New Instruments of Governance: When the Internet of Things Becomes the Law

TL;DR

The paper argues that our current post-war governance structures are failing in the face of real-time social media and Web 2.0. To solve this, the authors propose a radical shift: leveraging the Internet of Things (IoT) and Persuasive Technologies to create a decentralized, automated governance system where the objects around us (cars, phones, home appliances) regulate our behavior by functioning—or refusing to function—based on our compliance with societal rules.

Background: The Crisis of Agency

We are living in an era where power has shifted toward individuals through digital coordination (e.g., the London Riots or the Arab Spring), yet our governing bodies remain stuck in slow, bureaucratic cycles. Citizens feel a lack of agency over how their taxes are spent and a disconnect from local governance. The authors argue that we need a "radical rethink"—moving away from central authorities toward semi-organized networks where the technology fabric itself stabilizes society.

The Core Insight: Two New Principles of Technology Behavior

The authors challenge the assumption that "working technology" is an unconditional right. Instead, they propose a conditional relationship between humans and their tools:

1. Conditional Functionality: "Technology around us only continues to work as expected if we behave as expected." Your car might refuse to start if you have unpaid speeding tickets; your boiler might limit hot water if you commit tax fraud.
2. Active Mediation: ICT devices should move from being passive tools to active participants in societal mediation. They act as neutral third parties that "restore the social fabric" by preventing or resolving conflicts with regulations.

(Note: This conceptual loop involves Sensing human behavior -> Evaluating against encoded laws -> Influencing via Persuasive Technology)

Methodology: Closing the Loop

How do we turn a coffee machine or a smartphone into a "governance instrument"? The paper identifies three technological pillars:

1. Machine Understanding of Behavior

Using Social Signal Processing (SSP) and machine learning, devices must move beyond simple activity recognition to understand social context and human intent. With pervasive sensing, our homes and cities become "information spaces" capable of longitudinal behavioral monitoring.

2. Persuasive Technologies (Captology)

Drawing on B.J. Fogg’s work, the authors outline how machines can influence us without overt coercion. Strategies include:

• Positive Reinforcement: Rewards for desired behavior.
• Limitation of Service: Restricting data speeds or phone minutes as a response to rule-breaking.
• Controlled Information Exposure: Automated "naming and shaming" by publishing incidents of wrongdoing online.

3. Ambient Law

The authors envision "Ambient Law"—legal regulations translated into programmable scripts (e.g., a unified operating system for society). These rules are updated via majority votes and empirical data, allowing for "engineering prototyping cycles" in policy-making.

Experimental Vision: The "Team City" Scenario

The paper illustrates its vision through a narrative of "Sal," a citizen in a future called "Team City." In this world:

• Privacy, Safety, and Ambient Coaches are mandatory apps on every device.
• Infrastructure is crowd-funded via micro-transactions in the cloud.
• Wealth is shared in team accounts, and energy usage is balanced across the network in real-time.

(Note: The authors argue that real-time data tracking, rather than heuristics, leads to "system innovation" and faster policy adjustment cycles.)

Critical Insight & Challenges

The paper does not shy away from the "creepy" factor. It highlights massive hurdles:

• The "Observer" Problem: Who governs the algorithms? Who "observes the observers"?
• The Erosion of Autonomy: Can citizens be "educated" to dismantle their traditional notions of privacy and security?
• Technical Scale: Scaling behavior feedback from a "smart room" to an entire nation state is a monumental task.

Conclusion: A New Ontology

Rather than viewing the IoT as just a way to make life "easier" or "faster" (as Mark Weiser originally suggested), the authors claim it enables a new ontology between humans and machines. The IoT becomes a metaphysical initiative—an "utterly impersonal" computational solution to the messy, volatile problems of human politics.

While modern readers might view this as a blueprint for a techno-dystopia, the authors present it as an urgent alternative to the potential breakdown of society under the weight of outdated, ineffective governance.