Applications of Artificial Intelligence in Governance

Description

Deep Learning has emerged as one of the most successful fields of artificial intelligence with overwhelming success in industrial speech, language and vision benchmarks. Consequently it evolved into the central field of research for IT giants like Google, facebook, Microsoft, Baidu, and Amazon. Deep Learning is founded on novel neural network techniques, the recent availability of very fast computers, and massive data sets. At the JKU Linz, we apply Deep Learning to advance autonomous driving in the AUDI Deep Learning Center and with NVIDIA, ZF and Bosch. Using Deep Learning we won the NIH Tox21 challenge and deploy it to toxicity and target prediction in collaboration with pharma companies like Janssen, UCB, Merck, AstraZeneca, and Bayer. With local companies (e.g. FILL and DCS) we apply Deep Learning to task in the field of plant and machine engineering. Together with Zalando we use Deep Learning for analyzing fashion images and fashion blogs. Also in governance, Deep Learning has enabled new AI applications: case/request and application checking (“YesBots”), answering bots, recruiting automation, safety, cybersecurity, taxation, response filtering, detecting financial irregularities and frauds, remote surveillance and inspection (natural disasters, checking pipelines) , education, infrastructure inspection (roads, bridges), healthcare, and court & justice. The application of AI technology in governance must be carefully evaluated with respect to benefits like increased efficiency, better informed citizen, less crime plus increased safety, improved healthcare system, better handling of natural disasters but also with respect to moral, ethical, social, and political issues.

Period	23 Aug 2019
Event title	Europäisches Forum Alpbach 2019
Event type	Conference
Location	AustriaShow on map