Understanding agent governance technology approaches
Abstract
Agent artificial intelligence (AI) automates AI using the reasoning power of large language models (LLMs) to make decisions without human intervention. A governance framework is needed to create transparency of decision lineage in multi-agent systems to offer fixes throughout the life cycle of agent development and deployment to ensure agency and safety for humans. This paper outlines five approaches to agent governance and compares the different approaches to offer guidance on this important topic across multiple industries. This includes tracking for metrics,1 security risk from agents calling application programming interfaces (APIs),2 data governance,3 human-in-the-loop approaches,4 and rules to test adversarial attacks for edge cases.5 This paper is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.
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Author's Biography
Sudha Jamthe is a technology futurist, a globally renowned author, educator, and independent researcher with more than 25 years’ entrepreneurial and operational experience in the technology industry. Sudha is a top LinkedIn Learning instructor for courses on artificial intelligence (AI), generative AI (Gen AI), agentic AI and Internet of Things (IoT), who enjoys mentoring business leaders to innovate with no-code AI. Her research focuses on AIX design, autonomous vehicles, and language AI. Sudha builds online learning communities at Weeklywed at Business School of AI and spotlights the voices of women at IoTWomen. She has developed and taught AI, AI ethics, and autonomous vehicles courses at Stanford Continuing Studies, Barcelona Technology School, Business School of AI and EMBA Consortium at Lucas School of Business. She co-founded Global South in AI and upskills language researchers for world languages.
Yashaswini is an AI Agent Specialist at LarsenToubroMindtree (LTM), Bangalore. She has over a decade of experience with intelligent automation and pursues artificial intelligence (AI) in both research and practice. Yashaswini completed her master’s in tech (AI) and is a doctoral research scholar at Reva University. She specialises in emerging tech and is knowledgeable with the latest happenings in the ever-changing tech landscape.
