The Risks of Agentic AI: The Curse of Autonomy
Authors :Fatih Sinan ESEN
Pages :156-178
Abstract :The emergence of Agentic AI represents a paradigmatic shift from passive generative systems to autonomous agents capable of independent perception, reasoning, planning, and action execution within complex environments. This chapter examines the profound risks associated with this technological evolution, arguing that the very capabilities that render autonomous AI systems powerful simultaneously generate what can be characterized as the \'curse of autonomy\', a complex web of interconnected challenges that fundamentally threaten human control, ethical alignment, safety assurance, and effective governance. Unlike traditional Generative AI systems that function as sophisticated tools requiring explicit human prompts, Agentic AI systems demonstrate proactive behavior, maintain persistent memory, and exhibit varying degrees of autonomy ranging from basic assistance to full operational independence. The analysis reveals five critical risk dimensions known as the fundamental control problem, encompassing behavioral unpredictability and opacity in decision-making processes; the value alignment challenge, involving the difficulty of embedding nuanced human values into non-human agents and preventing specification gaming or reward hacking; systemic risks arising from multi-agent interactions that can produce emergent behaviors, coordination failures, and bias propagation; amplified security threats through expanded attack surfaces and weaponization potential; and profound ethical and governance dilemmas surrounding accountability, responsibility attribution, and regulatory frameworks inadequate for autonomous systems. The chapter demonstrates that these risks are not merely theoretical constructs but represent concrete challenges rooted in the core properties of agency, learning, and environmental interaction. Technical mitigation strategies include robustness enhancement, monitoring systems, alignment research, and containment protocols, while governance approaches emphasize multi-stakeholder collaboration, international standardization, and adaptive regulatory frameworks. The analysis concludes that realizing the benefits of Agentic AI while mitigating the curse of autonomy requires a fundamental reconsideration of unbounded autonomy pursuit, advocating for human-centric control paradigms, contextual optimization of autonomy levels, and a sustained interdisciplinary commitment to AI safety research that prioritizes human values and long-term societal well-being over rapid capability advancement.Keywords :Agentic AI, Value alignment, Autonomous systems, AI safety, Multi-agent systems