What I Learned from Spending a Dozen Years in the Dark Web
Nicolas Christin
Carnegie Mellon University
Abstract:
Founded in 2011, Silk Road was the first online anonymous marketplace, in which buyers and sellers could transact with anonymity guarantees far superior to those available in online or offline alternatives, thanks to the innovative use of cryptocurrencies and network anonymization. Business on Silk Road, primarily involving narcotics trafficking, was brisk and before long competitors appeared. After Silk Road was taken down by law enforcement, a dynamic ecosystem of online anonymous marketplaces emerged. That ecosystem is highly active, to this day, and has been surprisingly resilient to multiple law enforcement take down operations as well as “exit scams,” in which the operators of a marketplace abruptly abscond with any money left on the platform.
In this talk, I describe insights we have gained from more than twelve years of active measurements of the online anonymous market ecosystem [1,2,3,4,5,6]. I first highlight the scientific challenges in collecting such data at scale, discuss how overall revenues rapidly grew to hundreds of millions of dollars per year, and describe the leading types of commerce taking place – primarily narcotics, but also cybercrime commoditization.
Second, I present several analyses of vendors, ranging from our efforts to match a priori disparate handles to unique individuals, to predicting whether a vendor will be successful in the future. Finally, I introduce some of the unique data we could access, namely backend data from police seizures, and show how we used it to validate our measurements.
While online anonymous marketplaces have recently seen their influence dip a bit – possibly due to a combination of constant infighting and relentless police activity – the insights we gained from studying them for so long help considerably demystify the “dark web,” and more generally, online crime ecosystems, which turn out to be very economically rational environments.
Unlocking Human Curiosity
Elizabeth Reid
Google
Abstract:
Human Curiosity has always been boundless. Yet for millennia, access to information limited our ability to explore that curiosity. The advent of the web transformed the information landscape, but too often information remained out of reach or required too much effort. Limitations in query understanding, the corpus of content, and information fragmentation continued to create substantial hurdles.
Today, we are early in another profound transformation. Rapid innovations in AI are painting a future where these barriers are crumbling. Yet with this shift, we must also solve a set of critical challenges around trust.
In this talk, I will discuss how AI advancements are reshaping how we access and understand information and associated technical, product and policy challenges. I will explore how advancements in natural language processing, multi-modal and cross-language content understanding, and generative AI are breaking down the barriers users face in expressing their questions and easily comprehending results. I will also share how progress on challenges in content safety, authenticity, AI-generated content, bias, and information literacy will be needed to maintain the user trust needed to truly capitalize on the moment.
Unveiling AI-Driven Collective Action for a Worker-Centric Future
Saiph Savage
Director Civic A.I. Lab
Abstract:
In today’s dynamic gig economy, workers on platforms like Upwork, Amazon Mechanical Turk, and Toloka face daunting labor challenges. Despite the potential of collective action to significantly improve these conditions, its implementation is hindered by inadequate systems for identifying and resolving issues.
During my keynote, I will unveil my Innovative A.I. For Worker Collective Action framework, deeply embedded in social theories. This talk will highlight how we can harness Large Language Models (LLMs), coupled with social theories and worker-owned data, to develop technologies that are truly worker-centric. These technologies not only empower workers to shape their own futures but also enhance their working conditions and address existing harms. I will showcase case studies that exemplify the practical application of this framework, illustrating its potential to revolutionize the future of work. The session will culminate in a forward-looking discussion on a research agenda aimed at exploring the societal impacts of A.I. and crafting effective socio-technical solutions that consistently put worker wellbeing at the forefront