This chapter examines the governance and management of AI within the ServiceNow ecosystem, emphasizing the critical need for ethical, secure, and compliant adoption. It explores key governance components, including data privacy, model transparency, bias detection, performance monitoring, and regulatory compliance, supported by ServiceNow’s tools such as AI Dashboard, AI Agent Analytics, and AI Control Tower. The chapter highlights how IT leaders can establish governance frameworks, embed ethical principles, and prepare for emerging regulatory requirements. By implementing these strategies, organizations can ensure responsible AI adoption that builds trust, mitigates risk, and drives sustainable value in IT Service Management.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Governance and Management of AI in ServiceNow

  • Saaniya Chugh

摘要

This chapter examines the governance and management of AI within the ServiceNow ecosystem, emphasizing the critical need for ethical, secure, and compliant adoption. It explores key governance components, including data privacy, model transparency, bias detection, performance monitoring, and regulatory compliance, supported by ServiceNow’s tools such as AI Dashboard, AI Agent Analytics, and AI Control Tower. The chapter highlights how IT leaders can establish governance frameworks, embed ethical principles, and prepare for emerging regulatory requirements. By implementing these strategies, organizations can ensure responsible AI adoption that builds trust, mitigates risk, and drives sustainable value in IT Service Management.