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BEGIN:VEVENT
UID:news358@ius.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20210714T205443
DTSTART;VALUE=DATE:20210721
SUMMARY:Program Chapter Conference
DESCRIPTION:organized by University of Basel funded by Swiss National Resea
 rch Foundation\\r\\n(Ro)Bot-human cooperation has become more commonplace 
 and\, with that\, developments in the division of work among human and mac
 hine as well as the monitoring of human behavior by a (ro)bot. A relevant 
 example is automated driving where\, in an attempt to enhance safety\, dri
 ving assistance systems support human drivers\, but also observe and evalu
 ate the drivers’ ability to control the car. In the event that human-mac
 hine interactions cause harm (e.g.\, an accident involving an automated ve
 hicle)\, the relevant evidence is also likely to be machine evidence\, or 
 data generated by AI. These developments raise new legal issues\, for inst
 ance (1) apportioning the obligations of ro(bot) and human drivers as well
  as possible liability for negligence or even intentional wrongdoing\, (2)
  defining evidentiary standards for the use of “machine evidence” in c
 riminal proceedings\, (3) understanding the legal narratives at play\, in 
 government discussions of auto- mated vehicles and when judges allocate le
 gal responsibility for an incident resulting from an automated vehicle.\\r
 \\nThree panels explore the digital turn’s impact on particular areas of
  substantive law\, procedural law and legal narratives. The aim is to iden
 tify the dynamics in the various jurisdictions as well as common major dir
 ections in this new area.
X-ALT-DESC:<p><em>organized by University of Basel<br /> funded by Swiss Na
 tional Research Foundation</em></p>\n<p>(Ro)Bot-human cooperation has beco
 me more commonplace and\, with that\, developments in the division of work
  among human and machine as well as the monitoring of human behavior by a 
 (ro)bot. A relevant example is automated driving where\, in an attempt to 
 enhance safety\, driving assistance systems support human drivers\, but al
 so observe and evaluate the drivers’ ability to control the car. In the 
 event that human-machine interactions cause harm (e.g.\, an accident invol
 ving an automated vehicle)\, the relevant evidence is also likely to be ma
 chine evidence\, or data generated by AI. These developments raise new leg
 al issues\, for instance (1) apportioning the obligations of ro(bot) and h
 uman drivers as well as possible liability for negligence or even intentio
 nal wrongdoing\, (2) defining evidentiary standards for the use of “mach
 ine evidence” in criminal proceedings\, (3) understanding the legal narr
 atives at play\, in government discussions of auto- mated vehicles and whe
 n judges allocate legal responsibility for an incident resulting from an a
 utomated vehicle.</p>\n<p>Three panels explore the digital turn’s impact
  on particular areas of substantive law\, procedural law and legal narrati
 ves. The aim is to identify the dynamics in the various jurisdictions as w
 ell as common major directions in this new area.</p>
DTEND;VALUE=DATE:20210723
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