Jose Manuel Queiro de Diego’s Post

As organizations and their #RiskManagement and #InternalAudit functions embark on #ArtificialIntelligence (AI) transformation journeys, more guidance is required to take the full advantage of this technology, Our KPMG AI Governance Framework tackles crucial governance, risk management, and compliance issues, ensuring ethical and responsible AI use. Dive into our latest, in-depth article to explore our insights and proposed approach to AI Governance. Read the full article here: https://lnkd.in/dXMnRF-H If you have any questions about the article feel free to contact: Huck Chuah, Pascal Raven, Frank van Praat or Kaylon Solomons (CISA).

Relevant article for every organization using AI!

🚀 How many times must the risk level of an #AI system be determined? 🚀 🔍 Ensuring the safety of high-risk #AI systems is not a one-time task but a continuous journey. Under the EU #AI Act, risk levels must be reassessed regularly throughout the entire lifecycle of the #AI system. 🔍 Key Points on Risk Reassessment: Continuous Process: Risk management is iterative—regular reviews and updates are crucial.🔍 Systematic Reviews: Regularly evaluate known and emerging risks.🔍 Lifecycle Coverage: From deployment to updates, reassessment must cover the entire #AI lifecycle.🔍 Post-Market Monitoring: Use data to identify and manage new risks promptly.🔍 Continuous and systematic reassessment is key to maintaining compliance and safety in #AI systems. 🔍 🔍 Want to find out more? DM us or contact the team at contact@ai-and-partners.com 🚀 #AI #RiskManagement #Compliance #EUAIAct

What is risk-reassessment? A question that many are asking following Regulation (EU) 2024/1689 entering into force on 1 August 2024. In short, continuously assessing the risk level of an #AI system throughout its lifecycle - not just a one-off! Many factors can alter this, such as data flows, end-user utilisation, system modification, all of which need to be considered in determining the overall risk level - unacceptable, high, minimal or limited. If you're interested in finding out how to determine your #AI system's risk level, contact the team at AI & Partners. LinkedIn: https://lnkd.in/eaZGAjWQ Email: contact@ai-and-partners.com #AI

We spend a lot of time thinking about change and the future of #TPRM. For Whistic, #AI is a huge part of that future. So, this might seem contradictory. But the reason we believe #AI is such an important part of third-party #risk management moving forward is not because of what changes, but because of what stays the same. Businesses still: 💠 Need #security info from their vendors to understand and mitigate risk 💠 Have limited resources to do all the manual work of quality assessments 💠 Rely on third parties to drive outcomes—and so must tackle risk somehow Some things never change for vendors or third parties, either. They still: 💠 Must respond to huge volumes of questionnaire requests 💠 Have decentralized security documentation scattered across systems 💠 Ping InfoSec every time they need an answer 💠 Risk disrupting sales cycles if they can't move faster 💠 Compete on transparency and trust Whistic #AI is designed for both sides of the #TPRM equation, making it faster, easier, and more powerful to conduct and respond to #security assessments. It's only one change, but it's a big one. Learn all about our approach to AI in TPRM, and let us know when you're ready to take the next step forward. https://lnkd.in/eM8xq7v8

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

🌟 Exciting Update in AI Risk Management! 🌟 The National Institute of Standards and Technology (NIST) has released the Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1), a groundbreaking guide designed to enhance the trustworthiness and responsible use of Generative AI (GAI). This framework, aligned with President Biden’s Executive Order on AI, provides comprehensive insights into managing unique and exacerbated risks associated with GAI. Key Highlights: 🔹 Identification of GAI-Specific Risks: Covers issues like confabulation, data privacy, environmental impacts, and harmful biases. 🔹 Suggested Risk Management Actions: Detailed strategies for governance, risk evaluation, and third-party management. 🔹 Cross-Sectoral Application: Offers a versatile approach applicable across various sectors and use cases. This profile is a vital resource for organizations aiming to implement AI technologies responsibly and effectively. It emphasizes the importance of transparency, legal compliance, and ongoing risk evaluation to ensure the safe and ethical deployment of GAI. 🔗 Dive deeper into the framework here: NIST AI 600- 1https://lnkd.in/gmHh2nny Let’s continue to advance AI technologies while safeguarding our ethical and societal values! #AI #ArtificialIntelligence #RiskManagement #GenerativeAI #NIST #TechInnovation #ResponsibleAI

Join us for a deep dive into managing AI-related risks and exploring ISO standards with industry experts. Don't miss this opportunity to enhance your AI integration skills! #AI #RiskManagement #ISOStandards #Webinar

August 13 2024 Is your organization realizing the full potential of Artificial intelligence (AI)? AI has and will continue to transform business strategies, solutions, and operations. AI-related risks need to be top of mind and a key priority for organizations to adopt and scale AI applications and to fully realize the potential of AI. Applying enterprise risk management (ERM) principles to AI initiatives can help organizations provide integrated governance of AI, manage risks, and drive performance to maximize achievement of strategic goals. The #COSO ERM Framework, with its five components and twenty principles, provides an overarching and comprehensive framework, can align risk management with AI strategy and performance to help realize AI’s potential. The document can be downloaded here: https://lnkd.in/dgy4TGmQ

🔍 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.