278 | Kieran Healy on the Technology of Ranking People
Jun 10, 2024
01:15:56
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Sociologist Kieran Healy discusses how technology ranks people, from societal impacts to privacy concerns. They explore data collection advancements, the evolution of technology in various industries, and the influence of AI and large language models. The conversation delves into privacy challenges, institutional phenomena, and the dynamic impact of human interactions within pervasive systems.
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Quick takeaways
Ranking individuals is a common human tendency influenced by technology.
Data collection enhances financialization trends and predicts income streams.
Technological advancements raise concerns about data monetization and service concentration.
Deep dives
Impact of Data Collection on Social Life
The expansion of data collection methods has transformed social life, with individuals now being monitored and tracked in various ways. Rather than just surveillance, social activities are now mediated through technologies, creating a new way of interacting and being monitored. This shift has changed how people perceive their online identity and visibility, affecting individuals across different age groups.
Evolution of Financialization and Data Collection
The integration of data collection devices in everyday objects aligns with the financialization trend, where companies aim to turn every transaction into a revenue stream. This approach includes maintaining ongoing relationships with customers by offering warranties, loans, and other services based on data collected from devices like cars, fridges, or tractors. The continuous data flow enables companies to predict income streams and enhance shareholder value.
Transition from Free Gifts to Profitable Data
Technological advancements, like artificial intelligence, often begin as free gifts to users, sparking excitement and delight. Users willingly provide information about their behaviors, interactions, and preferences, leading companies to monetize this data. However, the concentration of service provision among a few dominant players, like in the smartphone industry, raises concerns about the potential implications and limitations of artificial intelligence in shaping future digital interactions.
The evolution of data in car insurance and market intelligence
Car manufacturers are integrating data from vehicles to personalize insurance premiums based on individual driving behavior, transforming the insurance market. Similarly, companies like John Deere are leveraging data from farm equipment to offer market intelligence services, potentially selling information to interested parties for various products.
Impact of data classification on social structures and individual lives
Data classification systems significantly influence social structures and individual lives, impacting opportunities, costs, and societal roles. The classification of individuals by institutions can result in stratification affecting life outcomes, from additional fees based on data profiles to challenges in changing one's classification. These systems, while efficient in decision-making, raise concerns about personal agency and the loss of interstitial liberties between organizations.
We claim to love all of our children, friends, and students equally. But perhaps deep down you assign a ranking to them, from favorite to not-so-favorite. Ranking and quantifying people is an irresistible human tendency, and modern technology has made it ubiquitous. In this episode I talk with sociologist Kieran Healy, who has co-authored (with Marion Fourcade) the new book The Ordinal Society, about how our lives are measured and processed by the technological ecosystem around us. We discuss how this has changed how relate to ourselves and the wider world.
Kieran Healy received his Ph.D. in sociology from Princeton University. He is currently a professor of sociology at Duke University, and a member of the Kenan Institute for Ethics. As an undergraduate at University College Cork he won the Irish Times National Debating competition. He has a longstanding interest in data visualization.