Principles of AI Governance and Model Risk Management: Master the Techniques for Ethical and Transparent AI Systems
Sayles, James
相關主題
商品描述
Navigate the complex landscape of Artificial Intelligence (AI) governance and model risk management using a holistic approach encompassing people, processes, and technology. This book provides practical guidance, oversight structure and centers of excellence, and actionable insights for organizations seeking to harness the power of AI responsibly, ethically, and transparently. By addressing the technical, ethical, and societal dimensions of AI governance, organizations will be empowered to build trustworthy AI systems that benefit both their bottom line and the broader community.
Featuring successful mitigating controls based on proven use cases, the book underscores the importance of aligning AI strategy with AI governance, striking a balance between AI innovation, risk mitigation as well as broader business goals. You'll receive pointers for designing a well-governed AI development lifecycle, emphasizing transparency, accountability, and continuous monitoring throughout the AI development lifecycle. This book highlights the importance of collaboration between stakeholders, i.e., boards of directors, CxOs, corporate counsel, compliance officers, audit executives, data scientists, developers, validators, etc.
You'll gain practical advice on addressing the challenges related to the ownership of AI-generated content and models, stressing the need for legal frameworks and international collaboration. You'll also learn the importance of auditing AI systems, developing protocols for rapid response in case of AI-related crises, and building capacity for AI actors through education. Principles of AI Governance and Model Risk Management demonstrates its value-added uniqueness by detailing a strategy to ensure a cohesive approach to managing AI-related risks, global compliance, policy, privacy, and AI-human collaboration and oversight.
What You Will Learn
- Different approaches to AI adoption, from building in-house AI capabilities to partnering with external providers
- Key factors to consider when choosing an AI solution and how to ensure its successful integration into existing workflows
- AI technologies, their business impact, and ethical considerations to make informed decisions and foster responsible AI
- The environmental impacts of AI systems and the need for sustainable practices in AI development and deployment.
Who This Book is For
Business executives and process owners/representatives, risk officers, cybersecurity professionals, legal counsel and ethics officers, human resource professionals, data scientists, AI developers, and CTOs.
商品描述(中文翻譯)
導航人工智慧 (AI) 治理與模型風險管理的複雜領域，採用涵蓋人員、流程和技術的整體方法。本書提供實用指導、監督結構和卓越中心，以及可行的見解，幫助尋求負責任、倫理和透明地利用 AI 力量的組織。通過解決 AI 治理的技術、倫理和社會層面，組織將能夠建立值得信賴的 AI 系統，既能促進自身的利潤，也能惠及更廣泛的社會。
本書以成功的緩解控制為特色，基於經過驗證的案例，強調將 AI 策略與 AI 治理對齊的重要性，在 AI 創新、風險緩解以及更廣泛的商業目標之間取得平衡。您將獲得設計良好治理的 AI 開發生命週期的指導，強調在整個 AI 開發生命週期中保持透明度、問責制和持續監控。本書突顯了利益相關者之間合作的重要性，即董事會、CxO、公司法律顧問、合規官、審計主管、數據科學家、開發人員、驗證者等。
您將獲得針對 AI 生成內容和模型所有權相關挑戰的實用建議，強調法律框架和國際合作的必要性。您還將了解審計 AI 系統的重要性、在 AI 相關危機中快速反應的協議開發，以及通過教育提升 AI 參與者的能力。《AI 治理與模型風險管理原則》通過詳細說明確保對 AI 相關風險、全球合規性、政策、隱私以及 AI 與人類合作和監督的整體管理方法的策略，展示其增值獨特性。
您將學到的內容包括：
- 不同的 AI 採用方法，從建立內部 AI 能力到與外部供應商合作
- 選擇 AI 解決方案時需要考慮的關鍵因素，以及如何確保其成功整合到現有工作流程中
- AI 技術、其商業影響及倫理考量，以便做出明智的決策並促進負責任的 AI
- AI 系統的環境影響以及在 AI 開發和部署中需要可持續實踐。
本書適合的讀者包括商業高管和流程擁有者/代表、風險官、網絡安全專業人士、法律顧問和倫理官、人力資源專業人士、數據科學家、AI 開發人員和 CTO。
作者簡介
With over 25 years in executive leadership in AI Strategies, Governance and Model Risk Management, Data Governance, and Cybersecurity solutions, James is a certified AI Governance Strategist, Certified Chief Information Security Officer, and Enterprise Governance Risk and Compliance (GRC) Executive. He has a Big 4 tenure and has helped Fortune companies execute global AI/data governance and model risk management frameworks, eGRC ecosystems, and business-aligned cybersecurity strategies across industry diversification in the public and private sectors. He is a regulatory compliance/RegTech expert with unique skills in Financial Services and Healthcare and is passionate about leading the charge for ethical and trustworthy AI systems. Moreover, he has advised senior business executives and their board of directors on the necessary disciplines, thought leadership, and managerial responsibilities that are defined as good governance.
James is an entrepreneur at heart and takes pride in being an industry trailblazer and developing key business strategies. His career exhibits the ability to solve business problems at the intersection of business and technology. He's founded and co-founded a few companies specializing in AI development, data governance and privacy, risk-governance strategies, enterprise governance, risk and compliance management, and cybersecurity. AI governance and risk management is a current focus. He continues to seek ways to automate business processes using AI.
作者簡介(中文翻譯)
詹姆斯在人工智慧策略、治理與模型風險管理、數據治理及網絡安全解決方案方面擁有超過25年的高層領導經驗。他是一位認證的人工智慧治理策略師、認證的首席資訊安全官，以及企業治理風險與合規（GRC）高管。他曾在四大會計師事務所任職，並協助《財富》500強公司執行全球人工智慧/數據治理和模型風險管理框架、電子GRC生態系統，以及在公共和私營部門中與業務對齊的網絡安全策略。他是一位合規/RegTech專家，擁有金融服務和醫療保健領域的獨特技能，並熱衷於推動道德和可信賴的人工智慧系統。此外，他還向高層商業主管及其董事會提供有關良好治理所需的學科、思想領導力和管理責任的建議。
詹姆斯內心是一位企業家，並以成為行業先驅和發展關鍵商業策略而感到自豪。他的職業生涯展現了在商業與技術交匯處解決商業問題的能力。他創立和共同創立了幾家公司，專注於人工智慧開發、數據治理與隱私、風險治理策略、企業治理、風險與合規管理以及網絡安全。人工智慧治理和風險管理是他目前的重點。他持續尋求利用人工智慧自動化商業流程的方法。
