Data Centers: Harvesting Human Energy? |Harvesting Energy

To appreciate to what level humans are integral to Data centers we must first ask some questions:

How Do A.I. Data Centers Tie to 7G?

Image by Cliff Hang from Pixabay Data centers are integral to 7G connectivity due to their ability to handle the massive amounts of data generated by the billions of devices connected to 7G networks in future Smart Cities.

The following points highlight the propaganda of 7G as “Next Generation” since “everyone in this world needs very high-speed internet.”

Higher Bandwidth: to support the terabit-level data rates of 7G, enabling multiple simultaneous ultra-high-speed connections.
Redundancy and Reliability: to use redundant links and diverse routing to ensure continuous operation and minimize latency.
Security: to encrypt data transmitted to protect against interception and cyber threats.
Cloud Connectivity: to connect to public cloud providers to form hybrid cloud environments, allowing for flexible resource management and scalability.
These factors ensure that data centers are well-equipped to support the demands of 7G networks, contributing to the seamless and efficient operation of the future internet.

Next question:

Where do “billions of devices” come from?

Human beings! Sound far-fetched? Humans contain biosensors that transmit data and must be recharged.

According to the authors of a 2016 study in the Intl. J. of Multidisciplinary Sciences and Engineering the most efficient energy harvesting techniques to recharge sensor nodes include: solar, wind, thermoelectric generators, as well as blood pressure, body movement, body heat, and blood circulation.

The Cyber-Physical Backbone of AI

Image by TyliJura

The real power resides with humanity—which is being trained as a 7G power source to replace 5G towers, and to fulfill promises of human anatomy as a commercial source for routing data in Smart Cities of 2030.

This stems from the cyber-physical backbone that powers the Fourth Industrial Revolution.

The changes are so profound that, from the perspective of human history, there has never been a time of greater promise or potential peril. ― Klaus Schwab, The Fourth Industrial Revolution

Currently, human data is already captured by apps, fitbits, wearables, ear buds, using galvanic intrabody communication (IBC).

To Make America Healthy Again, Health and Human Services Secretary, RFK Jr. wants all Americans to wear “wearables” within 5 years.

Meanwhile, improvements for mechanical energy harvesting are underway.

Next question:

Are wearables for empowerment or surveillance?

Note: HIPAA does not protect all privacy because the federal government lacks comprehensive privacy and data protection laws.

We know that when a Smart phone displays ads based on your last conversation, there is no information privacy or control over personal data.

The Risks

General risks associated with wearable devices, which have not gone through clinical trials, include: 1) accuracy and reliability issues, 2) integration and interoperability challenges, and 3) psychological implications (anxiety).

Health risks of wearables include: chemical exposure, inaccurate health data, cybersecurity threats, skin irritation, and non-ionizing radiation exposure.

It is worth reviewing the dangers of wearable teach.

On the other hand, Data Centers do not wish to disclose their purpose, as their applications contain pages of redacted information. But with investments of $1 billion to expand AI infrastructure, human monitoring is high on the list.

China leads the way in AI surveillance of its citizens. And what happens in China does not stay in China.

Water pollution, noise pollution (mysterious hum), and EMF pollution come with Data Centers. In the US, there were 1240 Data Centers (177 belong to Amazon) by the end of 2024. Each Data Center can span millions of square feet across hundreds or even thousands of acres (think dozens of football fields or city blocks), and need hundreds of megawatts, or even a gigawatt, of power, so they need lots of land and water.

Spyware and surveillance. People’s right to privacy is under greater pressure without appropriate safeguards.

AI algorithms can identify individuals, track movements, and detect patterns of behavior, enabling authorities or organizations to monitor populations at scale.

There is no such thing as AI Privacy when it comes to collection of sensitive data, collection of data without consent,
use of data without permission, unchecked surveillance and bias, data exfiltration, and data leakage.

Body As A Wire

Image by Shelley Evans from Pixabay Arrangements have already been made to turn the human body into a wire. A done deal!

The government claims that the human body as a power source is much more secure than say, radio waves. However, as we know electronics can be hacked:

In June 2020, for example, the U.S. Department of Homeland Security recalled a model of connected insulin pumps. The pumps were transmitting sensitive information without encryption – Cybersecurity and Infrastructure Security Agency

To help us all understand this better, we need to investigate a few new acronyms:

WBAN – [Not women’s boxing]. Wireless Body Area Network. Active since 1995.

Wireless Body Area Networks (WBANs) are networks of sensors embedded in or around the human body, connected wirelessly. They have been utilized for various applications, including healthcare, athletic training, and military applications.

MBAN – Medical Body Area Network

CoVBAN – Intelligent and Energy Efficient WBAN “to control Coronavirus outbreak”

AI Data-Ready

“AI-ready data” refers to governed and secure information that organizations can use for deploying artificial intelligence (AI) systems. The concept emphasizes that AI outcomes are only as good as the data fed into models (human-based data).

Data privacy policies, regulatory frameworks, and security measures will need to comply with regulations such as the EU AI Act. See a comparison of the EU AI Act with proposed AI legislation in the U.S.