Meta lays out in this blog post their rationale behind axing third-party fact checking and sweeping changes in content moderation on Facebook, Instagram and Threads. It is important to read this (or watch Mark Zuckerberg’s video) with recent company history in mind: Facebook’s failure to properly moderate content helped fan the flames in the Rohingya (…)
For a long time, Google dominated the search market, but this may be changing with new search habits emerging. Instead of googling multiple sites, I now primarily use two AI chatbots, challenge them to avoid hallucinations, and, if needed, click on their suggested links. For me, this is a more concise and much faster way (…)
Nearly seven years after the entry into force of the General Data Protection Regulation (GDPR) in Europe, what impact has it had on data protection? What are the main legislative differences between the European Union and Switzerland? And how will the situation evolve as the rise of generative AI in our daily lives further exacerbates privacy challenges? This edition of C4DT Focus explores these ques-tions by providing an overview of the situation in Europe and Switzerland, highlighting the simi-larities and differences, particularly through two interviews with data protection specialists
From data theft to interference in democratic processes, we’ve often warned of the negative consequences of digitalization in our weekly picks. To end the year on a more positive note, I like the way this site allows you to visualize the migrations flows of different bird species. Beautiful and peaceful.
Looking for something different this holiday season, but don’t want to go overboard? Consider exploring social media feeds without relying on “The Algorithm” to dictate what you see. While this option isn’t available on every platform and isn’t equally sensible for all, the EU has made it possible for you to have this choice. We’re (…)
Say cheese! This artist has created a whimsical website that allows New Yorkers to take selfies with traffic surveillance cameras installed all over the city. Maybe it can be used to track Santa’s whereabouts?
Imagine a world where all decision-makers, business leaders, researchers and citizens are empowered to harness the benefits of science and technology for all. Join the Geneva Science Diplomacy Week to make this happen for your country, your field, your organization and yourself!
Privacy Enhancing Technologies, or PETs for short, is an umbrella term for a wide range of technologies and tools designed to protect our privacy online. You may not realize it, but you probably already use PETs on a daily basis. Some common examples [1] include HTTPS, securing connections between you and websites End-to-end encryption, ensuring (…)
This article reveals how smart devices gather more information than typically required for their functions, including personal data, location, audio recordings … and this even for devices (like air fryers) that clearly do not require those. This (again) shows a lack of transparency and poses critical questions about consumer privacy.
I like this step-by-step discovery of a potential supply chain vulnerability described in the article. It’s easy to follow and shows some of the impasses the author went through, and how they solved the problem in the end. Bonus points for OpenWRT to be really reactive and fixing their systems in a timely manner!
This article is an overview of how AI-generated content, most notably images, are used by far right parties across Europe. It incidentally also highlights how lacking current abuse safeguards and strategies truly are, as almost all of the content presented in the article would surely fall under most companies’ prohibited use.
When we think of workplace surveillance, we usually think of the U.S. with its more unforgiving workplace environment and general lack of adequate privacy protection. However, as this report shows despite having more labour rights and stronger privacy protection, European workers are not safe from intrusions into their privacy in the workplace either.
If you want to attack a network of an organization which has a good firewall, a good entry point is the wireless network. But what do you do if the organization is on the other side of the globe? Easy: you hack a nearby organization with a bad firewall, then use their wireless network to (…)
This article discusses a study suggesting algorithmic bias favoring Republican-leaning content, and its owner Elon Musk’s posts in particular, on the social media platform X. The study further claims that this bias dates back to when Musk officially started supporting Donald Trump. While it is of course impossible to prove these allegations without access to (…)
The on-going journalist investigation into a data set obtained as a free sample from a US-based data broker continues to show how problematic the global data market really is. The latest article focusing on US Army bases in Germany reveals that not only can critical personnel be tracked by identifying their movement profiles, but that (…)
This publication revisits key questions with speakers from the Oct 1st conference on “Deepfakes, Distrust and Disinformation” through the lens of public perception and seeks to advance the debate surrounding AI, misinformation, and disinformation, especially in political contexts.
The collaboration between Bryan Ford’s DEDIS lab and the C4DT Factory team has culminated in the successful development and deployment of D-Voting. It is a privacy-preserving, secure, and auditable e-voting system for EPFL’s internal elections. Building on a six-year journey that began with the initial e-voting platform in 2018, the D-Voting system incorporates DEDIS’s latest (…)
The Orchard project is developed at EPFL’s HexHive research lab under the supervision of Prof. Mathias Payer in collaboration with the Center for Digital Trust. The project aims to provide a standardized platform for the software and systems security community to submit their research paper’s software artifacts. These submissions will be automatically built and assessed, (…)
aiFlows is developed in EPFL’s Data Science Lab (dlab) under the supervision of Prof. Robert West. Originally a code-to-code translation tool leveraging feedback loops between LLMs, it evolved organically into a broader framework for defining interactions between AI agents and other agents. Such collaborations between AI agents, non-AI agents and humans will become increasingly common (…)
EPFL and UNIL invite you to a special event on the theme of Artificial Intelligence on Saturday 23 November 2024 at the Rolex Learning Center.
A unique opportunity to better understand and embrace the AI revolution, while discussing the issues surrounding its use with an exclusive panel of scientists and experts. Laboratory demonstrations and workshops for adults and young people will also be on offer. The event is free of charge and open to all, aged 10 and over.
Following on the heels of our conference on “Deepfakes, Distrust and Disinformation: The Impact of AI on Elections and Public Perception”, which was held on October 1st 2024, C4DT proposes to shift the spotlight to the strategic and operational implications of deepfakes and disinformation for organizations. For our C4DT partners we are also hosting a hands-on workshop aimed at engineers, software developers and cybersecurity experts on Tuesday, 26th of November, which will allow the participants to develop skills and expertise in identifying and combating cyberattacks through deepfakes.
Following on the heels of our conference on “Deepfakes, Distrust and Disinformation: The Impact of AI on Elections and Public Perception”, which was held on October 1st 2024, C4DT proposes to shift the spotlight to the strategic and operational implications of deepfakes and disinformation for organizations. For our C4DT partners we are hosting a high-level roundtable for executives, senior managers and project managers on Tuesday, 19th of November, during which strategies to address the challenges posed by deepfakes, and collaboration opportunities and projects to counter them will be discussed.
As this real estate agency discovered only in hindsight, ChatGPT hallucinated into existence two schools that don’t even actually exist for one of the agency’s property listings. This serves as yet another reminder for all of us who increasingly rely on tools like ChatGPT that establishing AI trustworthiness remains very much a work in progress.
The main objective of the project is to perform online monitoring of technologies and technology actors in publicly accessible information sources. The monitoring concerns the early detection of mentions of new technologies, of new actors in the technology space, and the facts related to new relations between technologies and technology actors (subsequently, all these will be called technology mentions). The project will build on earlier results obtained on the retrieval of technology-technology actors using Large Language Models (LLMs).