Computer
Security in the age of Covid. So there is a 50% chance you have been
hit!
https://www.cpomagazine.com/cyber-security/half-of-all-organizations-experienced-cyber-security-incidents-during-the-remote-working-period/
Half
of All Organizations Experienced Cyber Security Incidents During the
Remote Working Period
Half
of all organizations experienced security incidents associated with
remote working during the lockdown period, according to a report by
Tessian. The “Securing
the Future of Hybrid Working”
report also found that phishing remained the most prevalent threat
facing employees working remotely. While remote working was a
predisposing factor for cyberattacks, the Tessian report found that
most employees prefer hybrid working environments, with just 11%
exclusively preferring office work.
Isn’t
this a crime in most places by now?
https://www.zdnet.com/article/ransomware-victims-arent-reporting-attacks-to-police-thats-causing-a-big-problem/?&web_view=true
Ransomware
victims aren't reporting attacks to police. That's causing a big
problem
… while
ransomware is one of the most high-profile forms of cyberattack,
Europol's report warns that it remains an under-reported crime as
many organisations still aren't coming forward to law enforcement
after falling victim.
Several
law enforcement agencies across Europe say they've only heard of
ransomware cases via reports in local media.
The
report suggests that approaching police to start a criminal
investigation was "not generally a priority" for victims,
who are more concerned with maintaining business continuity and
limiting reputational damage. For some, the idea of getting law
enforcement involved could be seen as a risk to their reputation.
That's
why some businesses are choosing to engage with what Europol
describes as "private sector security firms" to investigate
attacks or negotiate ransom payments, instead of approaching the
authorities.
Perspective.
Fortunately, humans did not have to read all these emails.
https://ciso.economictimes.indiatimes.com/news/microsoft-blocked-13-billion-malicious-emails-in-2019/78486273
Microsoft
blocked 13 billion malicious emails in 2019
Microsoft
blocked over 13 billion malicious and suspicious mails in 2019, of
which more than 1 billion were phishing credential attacks.
… according
to Microsoft's annual Digital Defense Report.
Do
precedents swim the Atlantic?
https://www.cnbc.com/2020/10/06/ecj-limits-government-spying-on-citizens-mobile-and-internet-data-.html
EU’s
top court limits government spying on citizens’ mobile and internet
data
… The
European Court of Justice (ECJ), the EU’s highest legal authority,
ruled Tuesday that member states cannot collect mass mobile and
internet data on citizens.
Forcing
internet and phone operators to carry out the “general and
indiscriminate transmission or retention of traffic data and location
data” is against EU law, the court explained in its ruling.
Will
the US (or the rest of the EU) adopt these guidelines?
https://www.insideprivacy.com/data-privacy/french-supervisory-authority-publishes-final-version-of-cookie-guidelines-says-it-will-start-enforcing-them-in-april-2021/
French
Supervisory Authority Publishes Final Version of Cookie Guidelines,
Says It Will Start Enforcing Them in April 2021
On
October 1, 2020, the French Supervisory Authority (“CNIL”)
published the final version of its Guidelines
on cookies and other tracking technologies (hereafter,
“guidelines” – see announcement here,
and guidelines here,
in French), as well as an adjoining set of best practice
recommendations
(in
French) with examples on how to implement the guidelines. In this
blog post, we summarize the key points mentioned in the CNIL’s
guidelines.
Let
me ‘splain.
https://techxplore.com/news/2020-10-explanations-data-based-users-ai.html
Do
explanations for data-based predictions actually increase users'
trust in AI?
In
recent years, many artificial intelligence (AI) and robotics
researchers have been trying to develop systems that can provide
explanations for their actions or predictions. The idea behind their
work is that as AI systems become more widespread, explaining why
they act in particular ways or why they made certain predictions
could increase transparency and consequently users' trust in them.
Researchers
at Bretagne Atlantique Research Center in Rennes and the French
National Center for Scientific Research in Toulouse have recently
carried out a study that explores and questions this assumption, with
the hope of better understanding how AI explainability may actually
impact users' trust in AI. Their paper, published in Nature Machine
Intelligence, argues that an AI system's explanations might not
actually be as truthful or transparent as some users assume them to
be.
… More
information: Erwan
Le Merrer et al. Remote explainability faces the bouncer problem,
Nature
Machine Intelligence (2020).
DOI:
10.1038/s42256-020-0216-z
“Should”
is a question for later...
https://slate.com/technology/2020/10/artificial-intelligence-job-interviews.html
Should
Robots Be Conducting Job Interviews?
… Odds
are, if you’re applying for the kinds of jobs that attract lots of
applicants, you’re going to be interviewed by one eventually. It’s
so prevalent that Fast Company ran an article telling readers about
“4
things you must do to prep for an AI-powered job interview,”
while LinkedIn runs a free A.I. video interview practice
tool.
And as much as the companies behind them tell me otherwise, you
might not love it.
What
if my AI is ‘better’ than your AI? Are you negligent?
https://www.bespacific.com/legal-analytics/
Legal
Analytics
Alschner,
Wolfgang, Legal Analytics (July 28, 2020). Forthcoming, AI and the
Law in Canada, T. Scassa & F. Martin-Bariteau, eds. LexisNexis
Canada, 2020, Available at SSRN: https://ssrn.com/abstract=3662196
“Lawyers
across the world are beginning to use statistics, machine learning
and data science to review contracts, investigate case law or predict
judicial outcomes. This ability to mine law as data is known as
legal analytics. Legal analytics promises to render legal analysis
scalable as lawyers can quickly peruse hundreds, thousands or even
millions of legal texts that would take months to read. Legal
information thereby not only becomes more accessible, but legal
services can be provided more efficiently and effectively helping to
close the access-to-justice gap. Data and algorithms power such
legal analytics. But whereas algorithms are often open source,
access to legal documents such as statutes or cases in bulk is
surprisingly restricted as data is often concentrated among a few
large legal service providers. Creating a healthy eco-system for
legal analytics to thrive thus requires open legal data, while
protecting sensitive private information, as well as innovation and
competition among providers.”
(Related)
https://www.bespacific.com/a-short-happy-guide-to-advanced-legal-research/
A
Short & Happy Guide to Advanced Legal Research
Long,
Ann Walsh, A
Short & Happy Guide to Advanced Legal Research (Table
of Contents and Chapter 6 on The
Ethics of Online Legal Research)
(August 11, 2020). A Short and Happy Guide to Advanced Legal
Research (West Academic 2020) ISBN: 9781640207486, Available at SSRN:
https://ssrn.com/abstract=3671870
–
“Legal
research and writing are the skills every practicing lawyer relies on
to be successful, but every practicing lawyer also needs to be aware
of the ethical issues associated with online legal research. This
chapter will explore the ethical duty lawyers have to their clients
while conducting legal research online. ABA Model Rule 1.1 imposes a
duty of competence upon all lawyers and defines competent
representation to include “the legal knowledge, skill, thoroughness
and preparation reasonably necessary for the representation.”
Because conducting research is often an essential part of the
“thoroughness and preparation reasonably necessary for the
representation,” this ethical component applies directly to legal
research.
Today’s
lawyers also need to understand whether litigation analytics and/or
AI will be cost and time efficient for their client’s issue in
order to be both competent and thorough. A
lawyer’s duty of competence now includes a duty regarding
technology,
which includes new legal research technologies using artificial
intelligence and litigation analytics. Lawyers must “keep abreast
of changes in the law and its practice, including the benefits and
risks associated with relevant technology.” Thirty-seven
jurisdictions have adopted an “ethical duty of technology
competence” as part of their rules of professional conduct, and
Florida and North Carolina now require specific technology Continuing
Legal Education (CLE) credits. While there is not a consensus on
what “technology” is — it can range from using email to
creating smart contracts — conducting legal research online
requires an understanding of the associated risks to your clients.
The attached excerpt includes the table of contents for the book and
the chapter on the ethics of online legal research. The chapter
discusses the
duty of competence related to AI and litigation analytics,
cloud-based services and third-party vendors, preventing the
inadvertent or unauthorized disclosure of client information, and
reasonable fees…”
Or,
they could collect my dumb questions…
https://www.bespacific.com/structuring-techlaw/
Structuring
Techlaw
Crootof,
Rebecca and Ard, BJ, Structuring
Techlaw (July
30, 2020 – Published September 14, 2020). Harvard Journal of Law &
Technology, Forthcoming, Available at SSRN:
https://ssrn.com/abstract=3664124
or
http://dx.doi.org/10.2139/ssrn.3664124
–
“Technological breakthroughs challenge core legal assumptions and
generate regulatory debates. Practitioners and scholars usually
tackle these questions by examining the impacts of a particular
technology within conventional legal subjects — say, by considering
how drones should be regulated under privacy law, property law, or
the law of armed conflict. While individually useful, these siloed
analyses mask the repetitive nature of the underlying questions and
necessitate the regular reinvention of the regulatory wheel. An
overarching framework — one which can be employed across
technologies and across subjects — is needed. The
fundamental challenge of tech-law is not how to best regulate novel
technologies, but rather how to best address familiar forms of
uncertainty in new contexts.
Accordingly, we construct a three-part framework, designed to
encourage a more thoughtful resolution of tech-law questions. It:
delineates
the three types of tech-fostered legal uncertainty, which
facilitates recognizing common issues;
requires
a considered selection between permissive and precautionary
approaches to technological regulation, given their differing
distributive consequences; and
highlights
tech-law-specific considerations when extending extant law,
creating new law, or reassessing a legal regime.
This
structure emphasizes the possibility of considered and purposeful
intervention in the iterative and co-constructive relationship
between law and technology. By making it easier to learn from the
rich history of prior dilemmas and to anticipate future issues, this
framework enables policymakers, judges, and other legal actors to
make more just and effective regulatory decisions going forward…”
Perspective.
https://www.bespacific.com/crs-seminars-on-disruptive-technologies-videos/
CRS
Seminars on Disruptive Technologies: Videos
CRS
via LC – CRS
Seminars on Disruptive Technologies: Videos, Updated October 5, 2020.
“New technologies, and those that represent an evolutionary
improvement of an existing tool or process, that exhibit the
potential to have large-scale effects on social and economic activity
are often referred to as “disruptive” technologies. They can
disrupt existing markets, practices, and processes by displacing and
replacing incumbent technologies and actors. The emergence of
smartphones through the convergence of mobile phone and computing
technologies, for example, profoundly affected the telecommunications
sector—including its relevant market actors, service offerings, and
hardware and software infrastructures. It has also impacted how
individuals and groups communicate through voice, text, images, and
video; consume and create media; access and disseminate information;
and engage in leisure activities. The positive and negative short-,
medium-, and long-term effects emerging technologies may have are
difficult to predict and present a range of issues for Congress.
Since the development trajectories and potential outcomes of emerging
technologies are uncertain—some that show great promise may
ultimately fail to develop as expected and others may have unintended
yet profound impacts—systematic data to help guide policy
development and legislation is sparse. To support Congress in
examining these opportunities and issues, CRS has held a series of
seminars for Congress designed to provide an opportunity for
congressional staff to better understand the possible impacts of
disruptive technologies of interest. In the seminars held to date,
over 30government and private-sector experts discussed technical,
economic, policy, and legal aspects of eight disruptive technology
topics: advanced battery energy storage, artificial intelligence,
autonomous vehicles, blockchain, commercial spaceflight,
cybersecurity, gene editing, and quantum information science. This
report describes each of the seminars in the series and provides
links to videos of them
that are available on the CRS website…”
Just
in case.
https://www.bespacific.com/thingiverse/
Thingiverse
“Thingiverse
is
a free library of files for printing in 3D. Search or browse for a
thing you want and there’s a good chance someone has already
designed a model and posted a free version for downloading.
Thingiverse
has
been around a while but I just got my first 3D printer so now I am
singing its praises. Some models are easier to print than others,
but the files are standard 3D format so you can easily edit, modify,
or improve it any way you want. It’s
like having a public library of e-things instead of e-books.
Its existence is one of the reasons I got a 3D printer.”