & Accountability: Be ready to trace and explain AI-driven decisions. Maintain detailed logs and collaborate closely with legal and compliance teams to streamline processes. 4. Oversight & Ethical Frameworks: Implement human oversight for critical AI decisions, regularly review and test systems to catch issues early, and actively foster internal AI ethics education. These new regulations won’t stop at Europe’s borders. Like GDPR, they're likely to set global benchmarks for responsible AI usage. We're entering a phase where embedding governance directly into how organizations innovate, experiment, and deploy data and AI technologies will be essential.

  • View profile for Victoria Beckman

    Associate General Counsel - Cybersecurity & Privacy

    31,479 followers

    The Future of Privacy Forum and OneTrust have published an updated guide to help organizations navigate Conformity Assessments (CAs) under the final version of the EU #Artificial Intelligence Act. CAs are a cornerstone of the EU AI Act's compliance framework and will be critical for any organization developing or deploying high-risk #AIsystems in the EU. The guide offers a clear and practical framework for assessing whether, when, and how a CA must be conducted. It also clarifies the role of CAs as an overarching accountability mechanism within the #AIAct. This guide: - Provides a step-by-step roadmap for conducting a Conformity Assessment under the EU AI Act. - Presents CAs as essential tools for ensuring both product safety and regulatory compliance. - Identifies the key questions organizations must ask to determine if they are subject to CA obligations. - Explains the procedural differences between internal and third-party assessments, including timing and responsibility. - Details the specific compliance requirements for high-risk #AI systems. - Highlights the role of documentation and how related obligations intersect with the CA process. - Discusses the use of harmonized standards and how they can create a presumption of conformity under the Act. This guide serves as a practical resource for understanding the conformity assessment process and supporting organizations in preparing for compliance with the EU AI Act.

  • View profile for Monica Hernandez

    Digital, Data & AI Engineering | Powered by LATAM Delivery | Enterprise Precision + Agility | Tech with Impact

    12,461 followers

    Hola August! I’m in #Europe this week on this historic day as #AIRegulations take effect. Whether you’re in Europe or not, these rules impact any AI solution built in or for Europe. While too much regulation can stifle innovation, too little leaves transformative tech in the hands of a few who may not prioritize responsible AI. It’s crucial we find a balance that fosters innovation while ensuring ethical use. I believe the role of Chief Risk Officers is becoming critical in this new technology-centric era. They have to educate themselves to help organizations manage risk while not hindering progress and agility. AI solutions can be transformational but to be deployed at scale they need to be trusted. Before placing a high-risk AI system on the EU market or otherwise putting it into service, providers must subject it to a conformity assessment. This will allow them to demonstrate that their system complies with the mandatory requirements for trustworthy AI (e.g. data quality, documentation and traceability, transparency, human oversight, accuracy, cybersecurity and robustness). Key actions businesses can take today: + Create an AI exposure register + Risk-assess each of the use cases in line with the EU AI Act Risk Assessment Framework + Establish appropriate AI governance structures to manage the risk of AI responsibly + Implement an upskilling programme and roll out awareness sessions to equip stakeholders for responsible use and oversight Learn more about the regulations here by PwC Ireland #Europe #ResponsibleAI https://lnkd.in/ewywkQFN

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