Another
nibble at privacy. Starts as a good idea: make driving safer.
Listening to an audio book is illegal? Next: listening to anyone
else in the car?
'World
first' cell phone detection cameras rolled out in Australia
The
Australian state of New South Wales rolled out "high definition
detection cameras" on Sunday, designed to catch drivers using
cell
phones behind the wheel.
Andrew
Constance, New South Wales' Minister for Roads said the "world-first"
technology would target illegal cell phone use through "fixed
and mobile trailer-mounted cameras."
The
cameras will use artificial
intelligence to
review images and detect illegal use of cell phones, according to
Transport
for NSW.
Images
identified as being likely to contain a driver illegally using a call
phone will then be verified by authorized personnel, authorities
said, noting that images captured by the system would be "securely
stored and managed."
… Making
and receiving phone calls while driving is legal in New South Wales,
but using hands-free technology. Other functions, including using
social media, video calling, photography, playing
audio while driving are only legal if a driver has parked
their vehicle outside of traffic.
Who will automate the lawyers?
The Ethical
AI Lawyer: What is Required of Lawyers When They Use Automated
Systems?
This article focuses on individual lawyers’
responsible use of artificial intelligence (AI) in their practice.
More specifically, it examines the ways in which a lawyer’s ethical
capabilities and motivations are tested by the rapid growth of
automated systems, both to identify the ethical risks posed by AI
tools in legal services, and to uncover what is required of lawyers
when they use this technology. To do so, we use psychologist James
Rest’s Four-component Model of Morality (FCM), which represents the
necessary elements for lawyers to engage in professional conduct when
utilising AI. We examine issues associated with automation that most
seriously challenge each component in context, as well as the skills
and resolve lawyers need to adhere to their ethical duties.
Importantly, this approach is grounded in social psychology. That
is, by looking at human ‘thinking and doing’ (i.e., lawyers’
motivations and capacity when using AI), this offers a different,
complementary perspective to the typical, legislative approach in
which the law is analysed for regulatory gaps.
Anything similar in the US? (Website is under
construction)
JEC-QA: A
Legal-Domain Question Answering Dataset
We present JEC-QA, the largest question answering
dataset in the legal domain, collected from the National Judicial
Examination of China. The examination is a comprehensive evaluation
of professional skills for legal practitioners. College students are
required to pass the examination to be certified as a lawyer or a
judge. The dataset is challenging for existing question answering
methods, because both retrieving relevant materials and answering
questions require the ability of logic reasoning. Due to the high
demand of multiple reasoning abilities to answer legal questions, the
state-of-the-art models can only achieve about 28% accuracy on
JEC-QA, while skilled humans and unskilled humans can reach 81% and
64% accuracy respectively, which indicates a huge gap between humans
and machines on this task. We will release JEC-QA and our baselines
to help improve the reasoning ability of machine comprehension
models. You can access the dataset from http://jecqa.thunlp.org/
Correcting errors in robot programming.
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