Artificial Intelligence Bedrohung oder Lösung. Welche Möglichkeiten bietet sie und welche Grenzen hat diese Technolgieform

Transcription

1 Artificial Intelligence Bedrohung oder Lösung Welche Möglichkeiten bietet sie und welche Grenzen hat diese Technolgieform

2 In this new world, it is not the big fish which eats the small fish, it's the fast fish that eats the slow fish." Klaus Schwar, Executive and Chairman of the World Economic Forum

3 Technologie ist ein Kinderspiel... 97% Source, Exposure and Use of Mobile Media Devices by Young Children, Oct 2015, Published By American Academy of Pediatrics aller Kleinkinder unter vier Jahren benutzen in den USA mobile Endgeräte 3 Copyright 2018 Dell Inc.

4 Die nächste industrielle Revolution läuft an 8Mrd verbundene Geräte heute 25x Menschen auf dem Planeten 200Mrd bis 2031 The Internet of Everything 4 Copyright 2018 Dell Inc.

5 Artificial Intelligence (AI) is on our minds Gartner Report Smart machine technologies will be the most disruptive class of innovations over the next 10 years due to their computational power, scalability in analyzing large-scale data sets, and rapid advances in neural networks.

6 What is Artifical Intelligence anyway? Artificial intelligence Sense & perceive the environment, use reasoning to optimise itself: robotics, machine learning, natural lanaguage processing, chatbots, gameplay Machine learning Capacity learn without an explicit code. Regression models, neural networks, boosted trees, k-nearest neighbours Deep learning More complex neural networks 6

7 Es lohnt sich, alle Chancen zu nutzen! Wir haben nur die Wahl, durch Vernunft zu lernen oder durch Katastrophen belehrt zu werden. (Die Sterne leuchten... - Die universale Krise, 1948, S. 35) daraus ergibt sich eine der verblüffendsten Kernthese dieses Buches: Es gibt Verstand auch ohne Gehirn. (Im Anfang war der Wasserstoff) 7

8 AI + ML no brand new concepts ~1600 Gottfried Leibnitz Calculus ratiocinator 1985/ 1986 Expert machines Deep learning introduced Deep Learning Broad industry usage Even earlier concepts AI Winter AI Winter II 1956 Artificial Intelligence Academic discipline 1997 Deep Blue AI comeback due to more CPU power 8

9 Use Cases for Artificial Intelligence Manufacturing Predictive maintenance Demand forecasting Telematics Process optimization Travel and Hospitality Aircraft scheduling Dynamic pricing Social media analysis Traffic congestion Retail Upsell marketing Market segmentation Predictive inventory Recommendations Healthcare & Life Sciences Alerts and diagnostics Disease identification Proactive health management AI Financial Services Risk analytics Credit worthiness Cross-selling Customer segmentation Energy & Utilities Seismic data processing Smart grid management Energy demand 9

10 More then one aspect Do the possible Do what s right Technologie Ethik Rechenleistung steigt (Moores Law) Miniaturisierung schreitet voran Energie ist derzeit der limitierende Faktor You cannot change the laws of physics* Selbstbeschrängkung im Umgang mit Daten Integration von autonomen Systemen in die Gesellschaft Ethische Grundregeln (10 Gebote der Robotik) 10

11 In the twenty-first century, knowing all the answers won t distinguish someone s intelligence rather, the ability to ask all the right questions will be the mark of true genius. "Thank You for Being Late: An Optimist's Guide to Thriving in the Age of Accelerations" by Thomas L. Friedman

12 Don t be afraid embrace the opp Mankind was always worried about developments, but it offered opportunities! 1. The speed of a train is dangerous for the human brain (~1850) 2. A calculator can solve most mathematical expressions quicker than any human being (i.e. 4281:72) 3. Computers play better chess, play better Go!, translate language better Marvin Minsky (1960) "within a generation... the problem of creating 'artificial intelligence' will substantially be solved". So why not: 1. Get better clinical diagnostics 2. Have cars driving safely 3. Help mankind understand each other by machine translation 12

13 Thank you!