Inteligencia artificial para humanizar la justicia
Por: ÁNGELA CRISTINA VILLATE & FÉLIX PALMA Hemos entrado así, casi sin notarlo, en la era del humano que vigila a la máquina y la
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Data for real people, data for real business, data for the real world…
I’m a consultant in artificial intelligence, data analytics, information visualization, strategic communication, and social complexity.
Always in between the bridge of humanities and technology, I work to achieve the convergence of algorithms and literature, numbers and letters, the machines and the world of life.
In this task I’m not alone, I’m accompanied by some colleagues, a handful of friends, and the ideas of Morin, Serres, Luhmann, Eco….
Curiosity, the source of all knowledge, has led me to explore philosophy, linguistics, law, artificial intelligence, and data analytics. I ‘am like a fish in water between quantitative and qualitative.
Academic background
- Ph.D. in complex thinking (degree with honors)
- Master in Aartificial Intelligence
- Specialist in Strategic Data Analytics
- Master in Linguistics
- Master’s degree in Social Sciences and Humanities with mention in philosophy
- Specialist in administrative law
- Specialist in Virtual Learning Environments
- Diploma in publishing studies
- Philosopher and lawyer
TechSkills
- Python for NLP Model Development
- RStudio for descriptive, inferential and visualization statistics
- Tableau and PowerBI for dynamic information visualization
- NLP (Data Science Research Peru certification)
- Machine Learning – Machine Learning
- Communication with data – Data Story Telling
- Data Ethics and Artificial Intelligence
- Understanding social context and use of AI
- Problem solving using AI and data analytics
- Ideation, planning and deployment of tech projects using Scrum
- Models integrating qualitative and quantitative data
- Image analysis for the study of facsimiles and historical archival documents
- Image analysis for intellectual property analysis
- Bioinspiration, artificial intelligence and human thinking systems
MIEDO Y ODIO A LA ANALÍTICA DE DATOS
La experiencia me ha enseñado que para lograr un “análisis con valor” es necesario integrar fuentes y métodos de distinta naturaleza y atreverse a generar validaciones externas; es decir, someter la información al escrutinio de disciplinas y herramientas distintas a las de su fuente de origen.