This book offers a forward-looking perspective on the convergence of artificial intelligence (AI) and biotechnology, and its transformative impact on synthetic biology. As these fields evolve rapidly, their integration is reshaping science, industry, and society in profound ways.

Through a collection of rigorously researched chapters, the volume provides a comprehensive analysis of this dynamic relationship, offering valuable insights for researchers, practitioners, policymakers, and educators.

I Convergence of AI and Biotechnology

An overview of how AI-driven analytics and machine learning are revolutionizing biotechnological applications, enabling innovative solutions and breakthroughs in synthetic biology.

II Modernization of Biotechnology

A comparative look at traditional methods versus AI-enhanced approaches in areas such as drug discovery, genetic engineering, and bioinformatics, highlighting increased precision and accelerated progress.

III Governance, Risk, and ELSI

Examining the ethical, legal, and social implications (ELSI) of AI-biotech integration, this section discusses frameworks for responsible innovation, emphasizing transparency and public engagement.

IV Information Hazards

A critical exploration of data privacy, security risks, and ethical dilemmas arising from the convergence of these technologies, with strategies to mitigate potential harms while maximizing societal benefits.

This book is an essential resource for understanding the evolving landscape of synthetic biology and the broader implications of AI-biotech convergence.

This book offers a forward-looking perspective on the convergence of artificial intelligence (AI) and biotechnology, and its transformative impact on synthetic biology. As these fields evolve rapidly, their integration is reshaping science, industry, and society in profound ways.

Through a collection of rigorously researched chapters, the volume provides a comprehensive analysis of this dynamic relationship, offering valuable insights for researchers, practitioners, policymakers, and educators.

I Convergence of AI and Biotechnology

An overview of how AI-driven analytics and machine learning are revolutionizing biotechnological applications, enabling innovative solutions and breakthroughs in synthetic biology.

II Modernization of Biotechnology

A comparative look at traditional methods versus AI-enhanced approaches in areas such as drug discovery, genetic engineering, and bioinformatics, highlighting increased precision and accelerated progress.

III Governance, Risk, and ELSI

Examining the ethical, legal, and social implications (ELSI) of AI-biotech integration, this section discusses frameworks for responsible innovation, emphasizing transparency and public engagement.

IV Information Hazards

A critical exploration of data privacy, security risks, and ethical dilemmas arising from the convergence of these technologies, with strategies to mitigate potential harms while maximizing societal benefits.

This book is an essential resource for understanding the evolving landscape of synthetic biology and the broader implications of AI-biotech convergence.