I am invited to join a panel discussion at the launch event of Technical University of Munich’s INSTITUTE FOR ETHICS IN ARTIFICIAL INTELLIGENCE. The event will take place on 7th October, 2019 in Munich.
Together with colleagues from the Liquid-Legal-Institute e.V. we published the LegalTech Digitalization Guide. It was a great pleasure to work on the document with the colleagues from BusyLamp, Telefonica, KPMG Law, ECE, and many more. Freely download the document here: LINK
I was invited to organize a workshop to discuss the potentials of LegalTech for Public Courts at the Deutscher Verwaltungsgerichtstag in Darmstadt (May 2019).
I am working on an article "Digital Contract Intelligence at Large Enterprises: Use Cases and Roadmaps To be presented at the Jurix Conference Workshop on Legal Data Analytics, December 2019, Madrid, Spain
I am contributing an article on "Explainability of Algorithmic Decision Making" for the "Research Handbook on Big Data and Law" To appear as 1st edition in 2020, Editor: Dr. Roland Vogl (Stanford University)
I am contributing an article on "Erklärbarkeit und Transparenz im Maschinellen Lernen" for the "Philosophisches Handbuch der Künstlichen Intelligenz" To appear as 2nd edition in 2019, Editor: Prof. Dr. Klaus Mainzer (TUM)
Together with Roland Vogl (Stanford University) I have published an article on "Increasing Transparency in Algorithmic-Decision-Making with Explainable AI". Appeared 2018 in the Springer Journal "Datenschutz und Datensicherheit".
Technology is - in addition to data - a driving force for semantic analysis of legal documents to support humans during decision making processes. Information retrieval, smart data, and intelligent processing can dramatically simplify process and make the more efficient.
Repetitive and well-structured decision making processes can be automated by artificial intelligence. The development and implementation of computational models to support decision-making processes, such as computational law and smart contracts, are highly attractive for companies and governments.
Policy analysis and governance of technological innovations, such as discriminating algorithms and explainable artificial intelligence, need to be proactively addressed in the future. Artificial intelligence is not a black-box, but can - to a certain degree - be understood and explained to humans.
Huge potential can be leveraged at intersection of law and information technology. A common language and interdisciplinary expertise is required for in-house departments and law firms to profit from those synergies.
bernhard.waltl [at] outlook [dot] com