Big Data, AI and Criminal Law: applications in the criminal procedure in Colombia

With the kind participation of Anamaría Muñoz, PhD Candidate at SciencesPo, School of Law, and Juanita Duran, co-founder and co-director of the Criminal Policy and Justice Lab in Bogotá, Colombia.

Big Data, AI and Criminal Law: applications in the criminal procedure in Colombia

Over the past few years, the Attorney General’s Office in Colombia has been designing an artificial intelligence application to aid prosecutors in the decision-making process relating to the preventive imprisonment of defendants while they face criminal proceedings. Drawing on this experience, in this session we will discuss the opportunities and limitations, both legal and non-legal, of using big data to inform decision-making and policy implementation when fundamental freedoms are at stake.

More about the speakers

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Anamaría Muñoz is a PhD candidate at the School of Law at SciencesPo. Her research broadly focuses on the intersections between international law, human rights and transitional justice enforcement. She is the former head of the Peace Strategy Group at the Attorney General's Office in Colombia, where she acted as lead lawyer of the Big Data and criminal law project. 

Juanita Duran holds an LLB from Universidad Eafit in Colombia, a postgraduate degree in Economics at Universidad de los Andes, and an LLM from University College London. She is the former director of the Public Policy Division at the Attorney General’s Office in Colombia and has been a consultant in issues relating to access to justice, gender equality and criminal law. She is co-founder and currently co-director of the Criminal Policy and Justice Lab, and she has authored several publications regarding public policy design and criminal law.

Joining via Zoom is also possible:

For receiving the link and further information on the Law&Tech Reading Group please get in touch with Assistant Professor Beatriz Botero Arcila (beatriz.boteroarcila@sciencespo.fr) and PhD candidate Marta Arisi (marta.arisi@sciencespo.fr).