It would be interesting to see the arms race that could arise, though. If individualized prices became enough of a thing, there would probably be personal shoppers who would buy things for you at a lower price with their "poor person" data profile and pocket a percentage of the difference. Or more likely, there will probably be a way to run a browser with the right cookies to give you the lowest price.
Uber is making you pay more when your phone is low on battery (because they know you don't have too much time to think about how you're getting back home).
Airline companies are showing you higher prices if they believe you can afford it, from the information they're getting about you (like your user agent).
Do you have a source? 9news[0] claims otherwise.
> Airline companies are showing you higher prices
I do not find evidence of this, either[1].
[0]: https://www.9news.com/article/news/verify/verify-does-uber-c...
Is there a way to game this? i.e., given a specific user agent, can I convince airlines I'm poor and get a deal on tickets?
Off-topic: this same idea has been cropping up a lot on HN recently with respect to salaries when moving to lower CoL areas. The argument on one side is that their work hasn't become less useful, and on the other side we hear that with a lower CoL you need the money less, and we have a bit of a holy war going on trying to describe why one side or the other has some moral claim to the entirety of that surplus.
I understand this article. I still want to see a penny every time my data is used/accessed/sold/etc, if anything to drive up the cost of contracts around or servicing of my data. If my data is made functionally anonymous then make it a dime payment and then a penny every time that block of data is used sold. Send it as a check to my mailing address with a letter including the legal entities involved, initial source of the data, what type or category of data they have relating to me (like PII category ex address, name, purchase history, etc), their intended use for the data (research vs marketing), and how I can contact to have my data removed from the set. Also if my data is made anonymous, provide a 1 penny check and above information for any use or sale of the data set.
Yes this regulation would kill the industry in overhead costs aimed at making the information somewhat close to the 'informed consent' required for medical approvals and breaking down how the industry works. Maybe make it so on initial sale and usage you get a check then at the start of each following year that entity pays out for annual usage.
Our data is valuable collectively to identify trends, markets, and opportunity and I'd like to know how I'm manipulated into being a part of that as well as what entities I cannot trust with any personal data. And I think this should apply to Experian/etc too. Chase wants to find out my credit score to market CC reward offers to me? Make it known and pay me the same way farms are paid for the useful manure their animals produce.
Now let's do a little thought-experiment with the Uber ride and look at the information you and Uber have to make your price and choice on:
For Uber:
- What time is it? +
- Are you far away from home? +
- Have you been here before? -
- What have you paid before? +
- Where do you shop usually? +
- Are you rich? ++
- Are you ill? +
- Are you pregnant? +
- Are you drunk? ++
- Are you very drunk? +++ (bonus!)
- Are you sad? +
- Did you just break up? ++
- Do you have any friends? +/-
- Do you have any friends with cars? -
- Are you alone? +
- Are you going home? +
- Are you already home? -
- probably a lot more...
For you:
- Price?
- How screwed am I if I don't take the ride?
There are not many other options. Maybe a taxi's while they last and Lyft probably has the same algorithm.
Upside? Plausible deniability! An NN AI that happens to score based on age, gender, gender preference, religion, disability status, and ethnicity, but buried among other factors and not explicitly exposed? Perfectly fine! (At least until you can hire stats PhDs to prove statistically significant bias.)
Bad news? The engineers have no idea why (or when) the model gives bad results. It's answers without insight.
The seller is a company. Its only purpose is to satisfy its customers' needs.
Instead of you being sold to the richest, hungriest gas station, it's more like all of the gas stations racing to the lowest price to serve you, and consumers having no brand relationships with gas stations anymore.
If Android auto was always serving up expensive gas, users would start using bing or apple maps - I certainly would if there was such a tangible cost difference
“Waze is better than google maps for directions” for a long time was true. Then google bought it.
If Waze can rise up, so can another. Especially where it’ll save drivers some % on their fuel bills. Even more so in European countries with high fuel duties.
And that will happen to every competitor on that market.
Years ago, the grocery stores here did the same thing. It's taken 15 years for them to finally begin to actually compete with each other...well just prior to covid anyway...
See...there's always someone that can come up with an even more awful scenario.
I'd never even thought of such a thing...but that really doesn't sound too far fetched.
I guess it would create a new little economy, but i dunno, these things always remind me of something from black mirror.
And most of the depictions of the future in that show kinda horrified me.
You can opt-out/not opt-in all you want, but as long as enough people opt-in (or don't opt-out), they can just apply an existing model against you, get good-enough results and you're almost as screwed.
If anything, prices would rise for richer people, and decline for poorer people.
Is that bad?
The pricing difference that actually matters (moving old stock) is already mostly done without personalised data. Sales are a standard.
If someone has your spending history, sees you buy something frequently, they have no incentive to put it on sale. Likewise, if they see something you've maybe looked at but not bought, they can put it in sale and tempt you.
This is just one example. I'm sure marketers can come up with all sorts.
Already i've read things about hotel websites and stuff altering prices based on which device you're using to browse their site.
In a world where your personal shopping information is bought and sold and things become increasingly online, it'll become a game of individualized shopping lists and prices, individual sales. Another perfectly crafted corporate bubble for people to live under where prices, suggestions and sales are individually tailored and at the whims of people siphoning all your personal information.
I don't need my own personal omnipotent digital god dictating everything in my life. Even if it saves me a few bucks.