The rapid speed of digitalization and the continuous technological disruption have lead to different paradoxes and contradictions. With the widespread adop
SoK: Data Minimization in Machine Learning
Data minimization (DM) describes the principle of collecting only the data strictly necessary for a given task. It is a foundational principle across major data protection regulations like GDPR...
Data Minimization for GDPR Compliance in Machine Learning Models
The EU General Data Protection Regulation (GDPR) mandates the principle of data minimization, which requires that only data necessary to fulfill a certain purpose be collected. However, it can often be difficult to determine the minimal amount of data required, especially in complex machine learning models such as neural networks. We present a first-of-a-kind method to reduce the amount of personal data needed to perform predictions with a machine learning model, by removing or generalizing some of the input features. Our method makes use of the knowledge encoded within the model to produce a generalization that has little to no impact on its accuracy. This enables the creators and users of machine learning models to acheive data minimization, in a provable manner.
The Data Minimization Principle in Machine Learning
The principle of data minimization aims to reduce the amount of data collected, processed or retained to minimize the potential for misuse, unauthorized access, or data breaches. Rooted in...
A Collectivist, Economic Perspective on AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word ``intelligence'' is being...
AI, Apple and Google — Benedict Evans
As machine learning starts working, how does that change Google, Apple and the smartphone interface? What companies get reshaped around machine learning?
Machine Learning | Google for Developers
Google Search Is Dying. What Comes Next Is Worse | The Walrus
As AI eats the web, the internet’s collective memory is disappearing
Google’s AI Is Destroying Search, the Internet, and Your Brain
Google’s AI Overview, which is easy to fool into stating nonsense as fact, is stopping people from finding and supporting small businesses and credible sources.
Bad news for Google — new survey shows 55% of people are now using AI instead of search engines
More users are turning to AI search for personalized responses
A Collectivist, Economic Vision for AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word “intelligence” is being used as a North Star for the development of this technology, with human cognition viewed as a baseline. This view neglects the fact that humans are social animals and that much of our intelligence is social and cultural in origin. Moreover, failing to properly situate aspects of intelligence at the social level contributes to the treatment of the societal consequences of technology as an afterthought. The path forward is not merely more data and compute, and not merely more attention paid to cognitive or symbolic representations, but a thorough blending of economic and social concepts with computational and inferential concepts at the level of algorithm design. , The recent focus of AI has been on the exploitation of massive data to mimic and augment human cognitive capabilities. A complementary focus is provided by the social and economic aspects of intelligence.
Is Google about to destroy the web?
Google says adding more AI to its search engine will rejuvenate the internet. Others predict an apocalypse for websites. One thing is clear: this era of online history is closing.
Google v Microsoft: the battle of AI business models
The search giant’s vertically integrated approach is beginning to pay off
Driving the UK’s next chapter: From AI potential to agentic reality | Google Cloud Blog
Organizations like HSBC, Ineffable Intelligence, Starling, Vodafone, and the UK and local governments are showcasing their transformation with Google Cloud at the London Summit.
From Principle to Practice: Vertical Data Minimization for Machine Learning
Aiming to train and deploy predictive models, organizations collect large amounts of detailed client data, risking the exposure of private information in the event of a breach. To mitigate this,...
Google is its own worst enemy
In its bid to push AI, it’s destroying its products and trying to kill the web too
Algorithmic Data Minimization for Machine Learning over...
Machine learning can analyze vast amounts of data generated by IoT devices to identify patterns, make predictions, and enable real-time decision-making. By processing sensor data, machine learning...