Solid overview from Anton Chuvakin and Marina Kaganovich, Esq. identifying key best practices for streamlining and operationalizing AI implementation at scale, including defining guiding principles, leveraging frameworks like Google's SAIF, and partnering with key stakeholders. Essential for effective AI governance in today's evolving landscape. Check out the full article for details! #AIGovernance #AIImplementation #BestPractices

Today’s leaders are eager to adopt #generativeAI technologies and tools. Yet the next question after what to do with it remains: How do you ensure risk management and governance with your AI models? To help organizations navigate AI governance challenges, we’ve outlined 10 best practices to streamline and operationalize AI implementation at scale → https://goo.gle/3QQ8IRx Stratascale – An SHI Company

Many organizations are eager to see the benefits of generative AI but are hesitant to implement it due to risk concerns. Our new article provides insights into how the risk function can help businesses move faster in generative AI adoption. By defining the scope and severity of the risks, aligning principles, processes, and people to manage them, and establishing a durable framework for AI governance, see how risk & compliance professionals can help deliver a Trusted GenAI framework that can help companies harness the power of generative AI and move forward with confidence.

We are experiencing a seismic shift in the adoption of AI technologies to increase productivity and boost operational gains. As regulatory activity ramps up around AI Governance (such as the EU AI Act, US AI Executive Order) and important questions around a lack of AI Risk expertise arise – how can organizations ensure that innovation is in balance with regulation, and that the risks are properly (and responsibly) managed? Well, that’s where we come in! Learn more: https://hubs.li/Q02vntjY0

📣 Panel Alert #TEDAI: Responsible AI – Balancing Innovation and Accountability. 💡 Join industry leaders for a dynamic panel on Responsible AI, where experts will tackle the challenges of balancing innovation with risk management in today’s AI landscape. Gain insights into promoting transparency, mitigating bias, and ensuring AI systems align with business goals and societal values. Meet the Panelists: Peter Hallinan, Director of Responsible AI, AWS – advancing Responsible AI practices at Amazon Web Services. Ed Newton-Rex, Founder, Fairly Trained – building fairer AI training data practices and leading innovations in generative AI. Susannah Stroud Wright, Chief Legal Officer, Credit Karma – managing legal and compliance for one of the largest financial tech companies. 📝 Moderator: Jennifer Kosar, Partner, US Assurance AI Leader, PwC – helping organizations implement responsible AI practices and GenAI capabilities. Join this essential conversation to explore practical strategies for deploying AI responsibly in a rapidly evolving world. ✨ Be the part of #TEDAI 2024 and explore how innovative organizations are leading the way in creating AI with lasting positive impact. #ResponsibleAI #AIInnovation #AIEthics #AIRegulation

𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: 𝗴𝗿𝗲𝗮𝘁 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗰𝗼𝘂𝗽𝗹𝗲𝗱 𝘄𝗶𝘁𝗵 𝗵𝘂𝗴𝗲 𝗿𝗶𝘀𝗸𝘀 Safeguard your assets in the age of #AI: check out the #infographic below, offered to you by SwanAdvisory. Next week we will publish our #whitepaper, here on LinkedIn. Short summary: ✔ Technology leaders say #AI implementation introduces moderate to high-risk concerns ✔ Most companies are still in the early stages of evaluating #risk and risk mitigation strategies ✔ #AI technologies are drastically outpacing the speed at which laws and regulations are evolving Business Owner, Treasurer or Risk Manager? Delve deeper into the subject with SwanAdvisory, learn more about all of the key findings on #AI in our whitepaper and fortify your defenses! Follow SwanAdvisory on this platform: whitepaper "𝗔𝗥𝗧𝗜𝗙𝗜𝗖𝗜𝗔𝗟 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗖𝗘 𝗥𝗜𝗦𝗞𝗦: 𝗧𝗥𝗘𝗡𝗗𝗦 𝟮𝟬𝟮𝟰" will be available next week! 📖

Did you know 85% of AI projects fail due to bias or mismanagement, and 61% of companies lack internal AI guidelines? As AI transforms industries, having the right frameworks in place is critical. Rob van der Veer, AI pioneer and veteran at Software Improvement Group and leading author for the EU AI Act security standard, has just released the definitive AI readiness guide – offering leaders a practical roadmap to address governance, risk management, development, and security challenges head-on. Download it for free here 👉 https://lnkd.in/gGEJNKNj   Developed with Software Improvement Group, this guide will help you ensure your organization is prepared to adopt AI responsibly and successfully. Gain insights to mitigate risks, streamline processes, and avoid common pitfalls.   Don’t leave your AI future to chance—be ready. Download the guide for free!   #AI #ArtificialIntelligence #Governance #RiskManagement #AIReadiness

As AI becomes a top priority for state and local governments, and with AI-related policies being introduced across the United States, the challenges of AI adoption, risk management, and scaling are increasingly relevant. We invite you to watch our on-demand panel discussion, “AI in State and Local Government: Strategies for Adoption, Deployment, and Risk Management,” to gain insights on these issues. Join state and local government leaders, Microsoft, and HSO as we explore the complexities of generative AI, data protection, ethical considerations, and practical use cases. Watch on-demand: https://bit.ly/3VIHVs7 #AI #PublicSector #DigitalTransformation #RiskManagement #AIAdoption #StateGovernment #LocalGovernment #HSO #MicrosoftPartner

Welcome to the #ResponsibleAIMinute. It is prediction season! Seems like everyone, including me if I'm honest, is working on an article about what to expect in 2025. And this week's PWC 2025 AI Business Predictions are worth a review. PWC has six areas of focus for AI and Business in 2025. For the purpose of this post, I'd like to call out No. 3: ROI for AI Depends on Responsible AI. WOW!!!!! Now, that is the way to get businesses to pay attention by connecting Responsible AI to ROI. Pulling directly from the report: "In 2025, company leaders will no longer have the luxury of addressing AI governance inconsistently or in pockets of the business. As AI becomes intrinsic to operations and market offerings, companies will need systematic, transparent approaches to confirming sustained value from their AI investments. They’ll also need to manage the risks of large-scale deployment. Rigorous assessment and validation of AI risk management practices and controls will become non-negotiable. Even if the specifics of AI assessment and validation are not mandated, stakeholders will demand it — just as they demand confidence in other decision-critical information (such as financial results) or in cybersecurity or privacy practices." DROP THE MIC! Here is the whole report if you'd like to take a look. https://lnkd.in/g8zY4Wtr

As businesses continue to explore and test AI use cases at scale, oversight from regulators will increase. This means mounting pressure for organizations to establish guardrails, monitor faults in algorithms or inaccurate training data, and assess for bias and hallucinations. But who in the organization owns this responsibility? This virtual discussion explores how managed operations are poised to play the role of overseer, managing risk and meeting compliance requirements associated with AI. In this webinar, we'll cover: How AI growth can have a significant impact on highly regulated industries from a compliance standpoint. The importance of building out governance and control processes from a corporate risk perspective before rolling out AI algorithms. The important factors in establishing a governance position on responsible tech for AI strategy. Why it's crucial to establish the necessary foundations before implementing AI engines across the enterprise at scale. How dashboards and reports can be generated from operations and fed into the managed services database to spot anomalies. #AI #compliance #operations #governance #ownership