It’s not exactly war, so what should we call it?
https://news.softpedia.com/news/japan-expects-russian-cyberattacks-on-tokyo-summer-olympics-533044.shtml
Japan
Expects Russian Cyberattacks on Tokyo Summer Olympics
… It appears to be the retaliation for the
exclusion of Russian teams from the Olympic Games in Pyeongchang and
Tokyo over widespread doping allegations. We expect massive
cyberattacks on the Tokyo Olympics, he adds.
So, let’s be anti-social.
https://www.makeuseof.com/does-social-media-do-more-harm-than-good/
Does Social
Media Do More Harm Than Good for Society?
Media has always had the power to influence our
society, but it wasn't until the social media boom that we saw it on
this scale and magnitude. While it has potential for good, social
media has been also been harmful to society because of how we use it.
Here's how social media is harming our mental
health, self-image, communication skills, and society at
large—potentially causing more harm than good overall.
Case
or no case? If you face is marked “public” can it also be
“private?” Will expectations or privacy policies rule?
https://www.theverge.com/2021/5/27/22455446/clearview-ai-legal-privacy-complaint-privacy-international-facial-recognition-eu
Clearview
AI hit with sweeping legal complaints over controversial face
scraping in Europe
Privacy
International (PI) and several other European privacy and digital
rights organizations announced
today that
they’ve
filed legal complaints against
the controversial facial recognition company Clearview
AI.
The complaints filed in France, Austria, Greece, Italy, and the
United Kingdom say that the company’s method of documenting and
collecting data — including images of faces it automatically
extracts from public websites — violates European privacy laws.
New York-based Clearview claims to have built “the largest known
database of 3+ billion facial images.”
PI,
NYOB, Hermes Center for Transparency and Digital Human Rights, and
Homo Digitalis all claim that Clearview’s data collection goes
beyond what the average user would expect when using
services like Instagram, LinkedIn, or YouTube. “Extracting our
unique facial features or even sharing them with the police and other
companies goes far beyond what we could ever expect as online users,”
said PI legal officer Ioannis Kouvakas in a joint statement.
No
clear direction yet, but lots of potential for Privacy lawsuits.
https://www.cnbc.com/2021/05/27/office-surveillance-digital-leash-on-workers-could-be-crossing-a-line.html
Bosses
putting a ‘digital leash’ on remote workers could be crossing a
privacy line
… A
recent
report by
the Institute for the Future of Work, a British research and
development group, said that algorithmic systems typically used in
monitoring the performance of warehouse workers or delivery riders
have pervaded more and more industries.
… Prospect
has published some research into workers’ attitude to these
technologies. The majority
of respondents in one survey said
they were uncomfortable with the likes of camera monitoring or
keystroke monitoring.
This
technology is catching more and more attention from critics.
Microsoft faced
a backlash over
its “productivity score” in Microsoft 365, which allowed managers
to track an employee’s output. Microsoft
has since rowed back on the product’s features,
minimizing the data collected on individuals.
PwC
was criticized
last year for
developing a facial recognition tool for finance firms that would
monitor an employee and ensure they are at their desk when they’re
supposed to be. A PwC spokesperson told CNBC that the tool was a
“conceptual prototype.”
(Related)
https://www.politico.eu/article/ai-workplace-surveillance-facial-recognition-software-gdpr-privacy/
Your
boss is watching: How AI-powered surveillance rules the workplace
Companies
are buying increasingly intrusive artificial intelligence tools to
keep an eye on their workers.
No
matter how brilliant this idea is, it will never get by human
politicians. (Unless we declare an AI as human?)
https://www.cnbc.com/2021/05/27/europeans-want-to-replace-lawmakers-with-ai.html
More
than half of Europeans want to replace lawmakers with AI, study says
… Researchers
at IE University’s Center for the Governance of Change asked 2,769
people from 11 countries worldwide how they would feel about reducing
the number of national parliamentarians in their country and giving
those seats to an AI that would have access to their data.
The
results, published Thursday, showed that despite AI’s clear
and obvious limitations,
51% of Europeans said they were in favor of such a move.
My
AI suggests we should listen to this…
https://spectrum.ieee.org/podcast/robotics/artificial-intelligence/can-a-robot-be-arrested-hold-a-patent-pay-income-taxes
Can
a Robot Be Arrested? Hold a Patent? Pay Income Taxes?
When
horses were replaced by engines, for work and transportation, we
didn’t need to rethink our legal frameworks. So when a
fixed-in-place factory machine is replaced by a free-standing AI
robot, or when a human truck driver is replaced by autonomous driving
software, do we really need to make any fundamental changes to the
law?
My
guest today seems to think so. Or perhaps more accurately, he thinks
that surprisingly, we do not; he says we need to change the laws less
than we think. In case after case, he says, we just need to treat
the robot more or less the same way we treat a person.
A
year ago, he was giving presentations in which he argued that AIs can
be patentholders. Since then, his views have advanced even further
in that direction. And so last fall, he published a short but
powerful treatise, The
Reasonable Robot: Artificial Intelligence and the Law,
published
by Cambridge University Press. In it, he argues that the law more
often than not should not discriminate between AI and human behavior.
The
potential for error is stunning. Imagine the effort required to
determine who tweaked the data enough to make it dangerous!
https://www.healthcareitnews.com/news/synthetic-datas-growing-role-healthcare-ai-machine-learning-and-robotics
Synthetic
data's growing role in healthcare AI, machine learning and robotics
Today
there is a bottleneck in the development of artificial intelligence
and machine learning – real-world data collection. AI and machine
learning models require large datasets to become proficient at a
task.
But
preparing these datasets for model training is both costly and labor
intensive. It is a conundrum, and the lack of large, accurately
labeled datasets for specific applications is holding back the
development of artificial intelligence and machine learning.
Some
say synthetic data offers a solution – data that imitates
real-world data. Instead of manually collecting and labeling
datasets from the real-world, synthetic data is instead
computer-generated.
Interesting read…
https://onezero.medium.com/a-i-is-solving-the-wrong-problem-253b636770cd
A.I. Is
Solving the Wrong Problem
People don’t make
better decisions when given more data, so why do we assume A.I. will?
Is that really me bungee jumping from the bridge
over I25 last Tuesday? Of course not. Here’s a video of me
surfing in Maui on Tuesday. And another of me having tea with Queen
Elizabeth.
https://www.bespacific.com/the-threat-of-deepfakes-in-litigation-raising-the-authentication-bar-to-combat-falsehood/
The Threat
of Deepfakes in Litigation: Raising the Authentication Bar to Combat
Falsehood
Vanderbilt
Journal of Entertainment & Technology Law, Vol. 23, No. 2, 2021:
“Deepfakes are all over the internet—from shape-shifting
comedians and incoherent politicians to disturbingly realistic fake
pornography. Emerging technology makes it easier than ever to create
a convincing deepfake. What used to take significant time and money
to develop is now widely
available, often for free,
thanks to rapid advances in deepfake technology. Deepfakes threaten
individual rights and even democracy. But their impact on litigation
should not be overlooked. The US adversarial system of justice is
built on a foundation of seeking out the truth to arrive at a just
result. The Federal Rules of Evidence serve as an important
framework for this truth-seeking mission, and the authentication
rules, in particular, should play a key role in preventing deepfake
evidence from corrupting the legal process. This Article looks at
the unique threat of deepfakes and how the authentication rules under
the Federal Rules of Evidence can adapt to help deal with these new
challenges. It examines authentication standards that have emerged
for social media evidence and suggests a middle-ground approach that
redefines the quantity and quality of circumstantial evidence
necessary for a reasonable jury to determine authenticity in the age
of deepfakes. This middle-ground approach may raise the evidentiary
bar in some cases, but it seeks to balance efficiency with the need
to combat falsehood in the litigation process.”
Resources for my Business students.
https://www.bespacific.com/competitive-intelligence-a-selective-resource-guide-updated-may-2021/
Competitive
Intelligence – A Selective Resource Guide – Updated May 2021
Via
LLRX
–
Competitive
Intelligence – A Selective Resource Guide – Completely revised
and updated May 2021,
By
Sabrina
I. Pacifici
This
guide on competitive intelligence resources on the web was first
published in 2005, and I have continued to edit, revise and update it
over the course of 16 years. My objective is to provide researchers
with a current, well vetted, reliable, actionable subject matter
specific pathfinder on a wide range of sites and services to assist
in the delivery of outstanding customer service. Seasoned
researchers, law librarians and knowledge managers routinely use free
or low cost value added and content rich sites as components in the
delivery of more robust and comprehensive work products. This “Best
of the Web CI Guide” seeks to engage researchers with topical
search engines, portals, government sponsored and open source
databases, news and topical alerts and data archives, as well as
academic, corporate and publisher specific services and applications.
The sites I have included are benchmarks for internet search and
discovery, monitoring, analyzing and reviewing current and historical
data; news; reports, analysis and commentary; statistics; and
profiles on companies, markets, countries, people and issues, from a
national and a global perspective. My recommendations are
accompanied by links to trusted and targeted content and sources
produced by reputable media and publishing companies, businesses,
government organizations, academe, IGOs and NGOs, and expert legal
and technology professionals.