Raimund Laqua, PMP, P.Eng.的动态

??WEBINAR: AI Governance and Guardrails - Thursday, Sep 26 ?? As part of our "Elevating Compliance" webinar series, we're addressing the critical need for responsible AI development and implementation within organizations. This session is tailored for business leaders, managers, and IT specialists who are keen to elevate their approach to AI governance and compliance. We'll delve into the challenges and opportunities that AI presents, providing practical insights on how to harness its potential while maintaining ethical standards and mitigating risks. ??Webinar Objectives: During this webinar we will: ?? Examine upcoming AI regulation and stakeholder obligations ?? Define AI governance and its importance in meeting obligations and mitigating risks ?? Explore key principles of effective AI guardrails. ?? Discuss common challenges in implementing AI governance and guardrails. ?? Consider practical steps for organizations to elevate their AI governance practices ??Who Should Attend - Chief Compliance Officers - Risk Management Professionals - C-Suite Executives - Board Members - Internal Auditors - Legal Counsel - Compliance Team Members - IT ??About the Elevating Compliance Series The "Elevating Compliance" webinar series is designed to empower compliance professionals with cutting-edge insights, strategies, and tools to transform compliance from a necessary function into a strategic driver of organizational success. Each session in this series focuses on a critical aspect of modern compliance, providing actionable takeaways to elevate your compliance program to new heights. Register here: https://lnkd.in/gmekA8Tw

AI & Corporate Governance: A Powerful Synergy The integration of AI into corporate governance is no longer a luxury—it's a necessity. AI streamlines decision-making processes, enhances risk management, and drives efficiency. On the other hand, corporate governance ensures that AI operates ethically, transparently, and in compliance with legal frameworks. By blending these two forces, organizations can safeguard against potential risks while unlocking innovative opportunities. This synergy creates a robust framework for long-term sustainability, empowering companies to meet the evolving demands of stakeholders and regulators alike. How are you integrating AI into your governance model? #AIGovernance #CorporateGovernance #RiskManagement #EthicalAI #DigitalTransformation #Innovation #Leadership #BusinessGrowth

Aligning AI policy with business objectives is necessary to meet the requirements of ISO 42001 (Clause 5 - Leadership) while driving value creation and effective governance. Below are my thoughts on why each aspect is so important. 1. Strategic Integration: ?? Importance: Ensuring the AI policy is compatible with the organization's strategic direction helps embed AI management practices into core business processes. ?? Value Creation: This integration ensures that AI initiatives directly contribute to achieving strategic goals, optimizing operations, and enhancing competitive advantage. ??? Governance: It supports coherent decision-making and aligns AI projects with long-term business priorities, fostering accountability and strategic oversight. 2. Resource Allocation: ?? Importance: Leaders must ensure that the necessary resources (financial, human, technological) for the AI management system are available. ?? Value Creation: Proper resource allocation enables efficient AI deployment, leading to improved productivity, innovation, and return on investment. ?? Governance: Ensures that resource distribution aligns with strategic priorities, mitigating risks of resource wastage and ensuring sustainable AI development. 3. Objective Setting: ?? Importance: The AI policy provides a framework for setting measurable, monitored, and updated AI objectives. ?? Value Creation: Clear objectives drive focused efforts, measurable outcomes, and continuous improvement in AI initiatives, directly impacting business performance and growth. ?? Governance: Establishes a transparent mechanism for tracking AI progress, ensuring objectives are met, and facilitating regulatory compliance and reporting. 4. Risk Management: ?? Importance: Aligning AI policy with business objectives supports effective risk management by addressing AI risks within the organizational context (don’t miss this, this is critical). ?? Value Creation: Proactive risk management protects the business from potential AI-related pitfalls, safeguarding intellectual property, reputation, financial stability, and human flourishing. ?? Governance: Ensures a structured approach to identifying, assessing, and mitigating risks, thereby enhancing trust and reliability in AI systems among stakeholders. 5. Promoting Leadership and Accountability: ?? Importance: Establishing clear roles, responsibilities, and authorities ensures accountability and promotes continual improvement. ?? Value Creation: Effective leadership and accountability drive a culture of excellence and innovation, fostering an environment where AI projects can thrive and deliver value. ??? Governance: Strengthens organizational governance by delineating responsibilities, ensuring transparency, and supporting ethical AI practices, thus enhancing stakeholder confidence. This might seem like a heavy lift, so for help getting started, please reach out! A-LIGN #iso42001 #ethicalAI #TheBusinessofCompliance #ComplianceAlignedtoYou

Corporate Governance continues to evolve as technology evolves and as we are faced with other externalities As it relates to AI, we should treat it like any other new technology that has presented itself.? 1. Understand its capabilities, limitations, regulations, developments in general and sector specific trends/challenges.? 2. Identify the risks - their up and downside.? 3. Start slow.? 4. Test and learn.? 5. Expand operationalizing it where and when relevant.? 6. Implement reporting with management oversight. Risk governance will help establish boundaries.?Directors' fiduciary duties of care and loyalty along with board oversight will guide the way forward.? We've got this! #risk #leadership #governance #boardofdirectors #ai

AI is reshaping corporate governance, and it’s crucial for leaders to understand both its potential and risks. Our new report, in collaboration with Board Agenda, dives into ethical AI use and global regulations. ?? Download it today.

When reviewing the latest risk allocation matrix, I noticed an area ripe for discussion — the inclusion of AI risk. In our tech-driven era, AI is a general purpose technology that intersects with every domain, affecting all stakeholders -employees, customers, shareholders, regulators, and communities. Similar to culture, should the ultimate responsibility (executive owner) for AI risk rest with the CEO, or is it more prudent for a specialized Chief Privacy and Trust Officer to take the lead on AI Ethics and AI Risk? AI's pervasive influence means that accountability shouldn't be siloed; it's a company-wide imperative. But with high stakes for employees, customers, regulators, and communities, ensuring the right leadership architecture is crucial for ethical oversight and strategic risk management. ?? I'm curious about your insights on this. What has been your experience with AI governance in your organization? How robust are your AI risk oversight disclosures? Share your thoughts below! #AI #RiskManagement #CorporateGovernance #EthicalAI #Leadership #CEO #CIO #CTO #CISO #boardofdirectors #boardroom #boardgovernance James Lam David R. Koenig, QRD?

?? AI Governance: The Secret Sauce for Sustainable Innovation Let’s face it: AI is everywhere, and its influence in the workplace is only growing. But with great power comes... well, you know the rest. ???♂? To harness the full potential of AI while avoiding pitfalls, companies need to build a strong culture of AI governance. Enter ISO 42001 and the NIST AI Risk Management Framework—not just buzzwords, but practical guides to making AI a responsible, strategic part of your organization. ?? Why It Matters: These frameworks help teams make smarter decisions about how to develop, deploy, and oversee AI systems. Think of them as the bridge between cutting-edge technology and everyday ethics. ISO 42001 sets the standard for integrating AI oversight into your existing processes, while the NIST AI Risk Management Framework provides a roadmap for understanding and managing AI risks proactively. Real Talk: It’s not just about ticking boxes. It’s about creating an environment where your team feels empowered to innovate safely and sustainably. The companies that get this right? They build trust, stay ahead of regulations, and inspire confidence among clients and partners alike. ?? First Step: Start small. Get a diverse group together for a workshop and break down how these frameworks can fit into your current operations. You’ll be surprised at the ideas that come out when tech and strategy meet on common ground. AI governance isn’t just a technical requirement—it’s your competitive advantage. #AIForGood #TechLeadership #AIGovernance #InnovationWithIntegrity

The first AI certification standard is here: ISO 42001 Here is what you need to know. ?? ???????? ???? ?????? ?????????? → ISO has released the AI certification standard. → The standard will permit organizations to receive an AI certification for the first time. ?????? ???????? ???????????????? ???????????? ???????? → ???? ??????????: You need a way to govern how your company uses AI. This framework presents a thinking model to approach AI and the risks. → ???????????????? ??????????: Your customers are going to be asking how you use AI in your products. Similar to security and privacy, AI requirements will land in contracts. Your sales team will need to be able to speak to it. → ?????????????? ????????????????????: You need a defensible approach to how you use AI. ?????? ?????????? ?????????????????? ?????????????? → ?????????????? ???? ?????? ??????????: If you are familiar with ISO 27001, ISO 42001 will feel very natural. Requirements like policies, governance, risk management, will look very familiar to you. → ???? ????????????????????: Clauses 4-10 of ISO 42001 establish an "AI Management System". This is how the program will be governed. → ???? ????????????????: A variety of policy requirements to consider. Including an overall AI policy, defining how you use AI in products, AI appropriate use, and more. → ???? ???????? ????????????????????: Requirement for an AI risk assessment and impact assessment. → ???? ????????????????: The standard includes 38 unique controls that your organization will be assessed against. ?????????? ???????????????? ?????? ?????????????????????????? → If you are already doing ISO 27001 or ISO 27701 this should like a familiar addition. → There is still some fun stuff to figure out. For example, what does a good AI policy look like? What does a good AI risk assessment look like? Reach out to us at EY if you want to discuss more! #ey.ai #resposibleai #digitaltrust #generativeai #iso #iso42001 #trustedai #aistandard

#AI Governance...what is your receipe for success? How will you incorporate #AI into "how we do business?". #embedding into your #culture will take time...don't wait! How can you be successful in #integration in ? #communication, #action, #adjust to regulations, #risk assessment, #demonstrate #transparency, embrace #accountability #quantum is here and will be coming fast! #purposebuilt chips SAS can help implement your compliance strategy into your workflows! Thanks SAS for providing #thoughtful #leadership as part of your #SASChampionship week!

Good vs Bad Practices in AI Governance #GoodBadSeries: Addressing AI-specific risks in Risk Assessment. Gap: Many companies overlook AI-specific risk management, relying on general policies without addressing unique AI risks like algorithm bias, transparency, and explainability. ?? Bad Practice: A financial licensee deployed a “black box” AI model for credit scoring without documented policies or monitoring processes. Their internal report described it as having "limited understanding" of the model and lacking "critical elements" for governance. This lack of structure meant scores were unexplainable, undermining consumer trust and risking bias. ? Good Practice: A proactive company developed AI-specific policies within their risk management framework, routinely testing models for fairness, transparency, and alignment with ethical principles. They created a structured governance process that included routine model evaluations, demonstrating that AI governance must be as robust as the technology itself. ?? Takeaway: Update risk management frameworks for AI-specific risks, it’s essential for transparency, fairness, and trust. Follow me for more insights on #AI for #Business #Leaders. #AIGovernance #RiskManagement #EthicalAI #AITransparency