Digitalization is changing society by the increased connectivity and networking that digital technologies enable, such as enhancing communication, services, and trade. Increasingly, policymakers within various national governments and international organizations such as the United Nations (UN) and Organization for Economic Co-operation and Development (OECD) are examining the original sustainability policy concepts applied within the Brundtland Report of 1987 through the lens of digitalization. While the growth of a digital economy may increase productivity and benefit local and global economies, digitalization also raises potential sustainability challenges pertaining to social (i.e., the benefits or costs imposed by disruptive digital technologies upon social networks and ways of life, including threats to economic sustainability and the rise of economic disparity) and environmental wellbeing (i.e., natural resource stewardship and concern for future generations) driven by the automation of information processing and delivery of services. Various perspectives have been raised regarding how the process of digitalization might be governed, and national governments remain at odds regarding a single best strategy to promote sustainable digitalization using the Brundtland concept to meet the development needs of the present without compromising the needs of future generations (i.e., social and environmental well-being). This paper reviews three governance strategies that countries can use in conjunction with adaptive governance to respond to digitalization sustainability threats: (i) a laissez-faire, industry-driven approach; (ii) a precautionary and preemptive strategy on the part of government; and (iii) a stewardship and “active surveillance” approach by government agencies that reduce the risks derived from digitalization while promoting private sector innovation. Regardless of a state’s digital governance response and how it is shaped by political and institutional realities, adaptive governance approaches are likely necessary to address the economic and social sustainability challenges posed within differing manifestations of digitalization.

Synthetic biology is an emerging technology with potential benefits to various fields, yet also contains potential risks to human and environmental health. The field remains in an emerging state with limited quantitative guidance and a small but growing population of international researchers that conduct work within this field. Given the uncertain nature of this technology, an adaptive and anticipatory governance framework may be necessary to balance the potential benefits that may accrue from the technology's continued research alongside a desire to reduce or eliminate potential risks that may arise. However, such developments must account for the unique political and institutional factors that form a government's risk culture - something that can facilitate or impede the development of adaptive synthetic biology governance moving forward. The TAPIC framework helps illustrate those factors that are essential to develop good governance for emerging technologies like synthetic biology. Specifically, an application of TAPIC to synthetic biology governance indicates that the factors of accountability, participation, and integrity must be bolstered to improve technology governance in governments like with the United States, European Union, and Singapore.

The convergence of AI and synthetic biology is revolutionizing biological discovery and engineering. This manuscript examines how AI-driven tools accelerate bioengineering workflows, unlocking innovations in medicine, agriculture, and sustainability. It also addresses dual-use risks, governance gaps, and ethical dilemmas posed by these advancements, proposing strategies for oversight and updated regulations. By exploring opportunities and risks, this work highlights the transformative potential of AI-driven synthetic biology and pathways for responsible development.

The fast‐paced field of synthetic biology is fundamentally changing the global biosecurity framework. Current biosecurity regulations and strategies are based on previous governance paradigms for pathogen‐oriented security, recombinant DNA research, and broader concerns related to genetically modified organisms (GMOs). Many scholarly discussions and biosecurity practitioners are therefore concerned that synthetic biology outpaces established biosafety and biosecurity measures to prevent deliberate and malicious or inadvertent and accidental misuse of synthetic biology's processes or products. This commentary proposes three strategies to improve biosecurity: Security must be treated as an investment in the future applicability of the technology; social scientists and policy makers should be engaged early in technology development and forecasting; and coordination among global stakeholders is necessary to ensure acceptable levels of risk.