Christian Djeffal is Assistant Professor for Law, Science and Technology at the Technical University of Munich. At the Munich Center for Technology in Society and at the TUM School of Governance, he researches and lectures on the relationship between law and technology, focusing on new technologies such as artificial intelligence (AI) and the internet of things (IoT).
From 2016 to 2019, Christian was head of the Research Unit 'Global Constitutionalism and the Internet' at the Alexander von Humboldt Institute for Internet and Society. In 2016, he received his doctorate from the Humboldt University for his thesis on 'Static and Evolutive Treaty Interpretation: A Functional Reconstruction', which was published by Cambridge University Press.
Christian studied law at the Ludwig-Maximilians-University Munich and at University College London. In 2010, he was a visiting scholar at the Amsterdam Center for International Law at the University of Amsterdam, and in 2012 at the Lauterpacht Centre for International Law at the University of Cambridge as well as at the Max Planck Institute for Foreign Public Law and International Law in Heidelberg. He is a permanent visiting scholar at the Institute for Technology, Society, and Law at the University of Zurich.
Djeffal, C. (forthcoming). 'The normative potential of the European rule on automated decisions: A new reading for art'. 22 GDPR. Zeitschrift Für Ausländisches Öffentliches Recht Und Völkerrecht, 81.
Djeffal, C. (2019). 'Sustainable development of artificial intelligence (SAID)'. Global Solutions Journal 4: 186-192. Available here.
Djeffal, C. (2020). 'Artificial intelligence and public governance: Normative guidelines for artificial intelligence in government and public administration. In T. Wischmeyer & T. Rademacher (eds.), Regulating Artificial Intelligence, Springer, pp. 277–293. Available here.
Djeffal, C. (2019). 'AI, democracy, and the law'. In A. Sudmann (ed.), Digitale Gesellschaft Vol. 25: The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms, pp. 255–284. Available here.