Published 13 Jan 2026
Duration: 1923
The podcast discusses developing responsible AI systems, highlighting the importance of structured practices, regulations, and interdisciplinary collaboration in creating compliant, scalable, and effective AI projects.
This interview was recorded for the GOTO Book Club. http://gotopia.tech/bookclub Check out more here: https://gotopia.tech/episodes/409 Dr. Larysa Vis...
The podcast addresses the complexities involved in creating and implementing responsible AI systems, underscoring the importance of structured engineering approaches, comprehensive documentation, and alignment with regulatory standards such as the EU AI Act. It emphasizes that compliance with legal requirements is an engineering challenge, requiring attention to data governance, quality management, and the operationalization of AI systems as they move from prototypes to real-world deployment.
The discussion highlights the use of frameworks like Crisp ML and the Machine Learning Canvas to help manage and organize the complexity of AI projects. These tools are presented as essential for fostering interdisciplinary collaboration, enabling proactive planning, and ensuring effective metadata management throughout the AI development lifecycle. The referenced book is described as a practical resource designed to support both technical teams and non-technical leaders in navigating the intersection of AI development, legal compliance, and quality assurance through structured methodologies and actionable checklists.
19 Jun 2026 Continuous Delivery in a World of Constant Change Abby Bangser & Dave Farley
Continuous delivery principles, AI's challenges in code generation, and the necessity of incrementalism, rigorous testing, and human validation in software development are emphasized, alongside critiques of AI's lack of precision and the push for structured validation in high-stakes systems.
16 Jun 2026 Go for Java Programmers Barry Feigenbaum & Shon Saliga
Go emphasizes simplicity, concurrency, and efficiency for lightweight applications through explicit error handling and goroutines, while Java offers a feature-rich, object-oriented framework with extensive libraries and inheritance for complex, general-purpose systems, each suited to distinct development priorities and domains.
12 Jun 2026 Engineering Leadership in Turbulent Times Sarah Wells, Pat Kua & Daniel Terhorst-North
The text contrasts technical leadership and management, highlighting leadership's emphasis on vision and team alignment with management's focus on systems and accountability, while exploring change strategies, frameworks like the "Three Threes Model," challenges in technical debt and cross-functional alignment, and the role of communication, culture, and adaptability in fostering innovation.
9 Jun 2026 Modern Concurrency in Java Bazlur Rahman & Michael Redlich
Modern Java concurrency explores the shift from traditional threads to virtual threads (JDK 21) and structured concurrency, emphasizing scalability for I/O-bound tasks, task management simplification, limitations in CPU-bound work, comparisons with reactive programming, adoption challenges, and the book's unification of knowledge around Project Loom and scoped values for intermediate developers.
5 Jun 2026 Roc & Zig: A Compiler Rewrite Story Anjana Vakil & Richard Feldman
The text covers Rock's evolution as a simplified, statically typed alternative to Elm with a Zig-based compiler, AI's expanding role in software development beyond automation, open-source challenges, education's shift toward conceptual understanding, and the tension between rapid AI-driven productivity and quality-focused project development.