掌握人工智能治理：赋予组织以负责任的人工智能领导的权力

Empowering organizations to leadwith responsible AI With AI adoption surging globally, organizationsmust adopt governance structures that direct ethical,transparent and responsible AI use. This guide providesa roadmap to implement effective AI governance, Contents 04Overview of this guide 05Understanding AI governance 11Frameworks and tools for effective AI governance 16NTT DATA’s approach to AI governance 22From blueprint to reality 25Conclusion: AI governance is a strategic imperative 26About NTT DATA 26List of abbreviations Overview of this guide We explain NTT DATA’s own approach to AI governance —a model structured to support organizations at everystage of AI deployment, from strategic planning and roledefinition to risk management and operational oversight. Empowering organizations to lead with With AI adoption surging globally, driven by advancementslike generative AI (GenAI), there’s an urgency to adoptgovernance structures that guide ethical, transparent We present a roadmap for practical implementation,starting with our AI Maturity Assessment and As AI technology becomes central to competitivepositioning, organizations must address governance tomitigate risks relating to data-privacy issues, algorithmic This structured approach enables organizations to adoptAI responsibly, aligning with industry standards, regulatoryframeworks and organizational values while fostering both This guide provides a comprehensive approach for We explore the current landscape of AI governance aswell as its meaning and importance. We analyze variousgovernance frameworks, examining global best practices Given the absence of a universally recognized AIgovernance standard, we advocate for a flexible, 1. Understanding AI governance The AI governance journey While the concept of AI governance has been aroundfor more than a decade, it’s been receiving a lot moreattention recently. From our perspective, two factors The first factor is thebroad emergence of GenAIin 2023,and its impact on all aspects of AI. This developmentcaptured the attention of both technology companies and NTT DATA’s research shows that 97% of CEOs anticipatethat GenAI alone will have a material impact on improvingproductivity levels — a view that demonstrates thegrowing confidence in AI’s potential to transform business This growth in the adoption and development of AIrequires the implementation of governance frameworks, The second factor is regulation. Globally, there have beensignificant efforts to establish legal frameworks thatregulate and protect fundamental rights in the use ofAI. Among these initiatives, the European Union’s AI Act By doing so, businesses can navigate complex regulations,mitigate risks and maintain competitiveness while creating Although AI governance is not yet a legal requirementand may currently be viewed as a “nice to have,” this As data-governance policies are being developed, now isthe ideal time to establish AI governance policies. Advancing responsible AI together A global dialogue centered on a unified certificationapproach for AI governance is emerging, reflecting a pivotalmoment in AI policy. Never before has the global community As organizations face increasing compliance costs,particularly in regions like the EU, industry-widecollaboration is essential to balance regulatory demands Definition and importance of Key challenges in AI adoption As organizations increasingly turn to AI to enhancetheir operations and drive innovation, they encounter What is AI governance? AI governance refers to a comprehensive frameworkof strategies, policies and processes designed to guide Ungoverned AI use Adopting AI capabilities without having established anyform of governance framework commonly leads tofragmented efforts, with data silos, incomplete processes, It comprises two key dimensions: 1.Strategic focus: AI governance enables organizationsto harness the potential of AI for exploring newopportunities, enhancing market positioning and As organizations scale their AI capabilities, they quicklyrealize that their current approach is unsustainable. The rapid pace of adoption we see with agentic AIhighlights how ungoverned efforts can quickly shift from 2.Responsible AI development: AI governance guidesand oversees how AI systems are built and managed, inaccordance with ethical principles, legal standards and Without a well-defined governance structure, the risksassociated with a lack of oversight, including inconsistent At this stage, organizations typically recognize the need tolay a solid foundation for AI governance. Why AI governance matters now more than ever Lack of mature governance frameworks Most organizations will not develop their own AIsystems; instead, they will rely on procuring themfrom external vendors. This reality underscores Many organizations struggle with issues relating to datagovernance, ethical risk management, transparency and A robust governance framework is th