This chapter examines the accelerating convergenceConvergence of artificial intelligenceArtificial Intelligence (AI) (AI) and biotechnologyBiotechnology, a transformative development reshaping scientific discovery, technological innovation, and global governanceGovernance. As AIArtificial Intelligence (AI) methods, particularly machine learning (ML), deep learning (DL), and natural language processing (NLP), are increasingly applied to biological research and engineering, they enable new capabilities ranging from protein structure prediction and gene editing to AI-driven design of biological systems. These developments mark not only the integration of tools and techniques but the emergence of new paradigms at the intersection of computation and biology. We explore how this convergenceConvergence unfolds across multiple domains, detailing both its profound opportunities and systemic risks. The chapter identifies four core integration paradigms: AI-augmented biological design, biological computing substrates, distributed biological intelligence, and synthetic systems at the AI-biology interface, highlighting the potential for cascading dynamics and identifying measures for assessing and mitigating risk. In parallel, we consider how diverse stakeholder perspectives shape interpretations of uncertainty, with implications for public trust, innovation policy, and regulatory design. A central contribution of the chapter is its ten governanceGovernance principles grounded in an adaptive, pluralistic, and capability-based approach. Drawing on theories of complex systems, risk, and uncertainty, the chapter outlines mechanisms for anticipating emerging challenges, managing dual-use concerns, and fostering inclusive, participatory approaches to decision-making. The future of this interface relies not only on technological advances but on our ability to ensure that innovation proceeds in ways that are safe, equitable, and aligned with societal priorities and values. By integrating empirical case studies with conceptual frameworks, this chapter offers guidance for scholars, policymakers, and practitioners seeking to responsibly navigate the convergenceConvergence of AIArtificial Intelligence (AI) and biotechnologyBiotechnology.