{"id":910,"date":"2023-12-21T03:56:26","date_gmt":"2023-12-21T03:56:26","guid":{"rendered":"https:\/\/www.wsdm-conference.org\/2024\/?page_id=910"},"modified":"2023-12-21T03:56:27","modified_gmt":"2023-12-21T03:56:27","slug":"keynote","status":"publish","type":"page","link":"https:\/\/www.wsdm-conference.org\/2024\/keynote\/","title":{"rendered":"Keynote"},"content":{"rendered":"\n

What I Learned from Spending a Dozen Years in the Dark Web<\/h2>\n\n\n\n
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Nicolas Christin<\/strong>
Carnegie Mellon University<\/em><\/p><\/div><\/div>\n<\/div>\n\n\n\n



Abstract: <\/strong>

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 \u201cexit scams,\u201d 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 \u2013 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 \u2013 possibly due to a combination of constant infighting and relentless police activity \u2013 the insights we gained from studying them for so long help considerably demystify the \u201cdark web,\u201d and more generally, online crime ecosystems, which turn out to be very economically rational environments.<\/p><\/div><\/div>\n\n\n\n

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Unlocking Human Curiosity<\/strong><\/h2>\n\n\n\n
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<\/div><\/div><\/div>\n\n\n\n

Elizabeth Reid<\/strong>
Google<\/em><\/p><\/div><\/div>\n<\/div>\n\n\n\n



Abstract: <\/strong>

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.
\u00a0
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.\u00a0 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\u00a0 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.

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Unveiling\u00a0AI-Driven\u00a0Collective\u00a0Action\u00a0for a\u00a0Worker-Centric\u00a0Future<\/h2>\n\n\n\n
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<\/div><\/div><\/div>\n\n\n\n

Saiph Savage<\/strong>
Director Civic A.I. Lab<\/em><\/p><\/div><\/div>\n<\/div>\n\n\n\n


Abstract: <\/strong>

In today’s dynamic gig economy, workers on platforms like Upwork, Amazon Mechanical Turk, and Toloka face daunting labor challenges. Despite the potential of\u00a0collective\u00a0action\u00a0to significantly improve these conditions, its implementation is hindered by inadequate systems for identifying and resolving issues.\u00a0

During my keynote, I will unveil my Innovative A.I. For\u00a0Worker\u00a0Collective\u00a0Action\u00a0framework, deeply embedded in social theories. This talk will highlight how we can harness Large Language Models (LLMs), coupled with social theories and\u00a0worker-owned data, to develop technologies that are truly\u00a0worker-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\u00a0future\u00a0of 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\u00a0worker\u00a0wellbeing at the forefront

<\/p><\/div><\/div>\n\n\n\n

<\/path><\/svg><\/span><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"

What I Learned from Spending a Dozen Years in the Dark Web Unlocking Human Curiosity Unveiling\u00a0AI-Driven\u00a0Collective\u00a0Action\u00a0for a\u00a0Worker-Centric\u00a0Future<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-910","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/pages\/910","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/comments?post=910"}],"version-history":[{"count":21,"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/pages\/910\/revisions"}],"predecessor-version":[{"id":931,"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/pages\/910\/revisions\/931"}],"wp:attachment":[{"href":"https:\/\/www.wsdm-conference.org\/2024\/wp-json\/wp\/v2\/media?parent=910"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}