previously: advertising personalization: good for you?

Some sources have suggested that privacy laws and regulations should be adapted to accommodate privacy-enhancing advertising technologies. Unfortunately, these technologies tend to solve specific problems for large companies while either not addressing the reasons we have privacy laws in the first place, or making the situation worse. It is important not to get real privacy, which policymakers should try to protect, mixed up with the mathematical properties of PETs. Some of the issues include:

discrimination Large ad platforms have a lot of different kinds of advertisers, from actual malware up to legit brands, and every level of honesty and quality in between. One persistent category of problem advertisers has been those who choose to target ads in a way that violates fair housing or equal opportunity employment laws. Big Tech companies have gotten a lot of grief over the years for enabling advertisers to target ads based on membership in a legally protected group. PETs address Big Tech’s problem by processing information in a way that hides discrimination, but they would make the problem worse for everyone else by making it harder for NGOs, academics, and regulators to detect and report on.

Right to Know and disclosing inferences: In California and some other jurisdictions, the right to know includes internally generated “inferences”. For some kinds of inferences, the person being inferred about has a strong interest in learning what the inference is. A good current example is when a platform identifies you as a potential future problem gambler. PETs currently do not have a good inference RtK story, which means (1) individuals don’t get enough info to make a sensible choice about advertising personalization settings and (2) research projects that compare RtK data from many volunteers would have less ability to detect problems.

fraud: A lot of decision-makers on advertising’s buy side treat adfraud as a victimless crime, because the victims are legit publisher sites. Adfraud steals attribution from legit sites and pushes ad rates down in general, so there’s no real buy-side motivation to address it. But adfraud does create problems for users, by giving fraud operators an incentive to surveil people and front-run a sale that’s about to happen. Paradoxically, the presence of PETs increases incentives for collecting surveillance data, so would likely put users at greater risk. More: why I’m turning off Firefox ad tracking: the PPA paradox

scale: The mathematical properties of PETs tend to rely on adding noise in order to create deniability or limit cross-site identification of an individual. PETs could be designed to add just the right amount of noise to tracking data, to make them effectively usable for tracking by a few large companies, or one. The Debian project has the concept of a DesertIslandTest: can one software developer on a desert island license their work to the other inhabitants without relying on an some off-island party? Third-party cookies, despite their other problems, pass the web advertising version of the test, PETs don’t. One small business advertiser and one small publisher site could use third-party cookies to track ads and visitors, if they wanted to, and third-party cookies work at every scale. Adopting PETs would tend to hard-code some problematically large company sizes.

Conclusion

Legislators and regulators need to apply the same considerations to PETs as to any other surveillance/personalized advertising practice. It’s important not to confuse the mathematical magic of PETs with the real privacy concerns of real people. For a start, I personally believe that it would be appropriate to apply a state-level surveillance licensing system to PETs. More: Sunday Internet optimism