GDPR and the Professionalization of Tech
Happy GDPR day.
The GDPR is a big deal. It encodes significant personal and private data rights for EU subjects, including, among others:
- The right to be informed that organizations process your data
- The right to access that data
- The right to rectification of errors in your personal data
- The right to erasure of your data (a.k.a. the right to deletion)
- The right to restriction of processing, to disallow an organization from using your data
- The right to data portability, so that no one organization can hoard your data
Organizations that process personal data, referred to as “data controllers,” accept serious responsibilities to respect those rights, and to protect the personal data they process. These responsibilities include, among others:
- Clear communication of the lawful basis of processing1
- Acquisition of freely-given consent to collect personal data, or a legitimate legal basis to collect without direct consent
- Data protection by design and by default
- Maintenance of records of processing activities
- Maintenance of an appropriate level of security around personal data, such as authentication, encryption, and pseudonymization
- Notification in the event of a breach to both the appropriate legal authority and to the people whose data may have been breached
The regulations have teeth, too; fines for non-compliance add up to a considerable financial penalty. Failure to notify in the event of a breach, for example, may result in a fine of up to €20 million or 4% of global revenue, whichever is greater.
There’s a lot more, but the details have been extensively covered elsewhere. In contrast, I want to talk about the impact of the GDPR on the internet products and services.
In my GDPR advocacy for iovation, I’ve argued that the enshrinement of personal data rights marks a significant development for human rights in general, and therefore is not something to be resisted as an imposition on business. Yes, compliance requires a great deal of work for data controllers, and few would have taken it on voluntarily. But the advent of the GDPR, with application to over 500 million EU subjects, as well as to any and all organizations that process EU subject personal data, tends to even out the cost. If the GDPR requires all companies to comply, then no one company is disadvantaged by the expense of complying.
This argument is true as far as it goes — which isn’t far. Not every company has equal ability to ensure compliance. It might be a slog for Facebook or Google to comply, but these monsters have more than enough resources to make it happen.2 Smaller, less capitalized companies have no such luxury. Some will struggle to comply, and a few may succumb to the costs. In this light, the GDPR represents a barrier to entry, a step in the inevitable professionalization3 of tech that protects existing big companies that can easily afford it, while creating an obstacle to new companies working to get off the ground.
I worry that the GDPR marks a turning point in the necessary professionalization of software development, increasing the difficulty for a couple people working in their living room to launch something new on the internet. Complying with the GDPR is the right thing to do, but requires the ability to respond to access and deletion requests from individual people, as well as much more thorough data protection than the average web jockey with a MySQL database can throw together. For now, perhaps, they might decline to serve EU subjects; but expect legislation like the GDPR to spread, including, eventually, to the US.
Personal data rights are here to stay, and the responsibility to adhere to those rights applies to us all. While it might serve as a moat around the big data controller companies, how can leaner, more agile concerns, from a single developer to a moderately-sized startup, fulfill these obligations while becoming and remaining a going concern?
Going forward, I envision two approaches to addressing this challenge. First, over time, new tools will be developed, sold, and eventually released as open-source that reduce the overhead of bootstrapping a new data processing service. Just as Lucene and Elasticsearch have commoditized full-text search, new tools will provide encrypted data storage, anonymous authentication, and tokenization services on which new businesses can be built. I fear it may take some time, since the work currently underway may well be bound by corporate release policies, intellectual property constraints, and quality challenges.4 Developing, vetting, releasing, and proving new security solutions takes time.
Commercial tools will emerge first. Already services like Azure Information Protection secure sensitive data, while authentication services like Azure Active Directory and Amazon Cognito delegate the responsibility (if not the breach consequences) for secure user identities to big companies. Expect such expensive services to eventually be superseded by more open solutions without vendor lock-in — though not for a couple years, at least.
I’m into that, even working on such tools at work, but I suspect there’s a more significant opportunity to be had. To wit, never underestimate the ingenuity of people working under constraints. And when such constraint include the potentially high cost of managing personal data, more people will work harder to dream up interesting new products that collect no personal data at all.
Internet commerce has spent a tremendous amount of time over the last 10 years figuring out how to collect more and more data from people, primarily to commoditize that information — especially for targeted advertising. Lately, the social costs of such business models has become increasingly apparent, including nonconsensual personal data collection, massive data breaches and, most notoriously, political manipulation.
So what happens when people put their ingenuity to work to dream up new products and services that require no personal data at all? What might such services look like? What can you do with nothing more than an anonymized username and a properly hashed password? To what degree can apps be designed to keep personal data solely on a personal device, or transmitted exclusively via end-to-end encryption? Who will build the first dating app on Signal?
I can’t wait to see what creative human minds — both constrained to limit data collection and, not at all paradoxically, freed from the demand to collect ever more personal data — will come up with. The next ten years of internet inventiveness will be fascinating to watch.
Or to mount legal challenges that create the legal precedents for the interpretation of the GDPR. ↩︎
This Ian Bogost piece isn’t specifically about the professionalization of tech, but the appropriation of the title “engineer” by developers. Still, I hope that software developers will eventually adopt the Calling of the Engineer, which reads, in part, “My Time I will not refuse; my Thought I will not grudge; my Care I will not deny toward the honour, use, stability and perfection of any works to which I may be called to set my hand.” Ethical considerations will have to become a deep responsibility for software developers in the same way it has for structural and civil engineers. ↩︎
Like the old saw says: “Never implement your own crypto.” Hell, OpenSSL can’t even get it right. ↩︎