Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut

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Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Institut für Informatik (IIT-HSG)

                       Mythen über Künstliche Intelligenz -
                       Warum wir KI nicht fürchten müssen

                                                                                         Prof. Dr. Damian Borth
                                                                Artificial Intelligence & Machine Learning Lab
                                                                                    University of St. Gallen (HSG)

Damian Borth – Artificial Intelligence & Machine Learning Lab                                                1
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Artificial Intelligence Momentum

Times, 17.Sep 2018: Summary of WEF Report

Damian Borth – Artificial Intelligence & Machine Learning Lab                           2
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Artificial Intelligence Momentum
CIO magazine June 2018

 Times, 17.Sep 2018: Summary of WEF Report

 Damian Borth – Artificial Intelligence & Machine Learning Lab                           3
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Artificial Intelligence Momentum
CIO magazine June 2018

                                                                      Deutsche Welle
                                                                        16.May 2018

 Times, 17.Sep 2018: Summary of WEF Report

 Damian Borth – Artificial Intelligence & Machine Learning Lab                           4
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Die Informatik und der Algorithmus

Damian Borth – Artificial Intelligence & Machine Learning Lab   5
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
6
                                                                               Verschiedene Blickwinkel

                                                           SPON, 5.Juni 2018

    Damian Borth – Artificial Intelligence & Machine Learning Lab                                6
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Verschiedene Blickwinkel

Damian Borth – Artificial Intelligence & Machine Learning Lab                     7
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Verschiedene Blickwinkel

                                Bedarf an KI Experten in Deutschland: 5,000
                                Quelle: Handelsblatt, März 2017

Damian Borth – Artificial Intelligence & Machine Learning Lab                       8
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
Verschiedene Blickwinkel

                                Bedarf an KI Experten in Deutschland: 5,000
                                Quelle: Handelsblatt, März 2017
                                Weltweites Angebot an KI Experten: 22,000
                                Quelle: Bloomberg & Element AI, Jan. 2018

Damian Borth – Artificial Intelligence & Machine Learning Lab                                 9
Mythen über Künstliche Intelligenz - Warum wir KI nicht fürchten müssen - Roman Herzog Institut
10
                                                                                                                                                        Algorithmen
                            May 2018

                            https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2018/mai/deutschland-noch-nicht-in-der-algorithmischen-welt-angekommen/

     Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                                                     10
11
                                                                                                                                                        Algorithmen

                            https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2018/mai/deutschland-noch-nicht-in-der-algorithmischen-welt-angekommen/

     Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                                                     11
12
                                                                                                                                                        Algorithmen

                            https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2018/mai/deutschland-noch-nicht-in-der-algorithmischen-welt-angekommen/

     Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                                                     12
13
                                                                                                                                                        Algorithmen

                            https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2018/mai/deutschland-noch-nicht-in-der-algorithmischen-welt-angekommen/

     Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                                                     13
Algorithmen

                                                                                       Hampton C. Gabler,
                                                                            Air Bag Deployment Algorithm
                                                                  Ann Adv Automot Med. 2008; 52: 175–184.
Excel Algorithmus zur Sortierung

  Damian Borth – Artificial Intelligence & Machine Learning Lab                                                14
Künstliche Intelligenz (KI) – Was ist das?

Damian Borth – Artificial Intelligence & Machine Learning Lab   15
Starke und Schwache Künstliche Intelligenz
 Russel, S., Norvig, P.: Artificial Intelligence –
 A Modern Approach, Prentice Hall, 2009

Damian Borth – Artificial Intelligence & Machine Learning Lab                16
Starke und Schwache Künstliche Intelligenz
 Russel, S., Norvig, P.: Artificial Intelligence –
 A Modern Approach, Prentice Hall, 2009

 Starke Künstliche Intelligenz
 • KI im philosophischen Sinne
 • Maschinen, die sich ihrer selbst bewusst werden
 Schwache Künstliche Intelligenz
 • KI im Ingenieur-technischen Sinne
 • Maschinen, die von außen intelligent erscheinen

Damian Borth – Artificial Intelligence & Machine Learning Lab                17
Terminologie

                                                                Künstliche Intelligenz

Damian Borth – Artificial Intelligence & Machine Learning Lab                                18
Terminologie

                                                                Künstliche Intelligenz

                                                Wissens
                         Plannung
                                             Repräsentation
                                                                  Schließen        Maschinelles Lernen

Damian Borth – Artificial Intelligence & Machine Learning Lab                                            19
Terminologie

                                                                Künstliche Intelligenz

                                                Wissens
                         Plannung
                                             Repräsentation
                                                                  Schließen             Maschinelles Lernen

                                                                              Probab.      Kernel
                                                                              Ansätze     Ansätze   Deep Learning

Damian Borth – Artificial Intelligence & Machine Learning Lab                                                 20
Deep Learning – Neuronale Netze

Damian Borth – Artificial Intelligence & Machine Learning Lab                         21
Was sind die drei Zutaten für Neuronalen Netzen

                                                       +        +

Damian Borth – Artificial Intelligence & Machine Learning Lab       22
Was sind die drei Zutaten für Neuronalen Netzen

                 Architektur                             +                                         +
          Neural Networks (NN)                                     Recurrent Neural Networks (RNN) &        Deep Autoencoder
                                                                    Long-Short Term Memory (LSTM)

Convolutional Neural Networks (CNN)                               Generative Adversarial Networks (GAN)   Reinforcement Learning

  Damian Borth – Artificial Intelligence & Machine Learning Lab                                                  23
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +            Parameter             +

                                                      AlexNet 2012: Image Understanding

Damian Borth – Artificial Intelligence & Machine Learning Lab                                 24
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +            Parameter             +

                                                      AlexNet 2012: Image Understanding

Damian Borth – Artificial Intelligence & Machine Learning Lab                                 25
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +        Parameter      +                   Modell Training

                                                                                ?

                                                                                               “dog”

                                                                            error / correct?

Damian Borth – Artificial Intelligence & Machine Learning Lab                                            26
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +        Parameter    +          Modell Training

                                                                            “cat”

                                                                                    “dog”

                                                                            error

Damian Borth – Artificial Intelligence & Machine Learning Lab                                 27
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +        Parameter     +           Modell Training

                                                                             “dog”

                                                                                      “dog”

                                                                            correct

Damian Borth – Artificial Intelligence & Machine Learning Lab                                   28
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +        Parameter     +           Modell Training

                                                                             “dog”

                                                                                      “dog”

                                                                            correct

Damian Borth – Artificial Intelligence & Machine Learning Lab                                   29
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +        Parameter     +           Modell Training

                                                                             “dog”

                                                                                      “dog”

                                                                            correct

Damian Borth – Artificial Intelligence & Machine Learning Lab                                   30
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +           Parameter     +           Modell Training

                                                                                “cow”
                                                                                “dog”

                                                                                         “dog”

                                                                               correct

                                                                Model

Damian Borth – Artificial Intelligence & Machine Learning Lab                                      31
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +            Parameter     +            Modell Training

                                                                                 “dog”

                                                                                           “dog”

                                                                                correct

                                                                Model

                                                                                     “?”

                                                                Model

Damian Borth – Artificial Intelligence & Machine Learning Lab                                        32
Was sind die drei Zutaten für Neuronalen Netzen

               Architektur                             +            Parameter     +            Modell Training

                                                                                 “cow”
                                                                                 “dog”

                                                                                           “dog”

                                                                                correct

                                                                Model

                                                                                   “dog”

                                                                Model A

Damian Borth – Artificial Intelligence & Machine Learning Lab                                        33
Anwendungen der KI und
                                Auswirkung auf die Gesellschaft

Damian Borth – Artificial Intelligence & Machine Learning Lab   34
Sichtbare Erfolge

               März, 2016

Damian Borth – Artificial Intelligence & Machine Learning Lab            35
(Leider) Wenig sichtbare Erfolge

Damian Borth – Artificial Intelligence & Machine Learning Lab                           36
Selbstfahrende Fahrzeuge

                                                               https://www.youtube.com/watch?v=CxanE_W46ts

                                  V. Badrinarayanan eta l., "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling”,
                                                                               arXiv preprint arXiv:1505.07293, 2015.

Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                                                       37
Industrie 4.0

Damian Borth – Artificial Intelligence & Machine Learning Lab       38
Gesellschaftliche Verantwortung

Damian Borth – Artificial Intelligence & Machine Learning Lab   39
Künstliche Intelligenz braucht reflektiertes Forschen

Financial Times, 9. Sep 2018

  Damian Borth – Artificial Intelligence & Machine Learning Lab   40
Künstliche Intelligenz braucht reflektiertes Forschen
                                                                  The Economist, 10. Sep 2018

Financial Times, 9. Sep 2018

  Damian Borth – Artificial Intelligence & Machine Learning Lab                           41
Künstliche Intelligenz braucht reflektiertes Forschen
                                                                  The Economist, 10. Sep 2018

Financial Times, 9. Sep 2018                                                           New York Times, 17. Oct 2018

  Damian Borth – Artificial Intelligence & Machine Learning Lab                           42
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on
"Automated individual decision-making, including profiling.: "The data subject shall
have the right not to be subject to a decision based solely on automated processing,
including profiling, which produces legal effects concerning him or her or similarly
significantly affects him or her."
European Law - General Data Protection Regulation (GDPR)

   Damian Borth – Artificial Intelligence & Machine Learning Lab                                43
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on
"Automated individual decision-making, including profiling.: "The data subject shall
have the right not to be subject to a decision based solely on automated processing,
including profiling, which produces legal effects concerning him or her or similarly
significantly affects him or her."
European Law - General Data Protection Regulation (GDPR)
"To ensure every stakeholder involved in the design and development of autonomous
and intelligent systems is educated, trained, and empowered to prioritize ethical
considerations so that these technologies are advanced for the benefit of humanity.
Institute of Electrical and Electronics Engineers (IEEE)

   Damian Borth – Artificial Intelligence & Machine Learning Lab                                44
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on
"Automated individual decision-making, including profiling.: "The data subject shall
have the right not to be subject to a decision based solely on automated processing,
including profiling, which produces legal effects concerning him or her or similarly
significantly affects him or her."
European Law - General Data Protection Regulation (GDPR)
"To ensure every stakeholder involved in the design and development of autonomous
and intelligent systems is educated, trained, and empowered to prioritize ethical
considerations so that these technologies are advanced for the benefit of humanity.
Institute of Electrical and Electronics Engineers (IEEE)
"The ISO committee setup the following structure for AI Standardization to deal with: (1)
foundational standards working group, (2) computational approaches and characteristics
of artificial intelligence systems study group, (3) trustworthiness study group
International Standards Organization ISO - JTC 1 - SC42.

   Damian Borth – Artificial Intelligence & Machine Learning Lab                                45
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on
"Automated individual decision-making, including profiling.: "The data subject shall
have the right not to be subject to a decision based solely on automated processing,
including profiling, which produces legal effects concerning him or her or similarly
significantly affects him or her."
European Law - General Data Protection Regulation (GDPR)
"To ensure every stakeholder involved in the design and development of autonomous
and intelligent systems is educated, trained, and empowered to prioritize ethical
considerations so that these technologies are advanced for the benefit of humanity.
Institute of Electrical and Electronics Engineers (IEEE)
"The ISO committee setup the following structure for AI Standardization to deal with: (1)
foundational standards working group, (2) computational approaches and characteristics
of artificial intelligence systems study group, (3) trustworthiness study group
International Standards Organization ISO - JTC 1 - SC42.
"The aim of the Centre is to enhance understanding of the risk-benefit duality of
Artificial Intelligence and Robotics... The main outcome of the above initiative will be
that all stakeholders, including policy makers and governmental officials, possess
improved knowledge and understanding of both the risks and benefits of such
technologies and that they commence discussion on these risks and potential solutions
in an appropriate and balanced manner.”
UN Centre for Artificial Intelligence and Robotics

   Damian Borth – Artificial Intelligence & Machine Learning Lab                                46
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on   The AI HLEG support the implementation of the European strategy
"Automated individual decision-making, including profiling.: "The data subject shall        on AI. This will include the elaboration of recommendations on
have the right not to be subject to a decision based solely on automated processing,        future AI-related policy development and on ethical, legal and
including profiling, which produces legal effects concerning him or her or similarly        societal issues related to AI, including socio-economic challenges.
significantly affects him or her."                                                          European AI High Level Expert Group
European Law - General Data Protection Regulation (GDPR)
"To ensure every stakeholder involved in the design and development of autonomous
and intelligent systems is educated, trained, and empowered to prioritize ethical
considerations so that these technologies are advanced for the benefit of humanity.
Institute of Electrical and Electronics Engineers (IEEE)
"The ISO committee setup the following structure for AI Standardization to deal with: (1)
foundational standards working group, (2) computational approaches and characteristics
of artificial intelligence systems study group, (3) trustworthiness study group
International Standards Organization ISO - JTC 1 - SC42.
"The aim of the Centre is to enhance understanding of the risk-benefit duality of
Artificial Intelligence and Robotics... The main outcome of the above initiative will be
that all stakeholders, including policy makers and governmental officials, possess
improved knowledge and understanding of both the risks and benefits of such
technologies and that they commence discussion on these risks and potential solutions
in an appropriate and balanced manner.”
UN Centre for Artificial Intelligence and Robotics

   Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                         47
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on   The AI HLEG support the implementation of the European strategy
"Automated individual decision-making, including profiling.: "The data subject shall        on AI. This will include the elaboration of recommendations on
have the right not to be subject to a decision based solely on automated processing,        future AI-related policy development and on ethical, legal and
including profiling, which produces legal effects concerning him or her or similarly        societal issues related to AI, including socio-economic challenges.
significantly affects him or her."                                                          European AI High Level Expert Group
European Law - General Data Protection Regulation (GDPR)
                                                                                            "Fair, Transparent, and Accountable AI”. Consider Statement 5: Social
"To ensure every stakeholder involved in the design and development of autonomous           and Societal Influences of AI including potential influences on privacy,
and intelligent systems is educated, trained, and empowered to prioritize ethical           democracy, criminal justice, and human rights.
considerations so that these technologies are advanced for the benefit of humanity.
                                                                                            Partnership on AI
Institute of Electrical and Electronics Engineers (IEEE)
"The ISO committee setup the following structure for AI Standardization to deal with: (1)
foundational standards working group, (2) computational approaches and characteristics
of artificial intelligence systems study group, (3) trustworthiness study group
International Standards Organization ISO - JTC 1 - SC42.
"The aim of the Centre is to enhance understanding of the risk-benefit duality of
Artificial Intelligence and Robotics... The main outcome of the above initiative will be
that all stakeholders, including policy makers and governmental officials, possess
improved knowledge and understanding of both the risks and benefits of such
technologies and that they commence discussion on these risks and potential solutions
in an appropriate and balanced manner.”
UN Centre for Artificial Intelligence and Robotics

   Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                           48
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on   The AI HLEG support the implementation of the European strategy
"Automated individual decision-making, including profiling.: "The data subject shall        on AI. This will include the elaboration of recommendations on
have the right not to be subject to a decision based solely on automated processing,        future AI-related policy development and on ethical, legal and
including profiling, which produces legal effects concerning him or her or similarly        societal issues related to AI, including socio-economic challenges.
significantly affects him or her."                                                          European AI High Level Expert Group
European Law - General Data Protection Regulation (GDPR)
                                                                                            "Fair, Transparent, and Accountable AI”. Consider Statement 5: Social
"To ensure every stakeholder involved in the design and development of autonomous           and Societal Influences of AI including potential influences on privacy,
and intelligent systems is educated, trained, and empowered to prioritize ethical           democracy, criminal justice, and human rights.
considerations so that these technologies are advanced for the benefit of humanity.
                                                                                            Partnership on AI
Institute of Electrical and Electronics Engineers (IEEE)
                                                                                            The AI Now Institute is an interdisciplinary research center dedicated to
"The ISO committee setup the following structure for AI Standardization to deal with: (1)   understanding the social implications of artificial intelligence. The
foundational standards working group, (2) computational approaches and characteristics      institute focuses on four core domains: Rights & Liberties, Labor &
of artificial intelligence systems study group, (3) trustworthiness study group             Automation, Bias & Inclusion and Safety & Critical Infrastructure.
International Standards Organization ISO - JTC 1 - SC42.                                    AI Now Institute
"The aim of the Centre is to enhance understanding of the risk-benefit duality of
Artificial Intelligence and Robotics... The main outcome of the above initiative will be
that all stakeholders, including policy makers and governmental officials, possess
improved knowledge and understanding of both the risks and benefits of such
technologies and that they commence discussion on these risks and potential solutions
in an appropriate and balanced manner.”
UN Centre for Artificial Intelligence and Robotics

   Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                           49
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on   The AI HLEG support the implementation of the European strategy
"Automated individual decision-making, including profiling.: "The data subject shall        on AI. This will include the elaboration of recommendations on
have the right not to be subject to a decision based solely on automated processing,        future AI-related policy development and on ethical, legal and
including profiling, which produces legal effects concerning him or her or similarly        societal issues related to AI, including socio-economic challenges.
significantly affects him or her."                                                          European AI High Level Expert Group
European Law - General Data Protection Regulation (GDPR)
                                                                                            "Fair, Transparent, and Accountable AI”. Consider Statement 5: Social
"To ensure every stakeholder involved in the design and development of autonomous           and Societal Influences of AI including potential influences on privacy,
and intelligent systems is educated, trained, and empowered to prioritize ethical           democracy, criminal justice, and human rights.
considerations so that these technologies are advanced for the benefit of humanity.
                                                                                            Partnership on AI
Institute of Electrical and Electronics Engineers (IEEE)
                                                                                            The AI Now Institute is an interdisciplinary research center dedicated to
"The ISO committee setup the following structure for AI Standardization to deal with: (1)   understanding the social implications of artificial intelligence. The
foundational standards working group, (2) computational approaches and characteristics      institute focuses on four core domains: Rights & Liberties, Labor &
of artificial intelligence systems study group, (3) trustworthiness study group             Automation, Bias & Inclusion and Safety & Critical Infrastructure.
International Standards Organization ISO - JTC 1 - SC42.                                    AI Now Institute
"The aim of the Centre is to enhance understanding of the risk-benefit duality of           An "AI bot" is not allowed to communicate or interact with another human
Artificial Intelligence and Robotics... The main outcome of the above initiative will be    person in California online with the intent to mislead the other person
that all stakeholders, including policy makers and governmental officials, possess          about its artificial identity for the purpose of knowingly deceiving the
improved knowledge and understanding of both the risks and benefits of such                 person about the content of the communication in order to incentivize a
technologies and that they commence discussion on these risks and potential solutions       purchase or sale of goods or services in a commercial transaction or to
in an appropriate and balanced manner.”                                                     influence a vote in an election.
UN Centre for Artificial Intelligence and Robotics                                          California Government - Senate Bill No. 1001.
   Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                           50
Aktuelle Initiativen in diesem Bereich
Several articles are relevant, including Articles 13-15, 21 and 35. We cite Article 22 on   The AI HLEG support the implementation of the European strategy
"Automated individual decision-making, including profiling.: "The data subject shall        on AI. This will include the elaboration of recommendations on
have the right not to be subject to a decision based solely on automated processing,        future AI-related policy development and on ethical, legal and
including profiling, which produces legal effects concerning him or her or similarly        societal issues related to AI, including socio-economic challenges.
significantly affects him or her."                                                          European AI High Level Expert Group
European Law - General Data Protection Regulation (GDPR)
                                                                                            "Fair, Transparent, and Accountable AI”. Consider Statement 5: Social
"To ensure every stakeholder involved in the design and development of autonomous           and Societal Influences of AI including potential influences on privacy,
and intelligent systems is educated, trained, and empowered to prioritize ethical           democracy, criminal justice, and human rights.
considerations so that these technologies are advanced for the benefit of humanity.
                                                                                            Partnership on AI
Institute of Electrical and Electronics Engineers (IEEE)
                                                                                            The AI Now Institute is an interdisciplinary research center dedicated to
"The ISO committee setup the following structure for AI Standardization to deal with: (1)   understanding the social implications of artificial intelligence. The
foundational standards working group, (2) computational approaches and characteristics      institute focuses on four core domains: Rights & Liberties, Labor &
of artificial intelligence systems study group, (3) trustworthiness study group             Automation, Bias & Inclusion and Safety & Critical Infrastructure.
International Standards Organization ISO - JTC 1 - SC42.                                    AI Now Institute
"The aim of the Centre is to enhance understanding of the risk-benefit duality of           An "AI bot" is not allowed to communicate or interact with another human
Artificial Intelligence and Robotics... The main outcome of the above initiative will be    person in California online with the intent to mislead the other person
that all stakeholders, including policy makers and governmental officials, possess          about its artificial identity for the purpose of knowingly deceiving the
improved knowledge and understanding of both the risks and benefits of such                 person about the content of the communication in order to incentivize a
technologies and that they commence discussion on these risks and potential solutions       purchase or sale of goods or services in a commercial transaction or to
in an appropriate and balanced manner.”                                                     influence a vote in an election.
UN Centre for Artificial Intelligence and Robotics                                          California Government - Senate Bill No. 1001.
   Damian Borth – Artificial Intelligence & Machine Learning Lab                                                                           51
Haben Sie Fragen?

Damian Borth – Artificial Intelligence & Machine Learning Lab            52
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