Are
we doing as well as China?
The
Use of Facial Recognition Technology by the United States and China,
and How It Affects Civil Liberties
The purpose of
this research was to compare the use of facial recognition technology
on civil liberties between the United States and China. An analysis
of the accuracy levels of facial recognition algorithms is examined
as well as how and why it leads to racial bias in the United States.
Americans are granted safeguards against unreasonable search and
seizures and a reasonable amount of privacy in public. However,
legislators have not yet introduced the legal framework to accord
citizens those rights under this new technology.
Is
“The Minority Report” inevitable?
Erasing
the Bias Against Using Artificial Intelligence to Predict Future
Criminality: Algorithms are Color Blind and Never Tire
Many
problems in the criminal justice system would be solved if we could
accurately determine which offenders would commit offenses in the
future. The likelihood that a person will commit a crime in the
future is the single most important consideration that influences
sentencing outcomes. It is relevant to the objectives of community
protection, specific deterrence, and rehabilitation. The risk of
future offending is also a cardinal consideration in bail and
probation decisions. Empirical evidence establishes that judges are
poor predictors of future offending—their decisions are barely more
accurate than the toss of a coin. This undermines the efficacy and
integrity of the criminal justice system.
Consider
using this tool to predict the benefits/problems of proposed laws.
Predicting
Judicial Outcomes in the Brazilian Legal System Using Textual
Features
The
combination of Natural Language Processing and Artificial
Intelligence for the field of Law is a growing area, with the
potential of radically changing the daily routine of legal
professionals. The amount of text generated by those professionals
is outstanding, and to this point, still unexplored by Computer
Science. One of the most acclaimed research field covering both
knowledge areas is Legal Prediction, in which intelligent systems try
to predict specific judicial characteristics, such as the judicial
outcome or the judicial class or a given case. This research intends
to create a classifier to predict judicial outcomes in the Brazilian
legal system. At first, we developed a text crawler to retrieve
judicial outcomes from the official Brazilian electronic legal
systems. Afterward, a few judicial subjects were selected, and some
of their features were extracted. Later, a set of different
classifiers was applied to predict the legal considering these
textual features.
Creating
the mythical(?) ethical lawyer.
The
Ethical AI Lawyer: What is Required of Lawyers When They Use
Automated Systems?
Artificial
intelligence (AI) is profoundly changing the field in which lawyers
work, one that has already undergone enormous change. It is also
predicted that, as in other professional domains, AI
will come to exceed the performance of practitioners[1]
and potentially replace them altogether. In legal services, AI may
be used to create automated advice platforms, generate drafts and
undertake review of documents for discovery and due diligence—perhaps
foreshadowing a ‘complete overhaul’ in how these services are
provided.[2] Speculation about AI’s further potential to automate
elements of legal practice has ramped up in recent years,[3] as even
wider applications, such as ‘predicting’ the outcomes of cases,
continue to be investigated. At the same time, it is claimed that AI
will make lawyers’ practice more interesting through automation of
‘grunt work’, and further offer greater commercial opportunities
in new legal problems it raises.[4] Legal AI may be marketed or
purposed for consumer (or client) application without need for a
lawyer intermediary, but many products are intended for use by
lawyers and their organisations.[5]
As a huge
SciFi fan I have to ask: Did I become mentally resilient as a youth
or am I
Sci-Fi
and Fantasy Build Mental Resiliency in Young Readers
Young
people who are “hooked” on watching fantasy or reading science
fiction may be on to something. Contrary to a common misperception
that reading this genre is an
unworthy practice,
reading science fiction and fantasy may help
young people cope,
especially with the stress and anxiety of living through the COVID-19
pandemic.
… While
many people may not consider science fiction, fantasy or speculative
fiction to be “literary,” research shows that all fiction can
generate critical
thinking skills and emotional intelligence for
young readers. Science fiction may have a power all its own.
… Historically,
those who read science fiction have been stigmatized
as geeks who
can’t cope with reality. This perception
persists,
particularly for those who are unaware of the changes to this genre
in the past several decades. A 2016
article in
Social and Personality Psychology Compass, a scholarly journal,
argues that “connecting to story worlds involves a process of ‘dual
empathy,‘ simultaneously engaging in intense personal processing of
challenging issues, while ‘feeling through’ characters, both of
which produce benefits.”
While
science fiction has become more mainstream,
one study claimed that science fiction makes readers stupid.
A subsequent study by the same authors later refuted this claim when
the quality
of writing was
taken into account.
Something
my students could use?
Download
a FREE Copy of Success Habits for Dummies
A
large part of what we do, how we think, and what we achieve is
governed by habits. It makes sense then, that by developing the
right habits, we can better position ourselves for success.
… Interested?
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1 comment:
Thanks for taking the time to share this informative information with us. I found your blog recently and hope to read more from you in the future. Have a wonderful rest of your day and keep up the posts.
Greg Prosmushkin
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