Kafka in the Age of AI and the Futility of Privacy as Control
The publication discusses how Franz Kafka’s works highlight the powerlessness and vulnerability of individuals, paralleling modern privacy issues.
machine learning
Artificial Intelligence and Privacy
This article discusses the intersection between artificial intelligence (AI) and privacy, highlighting the challenges AI poses to privacy and suggesting ways for the law to evolve in response to these issues.
Data Protection by Process
This whitepaper shows that in fact machine learning (ML) and data protection requirements, including principles like data minimization, are compatible.
Clearview AI Has New Tools to Identify You in Photos
In an interview with WIRED, CEO Hoan Ton-That said the company has scraped 10 billion photos from the web—and developed new ways to aid police surveillance.
The Spectrum of AI: Companion to the FPF AI Infographic
This paper outlines the spectrum of AI technology, from rules-based and symbolic AI to advanced, developing forms of neural networks.
FTC is forcing tech firms to kill their algorithms along with ill-gotten data
The Federal Trade Commission is punching right at the heart – and guts – of how data collection drives revenue for tech firms: their algorithms.
Big data, artificial intelligence, machine learning and data protection
This discussion paper looks at the implications of big data, artificial intelligence (AI) and machine learning for data protection, and explains the ICO’s views on these
Data minimisation and privacy-preserving techniques in AI systems
In this blog, ICO explores some of the most relevant techniques for supervised Machine Learning (ML) systems, which are currently the most common type of AI in use.
Artificial intelligence: From ethics to policy
European Parliament’s Think Tank has published AI ethics. This study arrives at policy options for public administrations and governmental organisations […]
Guidance on Embedding Data Protection Principles in Machine Learning
The paper provides clear instructions on how to fulfill the DPbD obligation and how to build a DPbD strategy in line with data protection principles.
New White Paper Provides Guidance on Embedding Data Protection Principles in Machine Learning
Immuta and the Future of Privacy Forum (FPF) released a working white paper, Data Protection by Process: How to Operationalise […]
Warning Signs: The Future of Privacy and Security in the Age of Machine Learning
This short whitepaper aims to create the beginnings of a framework for best practices standards by focusing on specific privacy […]