Not
good, if true.
67
per cent of industrial organizations do not report cybersecurity
incidents
A
recent Kaspersky survey has discovered that two-thirds (67 per cent)
of industrial organizations do not report cybersecurity incidents to
regulators.
… Kaspersky’s
State of Industrial Cybersecurity 2019 report shows that many
companies are flouting reporting guidelines – perhaps to avoid
regulatory punishments and public disclosure that can harm their
reputation. In fact, respondents said that more than half (52 per
cent) of incidents lead to a violation of regulatory requirements,
while 63 per cent of them consider loss of customer confidence in the
event of a breach as a major business concern.
A
really useful tip. Grab this ebook!
Resources
for Measuring Cybersecurity
Kathryn
Waldron at R Street has collected
all
of the different resources and methodologies for measuring
cybersecurity.
Words
to inflame legislators?
Has
Facebook Become Too Big to Fail?
Avoiding
Skynet.
Defense
Innovation Board unveils AI ethics principles for the Pentagon
The
Defense Innovation Board, a panel of 16
prominent technologists advising
the Pentagon, today voted to approve AI ethics principles for the
Department of Defense. The report includes 12 recommendations for
how the U.S. military can apply ethics in the future for both combat
and non-combat AI systems. The principles are broken into five main
principles: responsible, equitable, traceable, reliable, and
governable.
… The
document titled “AI Principles: Recommendations on the Ethical Use
of Artificial Intelligence by the Department of Defense” and an
accompanying white paper will be shared on the Defense
Innovation Board website,
a DoD spokesperson told VentureBeat.
The
assumption that AI must follow human thought patterns is probably an
error.
We
Shouldn’t be Scared by ‘Superintelligent A.I.’
… The
idea of artificial intelligence going awry resonates with human fears
about technology. But current discussions of superhuman A.I. are
plagued by flawed intuitions about the nature of intelligence.
We
don’t need to go back all the way to Isaac Asimov — there are
plenty of recent examples of this kind of fear. Take a
recent Op-Ed essay in The New York Times and
a new book, “Human Compatible,” by the computer scientist Stuart
Russell.
… The
assumption seems to be that this A.I. could surpass the generality
and flexibility of human intelligence while seamlessly retaining the
speed, precision and programmability of a computer. This imagined
machine would be far smarter than any human, far better at “general
wisdom and social skills,” but at the same time it would preserve
unfettered access to all of its mechanical capabilities. And as Dr.
Russell’s example shows, it would lack humanlike common sense.
The
problem with such forecasts is that they underestimate the complexity
of general, human-level intelligence. Human intelligence is a
strongly integrated system, one whose many attributes — including
emotions, desires, and a strong sense of selfhood and autonomy —
can’t easily be separated.
Conservative.
5 ways AI
will evolve from algorithm to co-worker
Now that Siri and Alexa have moved from guest to
family member at home, the next frontier for artificial
intelligence-powered virtual assistants is the office.
KPMG's Traci Gusher thinks that these assistants
will soon move out of the basic "What's the weather going to
be?" phase to take on more work-specific tasks. In the next
stage of artificial intelligence (AI) development, humans will be
able to use virtual assistants as notetakers. These assistants will
need coaching along the way just like any junior employee. Gusher
predicts the technology will reach the ideal state of "virtual
keepers of wisdom" by 2030. At that point, the virtual
assistants will be able to track the news, figure out the relevance
to a company's business, and then analyze existing contracts to spot
any necessary changes or new advantages.
What other departments have vast stores of data?
DOE readies
multibillion-dollar AI push
The U.S. Department of Energy (DOE) is planning a
major initiative to use artificial intelligence to speed up
scientific discoveries. At a meeting here last week, DOE officials
said they will likely ask Congress for between $3 billion and $4
billion over 10 years, roughly the amount the agency is spending to
build next-generation "exascale" supercomputers. But DOE
has a unique asset: torrents of data. The agency funds atom
smashers, large-scale surveys of the universe, and the sequencing of
thousands of genomes. Algorithms trained with these data could help
discover new materials or rare signals of new particles in the deluge
of high energy physics data. But they face intense global
competition to fund researchers and companies to lead what could be
the next phase of the digital revolution.
Perspective. Everyone will be acquiring health
tech.
Google to
acquire Fitbit, valuing the smartwatch maker at about $2.1 billion
This is not new. But somehow we forget the
obvious and need an occasional reminder.
How Tech
CEOs Are Redefining the Top Job
… In 2017, John Chambers, then CEO of Cisco
Systems, delivered a disquieting message to participants in Harvard
Business School’s executive education program for CEOs. “A
decade or two ago, CEOs could be in their offices with spreadsheets,
executing on strategy,” he said. “Now, if you’re not out
listening to the market and catching market transitions, … if
you’re not understanding that you need to constantly reinvent
yourself every three to five years, you as a CEO will not survive.”
For my spare time.
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