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ISO 42001 is essential for companies across various industries, providing a comprehensive framework for developing, implementing, and maintaining responsible AI systems, ensuring ethical, reliable, and transparent AI deployment. Read the full article here. https://lnkd.in/eM54Kc7a #ccsrisk #ISO42001 #ArtificialIntelligence #AIMS #EthicalAI #AIStandards #AIGovernance #AICompliance #ResponsibleAI #AIManagement #TechEthics #AIInnovation #AITrust #AIFuture #AIAudit #DataGovernance #AISafety

A third of businesses using AI without telling customers or employees The federal government lays out its plans to set "mandatory guardrails" for the highest-risk AI tools, as a survey of businesses reveals a third of those using AI are not disclosing it to customers or staff. While this policy sets a strong foundation, the complex nature of AI requires a more structured approach to manage the ethical and operational challenges it presents effectively. This is where ISO 42001 comes into play. ISO 42001: The Global Standard for AI Management Systems ISO 42001 is a new international standard designed to provide organisations with a responsible framework for managing AI systems. ISO 42001 covers critical aspects such as ethical AI deployment, risk management, and continuous improvement in AI processes. By adopting ISO 42001, business and government can enhance their current policy, ensuring a more comprehensive approach to responsible AI use. If you need any information on getting ISO 42001 certified, please contact me.

Thanks for sharing Ansgar Koene! I’m curious to what extent the ISO norm would be compatible with the AI Act, and whether or not this could bear potential for ‘filling in’ the AI Act’s many vague and open norms (albeit stemming from a different source than EU legislation). I’m also curious who could/have participated in the standardisation process and to what extent voices of civil society, SMEs, environment and fundamental rights organisations have been heard. Also, I would plea for wide and free accessibility throughout the AI sector - as would be in line with recent Dutch case law regarding (prescribed) norms.

AI's rapid growth brings challenges and opportunities. "AI is such a runaway train and everybody is trying to make a buck off it." There's a need to prioritize governance to harness AI for growth while managing risks. #GartnerIT #AI #Governance #Innovation #CTO #CIO

ISO/IEC Standard on AI Systems Impact Assessment now open for public comment t/h UK AI Standards Hub The ISO.IEC 42005 standard for AI Systems Impact Assessment is now open for public comment via the ISO portal accessible through the UK AI Standards Hub. This is limited period full access to view and comment on the standard as part of one of the final stages in the standard development process. To access the standard you will have to follow the blue box (“This standard is now open for comment. click here to view and comment on the draft standard.”) and register a free account (ISO is tracking who is viewing the document).   Scope of the standard: This document provides guidance for organizations performing AI system impact assessments for individuals and societies that can be affected by an AI system and its intended and foreseeable applications. It includes considerations for how and when to perform such assessments and at what stages of the AI system lifecycle, as well as guidance for AI system impact assessment documentation. Additionally, this guidance includes how this AI system impact assessment process can be integrated into an organization’s AI risk management and AI management system. This document is intended for use by organizations developing, providing, or using AI systems. This document is applicable to any organization, regardless of size, type and nature. ©ISO/IEC 2022. All rigthts reserved. https://lnkd.in/eipKU4C6 #AIstandards #responsibleAI #AIgovernance

🔍 Ensuring Ethical AI: The Importance of Algorithmic Auditing and Continuous Monitoring 🔍 As AI continues to revolutionize industries, ensuring ethical and responsible AI practices is paramount. We understand the critical role of Algorithmic Auditing and Continuous Monitoring in maintaining trust and reliability in our AI systems. 🔹 Algorithmic Auditing: We believe in transparency and accountability. Conducting regular audits allows us to assess the performance, accuracy, and fairness of our AI algorithms. It's not just about compliance; it's about ensuring our technology aligns with our ethical standards and meets regulatory requirements. 🔹 Continuous Monitoring: AI is dynamic, and so is our approach. Through continuous monitoring, we track how our AI models behave in real-world scenarios. This proactive approach helps us detect and address any emerging issues promptly, ensuring our systems remain robust and reliable. Algorithmic Auditing and Continuous Monitoring are not just buzzwords for us; they're integral to how we innovate and serve our customers ethically. Let's continue to lead with integrity and innovation in the age of AI. #AI #EthicalAI #AlgorithmicAuditing #ContinuousMonitoring #Innovation #TechEthics #ArtificialIntelligence #DataEthics Just finished the course “Algorithmic Auditing and Continuous Monitoring” by Brandie Nonnecke! Check it out: https://lnkd.in/gg4kd2gP #continuousmonitoring.

𝗜𝘀 𝗬𝗼𝘂𝗿 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗲𝗽𝗮𝗿𝗲𝗱 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗡𝗲𝘄 𝗔𝗜 𝗥𝗠𝗙 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀 𝗳𝗼𝗿 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜? 🌐🔒 On July 26, 2024, NIST released the "Artificial Intelligence Risk Management Framework: Generative AI Profile" (NIST-AI-600-1), a comprehensive guide to managing the unique risks posed by generative AI. This must-read document, aligned with the White House's Executive Order on AI, highlights the importance of governance and trustworthiness in AI development & deployment. At Lumenova AI, we are committed to helping organizations integrate these essential guidelines into their AI governance platforms to ensure that their AI systems are not only innovative but also secure & trustworthy. 🔍 Stay ahead of the curve and explore how these new guidelines can benefit your AI strategy. Learn more from NIST's comprehensive paper: https://lnkd.in/dfmexTQF #AI #GenerativeAI #AIGovernance #RiskManagement #LumenovaAI

ISO 42001 is essential for companies across various industries, providing a comprehensive framework for developing, implementing, and maintaining responsible AI systems, ensuring ethical, reliable, and transparent AI deployment. Read the full article here. https://lnkd.in/eM54Kc7a #ai #artificialintelligence #ccsrisk #future #ethical #compliance #riskmanagement #isostandards #iso #isocertification #iso4200

I am thrilled to announce that I have officially become AI Governance Certification Certified by @Securiti! This course delves into the dynamic landscape of artificial intelligence, with a particular focus on the capabilities and data prerequisites of generative AI. It underscores the necessity for a robust AI risk management framework, which is essential in today's world of ever-evolving AI regulatory standards and responsible innovation. Throughout the course, I gained insights into the global regulatory trends in AI and discovered how to integrate AI Governance frameworks to sustain compliance with these standards. The key topics covered in this module include an introduction to AI and its potential for transformation, a comprehensive exploration of Gen AI technologies and their various types, techniques for identifying and effectively managing AI-related risks, the establishment of AI risk management frameworks, an examination of different global approaches to regulating AI and a structured 5-step approach to implementing AI governance. I highly recommend this course to anyone interested in AI governance, risk management, and compliance. You too can start your learning journey here: “https://lnkd.in/gyHZJAmf Thank you Securiti for putting together this great learning opportunity for the community. #securiti #aigovernance #genai #airisk #compliance #riskmanagement #regulatory

The escalating risk of Shadow AI Employees across organizations are increasingly utilizing #GenAI tools for work-related tasks, sometimes without adequate training or guidelines, what has been named #ShadowAI and that mirrors the challenges associated with #ShadowIT: - Data exfiltration: There’s a risk of accidentally entering sensitive information into #AI tools, which could potentially be made public. - Regulatory: If the disclosed information includes personal data, it could lead to regulatory issues. How can we navigate these emerging challenges? - Clear Communication: Inform employees about the usage of GenAI tools, the associated risks, guidelines, and the appropriate channels for their use. - Training Programs: Develop comprehensive training programs to educate employees on how to safely use GenAI tools and adhere to regulations. - Robust Risk Management Practices: Implement strong enterprise risk management practices and monitor AI usage to identify potential risks and address them promptly.