“Middle Tech: Software Work and the Culture of Good Enough” with Professor Paula Bialski

Middle Tech on Bridging the Gaps

Contrary to the widespread belief that all technology is sleek, flawless, and cutting-edge, much of it isn’t designed to meet such high standards or be revolutionary. In many environments, the goal isn’t always to create perfect, futuristic products. Instead, the focus is often on functionality—producing tech that is good enough to meet immediate needs without striving for perfection. This mindset contrasts with the image of the tech world as a space of constant innovation, where every new development is expected to disrupt industries and change lives. Instead, in many cases, the aim is to simply keep things running smoothly, making sure the technology works well enough to get by, while knowing that it will likely be improved or replaced in the next version. In her book “Middle Tech: Software Work and the Culture of Good Enough” Professor Paula Bialski explores this idea through an ethnographic study of software developers working at a corporate tech company. In this episode of Bridging the Gaps, I speak with Professor Paula Bialski.

Paula Bialski is associate professor of digital sociology at the University of St. Gallen in St. Gallen, Switzerland.

We begin our discussion by exploring why Paula chose to conduct her study at a mid-sized software development company, rather than focusing on the world’s top tech firms with their sleek offices and cutting-edge facilities. This choice allowed her to investigate a more grounded and realistic aspect of the tech industry. From there, we dive into how she conducted her research—how she embedded herself with the developers and built rapport to understand their day-to-day work and culture.

A major focus of our conversation is the concept of “good enoughness” in corporate software development. Paula explains how this mindset shapes the way tech workers approach their tasks, balancing functionality and time constraints over perfection. I ask her if “good enough” can sometimes become a way to avoid striving for excellence, or even an excuse for sloppiness, which leads us to a broader conversation about how developers navigate this balance.

We also discuss the challenges software engineers face at work, such as dealing with outdated systems, tight deadlines, and corporate expectations, and how these challenges compare to those in other professions. We also touch upon the challenges they face in their personal space. Paula gives insight into how the fast-paced culture of the tech world, where professionals often move quickly from one job to the next, influences the work environment.

Finally, we briefly touch on Paula’s upcoming project, which will examine the impact of AI on software development—a topic that promises to provide new insights into how technology will continue to shape this field. It has been a fascinating conversation that sheds light on a side of the tech industry not often discussed.

Complement this discussion with “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” with Eric Siegel. And then listen to Augmented Thinking: The New Convergence of Art, Technology, and Science with Professor Julio Ottino

By |October 6th, 2024|Computer Science, Social Science, Technology|
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“The Secret Life of Data: Navigating Hype and Uncertainty” with Aram Sinnreich and Jesse Gilbert

Secret of Data Book Reviewed at Bridging the Gaps

As fresh algorithms and new analytical methods emerge, existing datasets can uncover insights beyond their original purpose. Regardless of their intended use, data often possess hidden potentials and always have a “secret life”. “How this data will be used, by other people in other times and places, has profound implications for every aspect of our lives—from our intimate relationships to our professional lives to our political systems”, argue Professor Aram Sinnreich and Jesse Gilbert in their new book “The Secret Life of Data: Navigating Hype and Uncertainty in the Age of Algorithmic Surveillance”. This phenomenon raises various moral, ethical, and legal questions: Should we use datasets for unexpected and unforeseen insights? Should we create new frameworks to control and regulate using datasets for purposes beyond their original intent? Ignoring opportunities to analyse data in new ways might limit their potential, but pursuing them introduces ethical dilemmas. In this episode of Bridging the Gaps, I speak with Professor Aram Sinnreich and Jesse Gilbert.

Aram Sinnreich is an author, professor, and musician. He is Chair of Communication Studies at American University. Jesse Gilbert is an interdisciplinary artist exploring the intersection of visual art, sound, and software design at his firm Dark Matter Media. He was the founding Chair of the Media Technology department at Woodbury University.

I begin the conversation by setting the stage for our listeners and delving into the idea of the “secret life of data” as discussed in the book. We then delve deeper into the nature and scale of the challenge posed by this phenomenon. One key point highlighted in the book is that the challenge is primarily conceptual—we’re uncertain about what exactly we’re aiming to control, handle, and regulate. We thoroughly explore this aspect.

To address this “conceptual challenge,” the book provides a comprehensive overview of various frameworks and approaches that have been developed and are currently utilised to tackle similar challenges. The book then extends these concepts to envision and propose a framework that could aid us in addressing this particular challenge. We discuss in detail a number of existing frameworks outlined in the book, and then explore the possibilities to address these emerging challenges. Overall, this conversation has been immensely interesting and enlightening.

Complement this discussion with “Dark Data: Why What You Don’t Know Matters” with Professor David Hand and then listen to Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer

By |May 20th, 2024|Artificial Intelligence, Computer Science, Future, Information, Podcasts|
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“Evolutionary Intelligence: How Technology Will Make Us Smarter” with Professor W. Russell Neuman

Evolutionary Intelligence book reviewed at Bridging the Gaps

Artificial intelligence (AI) has emerged as one of the most remarkable advancements of our time. It is a powerful evolving technology that has transformed the way we interact with machines and perceive the capabilities of computer systems. However, with this newfound power comes a natural apprehension. There is a noticeable fear surrounding the unintentional consequences and unintended implications of Artificial Intelligence. As this technology becomes increasingly integrated into our daily lives, the question is: how justified are our fears and just how tangible, and how real is the threat posed by this revolutionary technology? Perhaps, the underlying cause of these fears is our tendency to unjustifiably attribute human traits to the machines we may construct.

A compelling new perspective suggests that human intelligence will evolve alongside digital technology, leading to a transformative coevolution of human and artificial intelligence. This augmented intelligence will reshape our thinking and behaviour. In his recent book “Evolutionary Intelligence: How Technology Will Make Us Smarter” Professor W. Russell Neuman offers a remarkably optimistic perspective where computational intelligence not only addresses the well-known limitations of human judgement but also enhances decision-making capabilities and expands our capacity for action. In this episode of Bridging the Gaps, I speak with Professor W. Russell Neuman. We discuss how our future depends on our ability to computationally compensate for the limitations of the human cognitive system. We explore Neuman’s viewpoint that “if intelligence is the capacity to match means with ends, then augmented intelligence can offer the ability to adapt to changing environments as we face the ultimate challenge of long-term survival”. Professor Neuman’s distinctive approach to explain complex concepts through narratives and anecdotes adds an engaging layer of interest to this discussion. This highly informative discussion makes a powerful argument for the continued coexistence of humans and their machines.

W. Russell Neuman is Professor of Media Technology at New York University. He is a specialist in new media and digital education. He is a founding faculty of the MIT Media Lab. He served as a Senior Policy Analyst in the White House Office of Science and Technology Policy, working in the areas of information technology, broadband policy, and technologies for border security.

Complement this discussion with Reclaiming Human Intelligence and “How to Stay Smart in a Smart World” with Prof. Gerd Gigerenzer and then listen to “Working with AI: Real Stories of Human-Machine Collaboration” with Professor Thomas Davenport and Professor Steven Miller.

By |March 31st, 2024|Artificial Intelligence, Computer Science, Future, Information, Knowledge, Podcasts, Technology|
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