We Are NOT the Product; We Are Underpaid Workers

United Mine Workers

On a Labor Day weekend a few years ago, I had a crazy idea that labor law might be an alternative path to meaningful data privacy regulation. Now, with several organizations working on blockchain-based, SSI (Self-sovereign identity), what was a real stretch of the imagination is inching closer to practical application. Think about this…

There is a popular meme used to explain the exchange of our data for free online services: “When something online is free, you are not the customer; you are the product.” This idea is generally adapted to fit the regulatory argument du jour. Another popular way to explain the exchange of our data for free services is to say, “The services we enjoy are not free; we are paying for them with a new form of currency, our data.”

There is some validity to each of these ideas, but both assume that users inevitably exist to serve the commercial interests of the data elite. I reject this notion. At the moment, most users are humans, and in America, being human comes with some “unalienable” rights.

We Are a Workforce!

We are neither digital products nor possessors of a fungible currency that represents the marginal value of our data; we are underpaid digital workers whose labor (behaviors) generates raw data which is used in the manufacture of digital products. These digital products, such as interactive advertisements, generate hundreds of billions of dollars of revenue for the organizations we work for.

Our Employers

Our de facto employers include Google and its family of products: YouTube, Waze, Gmail, etc.; Facebook and its family of products: Instagram, WhatsApp, etc.; Twitter; and every other social network, search service, or digital product (website or app) we are offered free access to.

The Current Approach to Regulation

In September 2019, Google agreed to pay the Federal Trade Commission and the New York Attorney General a record $170 million to settle allegations that YouTube violated the Child Online Privacy Protection Act (COPPA) by collecting personal information from viewers of child-directed channels without first notifying parents and getting their consent.

Some may see this fine as a victory. It is anything but. If Google had obtained permission from these children’s parents, it would not have been fined. But Google would still have acquired all of the same data. Google was fined for a protocol error. Nothing in this lawsuit attempted to do anything to protect the children or the parents or any of us from how Google will use the data, how the data is classified (or misclassified), or what deals are made with it.

In charging Google $170 million for its alleged violation, regulators viewed the issue of data privacy through last century’s lens. It is as if the regulators did not have the appropriate language or understanding required to draft a law that would protect us from the abuse or misuse of data, so they could only regulate its collection.

A Different Approach to Regulation

If we want meaningful transparency regarding the use of our personal data, which I assert are the fruits of our labor, maybe we should be thinking differently about how to use the laws of the land.

We have only vague definitions for data privacy, and there are years of regulatory hurdles to defining an appropriate and fair national digital authentication schema.

But if we can make the case that we are employees of the data elite organizations that use our data, we can collectively bargain for the work conditions and wages we think we deserve. To do this, one human resources lawyer suggests that we ask the data elite organizations what they would have to pay researchers, pollsters, and other gatherers of data if we refused to provide our services to them. This would set a value on our labor.

The American Federation of Users and Data Generators

Imagine forming a union, the American Federation of Users and Data Generators. With enough members, the union could go to Google, Facebook, and the other data elite organizations that use the data generated by the members’ labor (online behaviors) to collectively bargain for total transparency with regard to 1st-, 2nd-, and 3rd-party data usage, rules around data provenance and ownership, and other rights.

This might be the very best way for ordinary Americans, who are not part of the data elite, to gain control of their data destiny.

The National Labor Relations Act

There is a legal mechanism in place to do this. In 1935, Congress enacted the National Labor Relations Act (NLRA) to protect the rights of employees and employers, to encourage collective bargaining, and to curtail certain private-sector labor and management practices that can harm the general welfare of workers, businesses, and the U.S. economy.

A Heavy Lift

Legally speaking, this is a heavy lift. But we need new language to describe what is actually happening in the transition from the Information Age to what we’re going to call the Age of Machine Intelligence.

When intelligence and consciousness are fully decoupled, and algorithms make decisions for other algorithms that make decisions for other algorithms, that make decisions about what we see, where we go, and how we get there, and then other algorithms use long-accumulated, poorly calculated proxy data to make decisions that influence other decisions made by other algorithms that we can’t even comprehend but directly impact our lives, we are going to look back and wish that sometime in 2019–2020, we put a stake in the ground and declared: “We are humans and we choose humanity.”

This article was previously published as, Free Search & Social: We Are NOT the Product; We Are Underpaid Workers on September 8, 2019.

 

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Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it.

About Shelly Palmer

Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with technology, media and marketing. Named LinkedIn’s “Top Voice in Technology,” he covers tech and business for Good Day New York, is a regular commentator on CNN and writes a popular daily business blog. He's a bestselling author, and the creator of the popular, free online course, Generative AI for Execs. Follow @shellypalmer or visit shellypalmer.com.

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