Google카지노 게임 컬렉션s AI advertising revolution: More privacy, but problems remain

Google카지노 게임 컬렉션s AI advertising revolution: More privacy, but problems remain

By David Murakami Wood, Associate Professor, Sociology, and David Eliot, Master's student, Sociology

April 1, 2021

Share

Google labeled technology
Google카지노 게임 컬렉션s new advertising claims to preserve user privacy, but it still gathers and processes the details of our online activities. (Shutterstock)

In March 2021, Google announced that it was ending support for third-party cookies, and moving to 카지노 게임 컬렉션.카지노 게임 컬렉션 Even though the move was expected within the industry and by academics, there is still confusion about the new model, and cynicism about whether it truly constitutes the kind of revolution in online privacy that Google claims.

To assess this, we need to understand this new model and what is changing. The current advertising technology (adtech) approach is one in which platform corporations give us a 카지노 게임 컬렉션free카지노 게임 컬렉션 service in exchange for our data. The data is collected via third-party cookies downloaded to our devices, that allow a browser to record our internet activity. This is used to create profiles and predict our susceptibility to specific ad campaigns.

Recent advances have allowed digital advertisers to use deep learning, a form of artificial intelligence (AI) wherein humans do not set the parameters. Although more powerful, this is still consistent with the old model, relying on collecting and storing our data to train models and make predictions. Google카지노 게임 컬렉션s plans go further still.

Patents and plans

All corporations have their , and Google is more secretive than most. However, patents can reveal some of what they카지노 게임 컬렉션re up to. After an exploration of Google patents, we found U.S. patent , 카지노 게임 컬렉션Targeted advertising using temporal analysis of user-specific data카지노 게임 컬렉션: a patent for a system that predicts the effectiveness of ads based on a user카지노 게임 컬렉션s 카지노 게임 컬렉션temporal data,카지노 게임 컬렉션 snapshots of what a user is doing at a specific point instead of indiscriminate mass data collection over a longer time period.

We can also make inferences by examining work from other organizations. Research funded by adtech company Bidtellect demonstrated that . They used deep learning to model users카지노 게임 컬렉션 interests from temporal data.

Alongside contextual advertising 카지노 게임 컬렉션 which displays ads based on the content of the website on which they appear 카지노 게임 컬렉션 this could lead to more privacy-conscious advertising. And without storing personally identifiable information, this approach would be compliant with progressive laws like the European Union카지노 게임 컬렉션s General Data Protection Regulation (GDPR).

Google has also released some information through the , a set of public proposals to restructure adtech. At its core are , a decentralized AI system deployed by the latest browsers. , federated learning differs from traditional machine learning techniques that collect and process data centrally. Instead, a deep learning model is downloaded temporarily onto a device, where it trains on our data, before returning to the server as an updated model to be combined with others.

With FLoCs, the deep learning model will be downloaded to Google Chrome browsers, and analyze local browser data. It then sorts the user into a 카지노 게임 컬렉션cohort,카지노 게임 컬렉션 a group of a few thousand users sharing a set of traits identified by the model. It makes an encrypted copy of itself, deletes the original and sends the encrypted copy back to Google, leaving behind only a cohort number. Since each cohort contains thousands of users, Google maintains that the individual becomes virtually unidentifiable.

Highly detailed local browser data is collected and then aggregated with the data from thousands of other people. (Shutterstock)

Cohorts and concerns

In this new model, advertisers don카지노 게임 컬렉션t select individual characteristics to target, but instead advertise to a given cohort, . Although FLoCs may sound less effective than collecting our individual data, they realize 카지노 게임 컬렉션95 per cent of the conversions per dollar spent when compared with cookie-based advertising.카지노 게임 컬렉션

The bidding process for ads will also take place on the browser, using another system .카지노 게임 컬렉션 Soon, Google adtech will all work this way, contained on a web browser, making constant ad predictions based on our most recent actions, without collecting or storing personally identifiable information.

We see three key concerns. First, this is only part of a much larger AI picture Google is building across the internet. Through , for example, Google continues to use data gained from individual website-based first-person cookies to train machine learning models and potentially build individual profiles.

Secondly, does it matter how an organization comes to 카지노 게임 컬렉션know카지노 게임 컬렉션 us? Or is it the fact that it knows? Google is giving us back legally acceptable individual data privacy, however it is intensifying its ability to know us and commodify our online activity. Is privacy the right to control our individual data, or for the essence of ourselves to remain unknown without consent?

The final issue concerns AI. The limitations, biases and injustice around AI are now . We need to understand how deep learning tools in FLoCs group us into cohorts, attribute qualities to cohorts and what those qualities represent. Otherwise, , FLoCs could further entrench socio-economic inequalities and divisions.The Conversation

___________________________________________________________________________

, Associate Professor in Sociology,  and , Masters student, .

This article is republished from under a Creative Commons license. Read the .

The Conversation is seeking new academic contributors. Researchers wishing to write articles should contact Melinda Knox, Associate Director, Research Profile and Initiatives, at knoxm@muwangwooden.com.

Arts and Science