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Category Archives: TECH PASOS LIBRES

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Pasos Libres participó en el primer Tech Against Trafficking Summit

TECH PASOS LIBRESBy fpasoslibres31 octubre, 2022

Pasos Libres participó en el primer Tech Against Trafficking Summit El 27 y 28 de septiembre, Pasos Libres participó en la primera Cumbre Tech Against Trafficking en Seattle, Estados Unidos. El evento organizado por Amazon y BSR reunió a más de 160 líderes del campo de la lucha contra la esclavitud moderna, incluidas empresas, sobrevivientes…

DataJam Pasos Libres 2021: Trabajo forzoso en cadenas de suministro

TECH PASOS LIBRESBy fpasoslibres11 noviembre, 2021

DATAJAM PASOS LIBRES 2021: TRABAJO FORZOSO EN CADENAS DE SUMINISTRO Han pasado cuatro años desde que Pasos Libres implementó la primera DataJam Pasos Libres en alianza con IBM y el apoyo de las Naciones Unidas, guiados por la visión de crear una competencia de innovación donde jóvenes y expertos de diversas áreas pudieran aprender, colaborar…

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FUNDACIÓN PASOS LIBRES
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Blue Sky Innovation

Propose bold, forward-thinking ideas that rethink how AI can be applied in assessing modern slavery statements and beyond. This open track encourages visionary concepts and experimental approaches that go beyond current project boundaries.

 

Application & Visualisation for Stakeholder Use

Design impactful applications, tools, or visualisations that extend and optimise the resources developed through Project AIMS. The aim is to create user-centred solutions that effectively address the needs of key stakeholders, such as policymakers, NGOs, and researchers, by making Project AIMS artefacts more accessible, actionable, and meaningful.

AI Model Optimization & Explainability

Enhance the performance, contextual understanding, and transparency of AI models used in the AIMS Project, or new models introduced by participants. This challenge may include refining model architectures, improving training datasets, and developing approaches that go beyond basic compliance with modern slavery reporting requirements to capture deeper insights. A key emphasis is on explainability, ensuring AI outputs are transparent, interpretable, and meaningful to end users.

Data Mining, Processing & Enrichment

Help improve the quality, structure, and usability of datasets used in the Project AIMS. This challenge invites participants to tackle key data-related issues, such as enhancing OCR accuracy for scanned PDFs, enabling the extraction of meaningful content from figures and tables, and developing smarter methods for document understanding, data cleaning, and enrichment. Your solutions can help unlock the full potential of complex, unstructured data for social impact.