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Responsibility - The bridge between

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1 Responsibility - The bridge between
the robot-cars & the criminal justice 2019.III.14. Laszlo Pitlik

2 Department of Informatics (KJU)
Presenter Motto (Knuth, 1992, Stanford): Science is what we understand well enough to explain to a computer; art is everything else. Keywords: Online similarity analyses, artificial intelligence, big-data, data-driven decision/policy making, data-visualization, … Laszlo Pitlik Head of department Department of Informatics (KJU) Co-authors: Laszlo Pitlik (junior), Matyas Pitlik, Marcell Pitlik – MY-X research team WWW: Full-text:

3 Responsibility The bridge between the robot-cars & the criminal justice Abstract: Criminal justice has to explore responsibilities for specific anomalies concerning the human behaviors. Responsibility can be interpreted as a kind of causal connection between not expected impacts and human activities before – even if it is a kind of reckless endangerment committed during the line of duty by a human expert. Big-data-oriented approaches have a wider scope for the term of crime: crimes are all anomalies against a valid rule system where rule systems can be declarative or non-declarative ones. Robot-cars have a high-level complexity compared to each other robot-like constructions, therefore the robot-cars can be seen as an ideal object to explore changes concerning responsibility constellations/interpretations of affected human beings (c.f. personal responsibility vs. chained responsibility). In the rel. near future, the anomalies in the human-driven quality management should be interpreted as one of the most important responsibilities and therefore as one of the most relevant crime-sources against the whole society. Keywords: similarity-driven analyses, norm-like behaviors, anti-discriminative models, robot-judges

4 So sorry, but it will be a race through the Complex-City…

5 Agenda Knowledge is what can be transferred into source code – each other human activity is a kind of artistic performance… Introduction Turing-Tests Moral Machine Conclusions Authors are not legal experts but experienced participants e.g. of the Global Legal Hackathon (2019) and owner of an online G-P-S-E (general problem solver engine) A direct Turing-Test decides about the quality of robots. An inverse Turing-Test of human beings. The term of Good is the basis of the martial law. Robots are capable of evaluating objects in an objective way! There will be legal-related new jobs/services in the near future: e.g. LAIWYER / GLAWGLE, ...

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7 decides about the quality An inverse Turing-Test
Agenda Knowledge is what can be transferred into source code – each other human activity is a kind of artistic performance… Introduction Turing-Tests Moral Machine Conclusions Authors are not legal experts but experienced participants e.g. of the Global Legal Hackathon (2019) and owner of an online G-P-S-E (general problem solver engine) A direct Turing-Test decides about the quality of robots. An inverse Turing-Test of human beings. The term of Good is the basis of the martial law. Robots are capable of evaluating objects in an objective way! There will be legal-related new jobs/services in the near future: e.g. LAIWYER / GLAWGLE, ...

8 Turing-Tests in general

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14 Inverse Turing-Tests The inverse Turing-Test is successful if a human being has the same behavior pattern (e.g. in a traffic situation) like a robot-car In such a case the human driver can never have any kinds of responsibilities. This person might never be punished.... Case Nr.1 Case Nr.2 Case Nr.3 Conclusions Turning left The norm-like behavior can be modelled based on anti- discriminative principles. Priority rules (till now FUZZY!) are a relevant part of the Knuth’s world from now on. Responsibilities can be derived in an automated way. Parking Different decisions for the same parking slot can also be explored. The traffic regulation system is corrupt if the robot-cars identify different decisions approximating parking slot from different directions. Navigating The robot-cars are capable of deriving ideal routes also for multilayered evaluation. The traffic system is corrupt if the optimal solutions are excluded. In general Robot-cars are already a kind of robot judges. The corruptness of systems (like traffic systems) can be seen as a rel. new kind of crime – where the criminal persons are the traffic experts. …reckless endangerment committed during the line of duty by a human experts…

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16 Inverse Turing-Tests The inverse Turing-Test is successful if a human being has the same behavior pattern (e.g. in a traffic situation) like a robot-car In such a case the human driver can never be have a kind of responsibility. This person might never be punished.... Case Nr.1 Case Nr.2 Case Nr.3 Conclusions Turning left The norm-like behavior can be modelled based on anti- discriminative principles. Priority rules (till now FUZZY!) are a relevant part of the Knuth’s world from now on. Responsibilities can be derived in an automated way. Parking Different decisions for the same parking slot can also be explored. The traffic regulation system is corrupt if the robot-cars identify different decisions approximating parking slot from different directions. Navigating The robot-cars are capable of deriving ideal routes also for multilayered evaluation. The traffic system is corrupt if the optimal solutions are excluded. In general Robot-cars are already a kind of robot judges. The corruptness of systems (like traffic systems) can be seen as a rel. new kind of crime – where the criminal persons are the traffic experts. …reckless endangerment committed during the line of duty by a human experts…

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18 Inverse Turing-Tests The inverse Turing-Test is successful if a human being has the same behavior pattern (e.g. in a traffic situation) like a robot-car In such a case the human driver can never be have a kind of responsibility. This person might never be punished.... Case Nr.1 Case Nr.2 Case Nr.3 Conclusions Turning left The norm-like behavior can be modelled based on anti- discriminative principles. Priority rules (till now FUZZY!) are a relevant part of the Knuth’s world from now on. Responsibilities can be derived in an automated way. Parking Different decisions for the same parking slot can also be explored. The traffic regulation system is corrupt if the robot-cars identify different decisions approximating parking slot from different directions. Navigating The robot-cars are capable of deriving ideal routes also for multilayered evaluation. The traffic system is corrupt if the optimal solutions are excluded. In general Robot-cars are already a kind of robot judges. The corruptness of systems (like traffic systems) can be seen as a rel. new kind of crime – where the criminal persons are the traffic experts. …reckless endangerment committed during the line of duty by a human experts…

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20 Robot-cars are already a kind of robot judges.
Inverse Turing-Tests The inverse Turing-Test is successful if a human being has the same behavior pattern (e.g. in a traffic situation) like a robot-car In such a case the human driver can never have a kind of responsibility. This person might never be punished.... Case Nr.1 Case Nr.2 Case Nr.3 Conclusions Turning left The norm-like behavior can be modelled based on anti- discriminative principles. Priority rules (till now FUZZY!) are a relevant part of the Knuth’s world from now on. Responsibilities can be derived in an automated way. Parking Different decisions for the same parking slot can also be explored. The traffic regulation system is corrupt if the robot-cars identify different decisions approximating parking slot from different directions. Navigating The robot-cars are capable of deriving ideal routes also for multilayered evaluation. The traffic system is corrupt if the optimal solutions are excluded. In general Robot-cars are already a kind of robot judges. The corruptness of systems (like traffic systems) can be seen as a rel. new kind of crime – where the criminal persons are the traffic experts. …reckless endangerment committed during the line of duty by a human experts…

21 Agenda Real-time decisions are a kind of martial law… Introduction
Turing-Tests Moral Machine Conclusions Authors are not legal experts but experienced participants e.g. of the Global Legal Hackathon (2019) and owner of an online G-P-S-E (general problem solver engine) A direct Turing-Test decides about the quality of robots. An inverse Turing-Test of human beings. The term of Good is the basis of the martial law. Robots are capable of evaluating objects in an objective way! There will be legal-related new jobs/services in the near future: e.g. LAIWYER / GLAWGLE, ...

22 WHO SHOULD BE K I L E D ?

23 Robot-cars vs. martial law
Robot-cars will decide about life and death in real time = martial law!? The question is: what kind of data will be involved and how? Case Nr.1 Case Nr.2 Case Nr.3 Conclusions Visible (non-invasive) data The moral-machine-project (MIT) tries to interpet visible attributes (like age, sex, etc.) of car-passengers and pedestrians. The methodology for data processing is still not clear: but even the own OGPSE is capable of deriving an anti- discriminative evaluation running real- time on the board-computer. ID-based approach Every living creatures (incl. animals) are to identify from high distance / in advance. In this case arbitrary data can be processed at once / quasi in advance. Lack of data can lead to death! KAZOHINIA (a data/ratio/similarity-driven society?!) Robot-cars will be a kind of Robot-Judges based on the martial law! Transparency will reduce the potential being killed by robots without having any chance for an appeal. …reckless endangerment committed during the line of duty JUST by a human experts NEVER by robots…

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25 Robot-cars vs. martial law
Robot-cars will decide about life and death in real time = martial law!? The question is: what kind of data will be involved and how? Case Nr.1 Case Nr.2 Case Nr.3 Conclusions Visible (non-invasive) data The moral-machine-project (MIT) tries to interpet visible attributes (like age, sex, etc.) of car-passengers and pedestrians. The methodology for data processing is still not clear: but even the own OGPSE is capable of deriving an anti- discriminative evaluation running real- time on the board-computer. ID-based approach Every living creatures (incl. animals) are to identify from high distance / in advance. In this case arbitrary data can be processed at once / quasi in advance. Lack of data can lead to death! KAZOHINIA (a data/ratio/similarity-driven society?!) Robot-cars will be a kind of Robot-Judges based on the martial law! Transparency will reduce the potential being killed by robots without having any chance for an appeal. …reckless endangerment committed during the line of duty JUST by a human experts NEVER by robots…

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27 Robot-cars will be a kind of Robot-Judges based on the martial law!
Robot-cars vs. martial law Robot-cars will decide about life and death in real time = martial law!? The question is: what kind of data will be involved and how? Case Nr.1 Case Nr.2 Case Nr.3 Conclusions Visible (non-invasive) data The moral-machine-project (MIT) tries to interpet visible attributes (like age, sex, etc.) of car-passengers and pedestrians. The methodology for data processing is still not clear: but even the own OGPSE is capable of deriving an anti- discriminative evaluation running real- time on the board-computer. ID-based approach Every living creatures (incl. animals) are to identify from high distance / in advance. In this case arbitrary data can be processed at once / quasi in advance. Lack of data can lead to death! KAZOHINIA (a data/ratio/similarity-driven society?!) Robot-cars will be a kind of Robot-Judges based on the martial law! Transparency will reduce the potential being killed by robots without having any chance for an appeal. …reckless endangerment committed during the line of duty JUST by a human experts NEVER by robots…

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29 Department of Informatics (KJU)
Presenter THANK YOU FOR YOUR ATTENTION! Laszlo Pitlik Head of department Department of Informatics (KJU) Co-authors: Laszlo Pitlik (junior), Matyas Pitlik, Marcell Pitlik – MY-X research team WWW: Full-text:


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