Self-driving vehicles are coming — and in some respects,
they're already here. Our roads already have vehicles with automated-driving
technologies, and this fall, the National Highway Traffic Safety Administration
released guidelines that seek to further accelerate the technology's adoption
and deployment. As such, lawyers, judges, lawmakers, and policymakers must
decide how they will react to this seismic societal shift: laissez faire,
allowing development through common law, or proactively shaped through
regulation or legislation?
This CLE will discuss many of the
most-pressing aspects of automated driving:
• Automated driving's current and
proposed state and federal laws and regulations
• Potential effects on
liability, including factors that will affect insurers, personal-injury
attorneys, and product-liability litigators.
• Discussions about algorithmic
driving decisions' effect on injuries, deaths, and liability
• Criminal
implications when legal code can be enforced through computer code
• Privacy
implications when manufacturers collect driving data and log trip routes. Can
governments access them? Can advertisers use them to re-direct routes?
•
Ethical implications when algorithms might determine who survives a crash, and
who doesn't. How should those decisions be made?
Damien Riehl will analyze these topics and more, as we
discuss the legal implications of what the NHTSA says may be "the greatest
personal transportation revolution since the popularization of the personal
automobile nearly a century ago."
This CLE is approved for
credit through May 26, 2019.
Presenter:
Damien
Riehl is a technology lawyer with a background in legal software design
and development. After clerking for the chief judges of the Minnesota Court of
Appeals and U.S. District Court in Minnesota, he litigated for a decade with
Robins Kaplan. He practices in data privacy (CIPP/US), copyright, trademarks,
business torts,
breaches of contract, antitrust, financial
litigation, and
appeals.
CLE
Credits:
1.0 Standard CLE Credit approved |
Event Code: 237012
Cost:
MSBA Members: $29.95
Non-MSBA Members:
$64.95